This is the first in a series of articles which explore how to integrate Artificial Intelligence into a video processing infrastructure using off-the-market cameras and Intel OpenVino Model Server running at the edge. In the below sections we will learn some background trivia, hardware/software prerequisites for implementation, and steps to setup a production-ready AI enabled Network Video Recorder that has the best of both worlds - Microsoft and Intel.
What is a video analytics platform
In the last few years, video analytics, also known as video content analysis or intelligent video analytics, has attracted increasing interest from both industry and the academic world. Video Analytics products add artificial intelligence to cameras by analyzing video content in real-time, extracting metadata, sending out alerts and providing actionable intelligence to security personnel or other systems. Video Analytics can be embedded at the edge (even in-camera), in servers on-premise, and/or on-cloud. They extract only temporal and spatialevents in a scene, filtering out noise such as lighting changes, weather, trees and animal movements. Here is a logical flow of how it works.
Let’s face it: on-premises and legacy video surveillance infrastructure are still in the dark ages. Physical servers often have limited virtualization integration and support, as well as racks upon racks of servers that clog up performance regardless of whether the data center is using NVR, direct-attached storage, storage area network or hyper-converged infrastructure. It’s been that way for the last 10, if not 20, years. Buying and housing an NVR for five or six cameras is expensive and time-consuming from a management and maintenance point of view. With great improvements in connectivity, compression and data transfer methods, a cloud-native solution becomes an excellent option. Here are some of the popular use cases in this field and digram of a sample deployment for critical infrastructure.
Motion Detection
Intrusion Detection
Line Crossing
Object Abandoned
License Plate Recognition
Vehicle Detection
Asset Management
Face Detection
Baby Monitoring
Object Counting
Common approaches for proposals to clients involve either a new installation (greenfield project) or alift and shift scenario (brownfield project). Video intelligence is one industry where it becomes important to follow abluefieldapproach - meant to describe a combination of bothbrownfieldandgreenfield, where some streams of information are already in motion and some will be new instances of technology. The reason is that the existing hardware and software installations are very expensive and although they are open to new ideas, they want to keep what is already working. The current article is about setting up this new technology in a way so it accepts pipelines, for inference and event generation, on live video for the above use cases in future.
The rise of AI NVRs
Video Intelligence was invented in 1942 by German engineer, Walter Bruch, so that he and others could observe the launch of V2 rockets on a private system. While its purpose has not drastically changed in the past 75 years, the system itself has undergone radical changes. Since its development, users’ expectations have evolved exponentially, necessitating the development of faster, better, and more cost-effective technology.
Initially, they could only watch through live streams as they happened— recordings would become available much later (VCR). Until the recent past these were analog devices using analog cameras and a Digital Video Recorder (DVR). Not unlike your everyday television box which used to run off these DVRs in every home! Recently, these have started getting replaced with Power Over Ethernet (PoE) enabled counterparts, running off Network Video Recorders (NVR). Here is a quick visual showing the difference between DVR and NVR.
AI NVR Video Analytics System is a plug-and-play turnkey solution, including video search for object detection, high-accuracy intrusion detection, face search and face recognition, license plate and vehicle recognition, people/vehicle counting, and abnormal-activity detection. All functions support live stream and batch mode processing, real-time alerts and GDPR-friendly privacy protection when desired. AI NVR overcomes the challenges of many complex environments and is fully integrated with AI video analytics features for various markets, including perimeter protection of businesses, access controls for campuses and airports, traffic management by law enforcement, and business intelligence for shopping centers. Here is a logical flow of an AI NVR from video capture to data-driven applications.
In this article we are going to see how to create such an AI NVR at the edge using Azure Video Analyzer (AVA) and Intel products.
Azure Video Analyzer - a one-stop solution from Microsoft
Azure Video Analyzer (AVA) is a brand new service to build intelligent video applications that span the edge and the cloud. It offers the capability to capture, record, and analyze live video along with publishing the results - video and/or video analytics. Video can be published to the edge or the Video Analyzer cloud service, while video analytics can be published to Azure services (in the cloud and/or the edge). With Video Analyzer, you can continue to use your existing video management systems (VMS) and build video analytics apps independently. AVA can be used in conjunction with computer vision SDKs and toolkits to build cutting edge IoT solutions. The diagram below illustrates this.
This is the most essential component of creating the AI NVR. As you may have guessed, in this article we are going to deploy an AVA module on IoT edge to coordinate between the model server and the video feeds through an http extension. You can 'bring you own model' and call it through either http or grpc endpoint.
Intel OpenVINO toolkit
OpenVINO (OpenVisual Inference and Neural network Optimization) is a toolkit provided by Intel to facilitate faster inference of deep learning models. It helps developers to create cost-effective and robust computer vision applications. It enables deep learning inference at the edge and supports heterogeneous execution across computer vision accelerators — CPU, GPU, Intel® Movidius™ Neural Compute Stick, and FPGA. It supports a large number of deep learning models out of the box.
OpenVino uses its own Intermediate Representation (IR) (link)(link) format similar to ONNX (link), and works with all your favourite deep learning tools like Tensorflow, Pytorch etc. You can either convert your resultant model to openvino or use/optimize the available pretained models in the Intel model zoo. In this article we are specifically using the OpenVino Model Server (OVMS) available through this Azure marketplace module, Out of the many models in their catalogue I am only using those that count faces, vehicles, and people. These are identified by their call signs - personDetection, faceDetection, and vehicleDetection.
Prerequisites
There are some hardware and software prerequisites for creating this platform.
ONVIF PoE camera able to send encoded RTSP streams (link)(link)
Working knowledge of Computer Vision & Model Serving
ONVIF PoE camera
ONVIF (the Open Network Video Interface Forum) is a global and open industry forum with the goal of facilitating the development and use of a global open standard for the interface of physical IP-based security products. ONVIF creates a standard for how IP products within video surveillance and other physical security areas can communicate with each other. This is different from propreitary equipment, and you can use all open source libraries with them. A decent quality camera like Reolink 410 is enough. Technically you can use wireless camera but I would not recommend that in a professional setting.
Intel edge device with Ubuntu
This can be any device with one or more Intel cpu. Intel NUC makes great low cost IoT edge device and even the cheap ones can handle around 10 cameras running at 30 fps. I am using a base model with Celeron processor priced at around 130$. The camera(s), device, and some cables are all you need to implement this. Optionally, like me, you may need a PoE switch or network extender to get connected. Check the wattage of the PoE to be at least 5 W, and bandwidth to be at least 20 mbpsper camera. You also need to install Ubuntu Linux.
Active Azure subscription
Surely, you will need this one, but as we know Azure has this immense suit of products, and while ideally we want to have everything, it may not be practically feasible. For practical purposes you might have to ask for access to particular services, meaning you have to know ahead exactly which ones you want to use. We will need the following:
Generally this prerequisite takes a lot of engineering and is expensive. Thankfully the OVMS extension from Intel is capable of serving high quality models from their zoo, because without this you would have to do the whole flask/socket server thing and it wouldn't be half as good. Whatever models you need you can mention their call sign and it will be served instantly for you at the edge by the extension. We will see more about this in the next article once things are setup. Note: we are making the platform in such a way that you can use Azure CustomVision or Azure Machine Learning models on this same setup in future with very minimal changes.
Reference Architecture
We are definitely living in interesting times when something as complex as video analytics is almost an OOTB feature!
Here I present an alternate architecture that we followed, implemented, and got comparable results to the one above. This is a stripped down version of the official architecture, contains only the necessary components of a MVP for AI NVR, and is much easier to disect.
Notice it looks somewhat simliar to the logical flow of an AI NVR shown in one of the prior sections.
Inbound feed to the AI NVR
Before we go into the implementation I wanted to mention some aspects about the inputs and outputs of this system.
Earlier we said the system needs RTSP input, even though there are other forms of streaming protocols such as RTMP(link), HTTP etc. However, we choose RTSP mostly because its optimized for viewing experience and scalability.
For development purpose it is recommended to use the excellent RTSP Simulator provided by Microsoft.
To display the video being processed use any of the following players.
You can technically use a usb webcam and create your own RTSP stream(link)(link), However, underneath it uses GStreamer,RTSPServer, and pipelines. From my experience you should be careful using this method, especially since you will need understanding of hardware/software media encoding (e.g. H.264) and GStreamer dockerization .
One very interesting option that I used as a video source was the RTSP Camera Server app. This will instantly turn your smartphone camera into an RTSP feed that your AI NVR can consume !
Last, but not the least you should make sure that your incoming feed has the required resolution that your CV algorithms need. The trick is not to use too good cameras. 4 to 5MP is fine for maintaining pixel distribution parity with available pretrained models.
Outbound events from the AI NVR
In Azure Video Analyzer, each inference object regardless of using HTTP-based contract or gRPC based contract follows the object model described below.
The example below contains a single Inference event with vehicleDetection. We will see more of these in a future article.
Apart from the inference events there are many other type of events, such as the MediaSessionEstablished event, which happens when you are recording the media either in File Sink or Video Sink.
[IoTHubMonitor] [9:42:18 AM] Message received from [avasampleiot-edge-device/avaedge]:
{
"body": {
"sdp": "SDP:\nv=0\r\no=- 1586450538111534 1 IN IP4 XXX.XX.XX.XX\r\ns=Matroska video+audio+(optional)subtitles, streamed by the LIVE555 Media Server\r\ni=media/camera-300s.mkv\r\nt=0 0\r\na=tool:LIVE555 Streaming Media v2020.03.06\r\na=type:broadcast\r\na=control:*\r\na=range:npt=0-300.000\r\na=x-qt-text-nam:Matroska video+audio+(optional)subtitles, streamed by the LIVE555 Media Server\r\na=x-qt-text-inf:media/camera-300s.mkv\r\nm=video 0 RTP/AVP 96\r\nc=IN IP4 0.0.0.0\r\nb=AS:500\r\na=rtpmap:96 H264/90000\r\na=fmtp:96 packetization-mode=1;profile-level-id=4D0029;sprop-parameter-sets=XXXXXXXXXXXXXXXXXXXXXX\r\na=control:track1\r\n"
},
"applicationProperties": {
"dataVersion": "1.0",
"topic": "/subscriptions/{subscriptionID}/resourceGroups/{name}/providers/microsoft.media/videoanalyzers/{ava-account-name}",
"subject": "/edgeModules/avaedge/livePipelines/Sample-Pipeline-1/sources/rtspSource",
"eventType": "Microsoft.VideoAnalyzers.Diagnostics.MediaSessionEstablished",
"eventTime": "2021-04-09T09:42:18.1280000Z"
}
}
The above points are mentioned so as to show how some of the expected outputs look like. After all that, lets see how exactly you can create a foundation for your AI NVR.
Implementation
In this section we will see how we can use these tools to our benefit. For the Azure resources I may not go through the entire creation or installation process as there are quite a few articles on the internet for doing those. I shall only mention the main things to look out for. Here is an outline of the steps involved in the implementation.
Steps 1 and 2 are common steps in many use cases and can be done by following this. For 3 you need to make sure you are creating an 'IoT Edge' device and not a simple IoT device. Follow the link for 4 to create a managedidentity. For 5 use the interface to create an AVA account. Enter a name for your Video Analyzer account. The name must be all lowercase letters or numbers with no spaces, and 3 to 24 characters in length. Fill in the proper subscription, resource group, storage account, and identity from previous steps. You should now be having a running AVA account. Use these steps to create 'Edge Provisioninig Token' for step 6. Remember, this is just for AVA Edge, not to be confused with provisioning through DPS. For 7, ubuntu linux is good, the support for this in windows is a work in progress. After you create the account keep the following information on standby.
AVA_PROVISIONING_TOKEN="<Provisioning token>"
Step 8, although simple, is an important step in the process. All you actually need to do is to run the below command.
However, underneath this there is a lot going on in preparation for the NVR. The Azure Video Analyzer module should be configured to run on the IoT Edge device with a non-privileged local user account. The module needs certain local folders for storing application configuration data. The RTSP camera simulator module needs video files with which it can synthesize a live video feed. The prep-device script in the above command automates the tasks of creating input and configuration folders, downloading video input files, and creating user accounts with correct privileges.
Steps 9,10, and 11 are for setting up your ONVIF camera(s). Things to note here are that you need to set static class C IP addresses for each camera, and set https protocol along with difficult-to-guess passwords. Again, take extra caution if you are doing this with wireless camera. I use VLC to confirm the live camera feed from each camera. You may think this is obvious or choose to automate this, but I have seen a lot of issues in either. I personally recommend clients to confirm feed/frame-rate from every camera manually using urls. VLC is my player of choice but you have many more choices.
Before you bring Azure into the picture, you must have all your RTSP urls ready and tested in setp 12. Here is an example rtsp url of the main feed. Notice the port number '554' and encoding 'h264'.
For 20 add the following module definitions in your deployment json. This will cover Azure AVA, Intel OVMS, and RTSP Simulator. Also follow this for more details.
21 to 23 are again the usual steps for all IoT solutions and once you deploy the template, you should have the following modules running as below.
There, we have created the foundation for our Azure IoT Edge device to perform as a powerful AI NVR. Here 'avaedge' is the Azure Video Analyzer service, 'openvino' provides the model server extension, and 'rtspsim' creates the simulated 'live' input video feed. In the next article we will see how we can use this setup to detect faces or maybe cars and stuff.
Future Work
I hope you enjoyed this article on setting up an AI enabled NVR for video analyticsapplication. We love to share our experiences and get feedback from the community as to how we are doing. Look out for upcoming articles and have a great time with Microsoft Azure.
To learn more about Microsoft apps and services, contact us atcontact@abersoft.caor 1-833-455-1850!
"}},"componentScriptGroups({\"componentId\":\"custom.widget.MicrosoftFooter\"})":{"__typename":"ComponentScriptGroups","scriptGroups":{"__typename":"ComponentScriptGroupsDefinition","afterInteractive":{"__typename":"PageScriptGroupDefinition","group":"AFTER_INTERACTIVE","scriptIds":[]},"lazyOnLoad":{"__typename":"PageScriptGroupDefinition","group":"LAZY_ON_LOAD","scriptIds":[]}},"componentScripts":[]},"cachedText({\"lastModified\":\"1744658874050\",\"locale\":\"en-US\",\"namespaces\":[\"components/community/NavbarDropdownToggle\"]})":[{"__ref":"CachedAsset:text:en_US-components/community/NavbarDropdownToggle-1744658874050"}],"cachedText({\"lastModified\":\"1744658874050\",\"locale\":\"en-US\",\"namespaces\":[\"shared/client/components/common/QueryHandler\"]})":[{"__ref":"CachedAsset:text:en_US-shared/client/components/common/QueryHandler-1744658874050"}],"cachedText({\"lastModified\":\"1744658874050\",\"locale\":\"en-US\",\"namespaces\":[\"components/messages/MessageCoverImage\"]})":[{"__ref":"CachedAsset:text:en_US-components/messages/MessageCoverImage-1744658874050"}],"cachedText({\"lastModified\":\"1744658874050\",\"locale\":\"en-US\",\"namespaces\":[\"shared/client/components/nodes/NodeTitle\"]})":[{"__ref":"CachedAsset:text:en_US-shared/client/components/nodes/NodeTitle-1744658874050"}],"cachedText({\"lastModified\":\"1744658874050\",\"locale\":\"en-US\",\"namespaces\":[\"components/messages/MessageTimeToRead\"]})":[{"__ref":"CachedAsset:text:en_US-components/messages/MessageTimeToRead-1744658874050"}],"cachedText({\"lastModified\":\"1744658874050\",\"locale\":\"en-US\",\"namespaces\":[\"components/messages/MessageSubject\"]})":[{"__ref":"CachedAsset:text:en_US-components/messages/MessageSubject-1744658874050"}],"cachedText({\"lastModified\":\"1744658874050\",\"locale\":\"en-US\",\"namespaces\":[\"components/users/UserLink\"]})":[{"__ref":"CachedAsset:text:en_US-components/users/UserLink-1744658874050"}],"cachedText({\"lastModified\":\"1744658874050\",\"locale\":\"en-US\",\"namespaces\":[\"shared/client/components/users/UserRank\"]})":[{"__ref":"CachedAsset:text:en_US-shared/client/components/users/UserRank-1744658874050"}],"cachedText({\"lastModified\":\"1744658874050\",\"locale\":\"en-US\",\"namespaces\":[\"components/messages/MessageTime\"]})":[{"__ref":"CachedAsset:text:en_US-components/messages/MessageTime-1744658874050"}],"cachedText({\"lastModified\":\"1744658874050\",\"locale\":\"en-US\",\"namespaces\":[\"components/messages/MessageBody\"]})":[{"__ref":"CachedAsset:text:en_US-components/messages/MessageBody-1744658874050"}],"cachedText({\"lastModified\":\"1744658874050\",\"locale\":\"en-US\",\"namespaces\":[\"components/messages/MessageCustomFields\"]})":[{"__ref":"CachedAsset:text:en_US-components/messages/MessageCustomFields-1744658874050"}],"cachedText({\"lastModified\":\"1744658874050\",\"locale\":\"en-US\",\"namespaces\":[\"components/messages/MessageRevision\"]})":[{"__ref":"CachedAsset:text:en_US-components/messages/MessageRevision-1744658874050"}],"cachedText({\"lastModified\":\"1744658874050\",\"locale\":\"en-US\",\"namespaces\":[\"components/messages/MessageReplyButton\"]})":[{"__ref":"CachedAsset:text:en_US-components/messages/MessageReplyButton-1744658874050"}],"cachedText({\"lastModified\":\"1744658874050\",\"locale\":\"en-US\",\"namespaces\":[\"components/messages/MessageAuthorBio\"]})":[{"__ref":"CachedAsset:text:en_US-components/messages/MessageAuthorBio-1744658874050"}],"cachedText({\"lastModified\":\"1744658874050\",\"locale\":\"en-US\",\"namespaces\":[\"shared/client/components/users/UserAvatar\"]})":[{"__ref":"CachedAsset:text:en_US-shared/client/components/users/UserAvatar-1744658874050"}],"cachedText({\"lastModified\":\"1744658874050\",\"locale\":\"en-US\",\"namespaces\":[\"shared/client/components/ranks/UserRankLabel\"]})":[{"__ref":"CachedAsset:text:en_US-shared/client/components/ranks/UserRankLabel-1744658874050"}],"cachedText({\"lastModified\":\"1744658874050\",\"locale\":\"en-US\",\"namespaces\":[\"components/users/UserRegistrationDate\"]})":[{"__ref":"CachedAsset:text:en_US-components/users/UserRegistrationDate-1744658874050"}],"cachedText({\"lastModified\":\"1744658874050\",\"locale\":\"en-US\",\"namespaces\":[\"shared/client/components/nodes/NodeAvatar\"]})":[{"__ref":"CachedAsset:text:en_US-shared/client/components/nodes/NodeAvatar-1744658874050"}],"cachedText({\"lastModified\":\"1744658874050\",\"locale\":\"en-US\",\"namespaces\":[\"shared/client/components/nodes/NodeDescription\"]})":[{"__ref":"CachedAsset:text:en_US-shared/client/components/nodes/NodeDescription-1744658874050"}],"cachedText({\"lastModified\":\"1744658874050\",\"locale\":\"en-US\",\"namespaces\":[\"components/tags/TagView/TagViewChip\"]})":[{"__ref":"CachedAsset:text:en_US-components/tags/TagView/TagViewChip-1744658874050"}],"cachedText({\"lastModified\":\"1744658874050\",\"locale\":\"en-US\",\"namespaces\":[\"shared/client/components/nodes/NodeIcon\"]})":[{"__ref":"CachedAsset:text:en_US-shared/client/components/nodes/NodeIcon-1744658874050"}]},"CachedAsset:pages-1744410422716":{"__typename":"CachedAsset","id":"pages-1744410422716","value":[{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"BlogViewAllPostsPage","type":"BLOG","urlPath":"/category/:categoryId/blog/:boardId/all-posts/(/:after|/:before)?","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"CasePortalPage","type":"CASE_PORTAL","urlPath":"/caseportal","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"CreateGroupHubPage","type":"GROUP_HUB","urlPath":"/groups/create","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"CaseViewPage","type":"CASE_DETAILS","urlPath":"/case/:caseId/:caseNumber","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"InboxPage","type":"COMMUNITY","urlPath":"/inbox","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"HelpFAQPage","type":"COMMUNITY","urlPath":"/help","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"IdeaMessagePage","type":"IDEA_POST","urlPath":"/idea/:boardId/:messageSubject/:messageId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"IdeaViewAllIdeasPage","type":"IDEA","urlPath":"/category/:categoryId/ideas/:boardId/all-ideas/(/:after|/:before)?","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"LoginPage","type":"USER","urlPath":"/signin","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"BlogPostPage","type":"BLOG","urlPath":"/category/:categoryId/blogs/:boardId/create","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"UserBlogPermissions.Page","type":"COMMUNITY","urlPath":"/c/user-blog-permissions/page","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"ThemeEditorPage","type":"COMMUNITY","urlPath":"/designer/themes","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"TkbViewAllArticlesPage","type":"TKB","urlPath":"/category/:categoryId/kb/:boardId/all-articles/(/:after|/:before)?","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1730819800000,"localOverride":null,"page":{"id":"AllEvents","type":"CUSTOM","urlPath":"/Events","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"OccasionEditPage","type":"EVENT","urlPath":"/event/:boardId/:messageSubject/:messageId/edit","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"OAuthAuthorizationAllowPage","type":"USER","urlPath":"/auth/authorize/allow","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"PageEditorPage","type":"COMMUNITY","urlPath":"/designer/pages","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"PostPage","type":"COMMUNITY","urlPath":"/category/:categoryId/:boardId/create","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"ForumBoardPage","type":"FORUM","urlPath":"/category/:categoryId/discussions/:boardId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"TkbBoardPage","type":"TKB","urlPath":"/category/:categoryId/kb/:boardId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"EventPostPage","type":"EVENT","urlPath":"/category/:categoryId/events/:boardId/create","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"UserBadgesPage","type":"COMMUNITY","urlPath":"/users/:login/:userId/badges","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"GroupHubMembershipAction","type":"GROUP_HUB","urlPath":"/membership/join/:nodeId/:membershipType","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"MaintenancePage","type":"COMMUNITY","urlPath":"/maintenance","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"IdeaReplyPage","type":"IDEA_REPLY","urlPath":"/idea/:boardId/:messageSubject/:messageId/comments/:replyId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"UserSettingsPage","type":"USER","urlPath":"/mysettings/:userSettingsTab","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"GroupHubsPage","type":"GROUP_HUB","urlPath":"/groups","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"ForumPostPage","type":"FORUM","urlPath":"/category/:categoryId/discussions/:boardId/create","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"OccasionRsvpActionPage","type":"OCCASION","urlPath":"/event/:boardId/:messageSubject/:messageId/rsvp/:responseType","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"VerifyUserEmailPage","type":"USER","urlPath":"/verifyemail/:userId/:verifyEmailToken","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"AllOccasionsPage","type":"OCCASION","urlPath":"/category/:categoryId/events/:boardId/all-events/(/:after|/:before)?","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"EventBoardPage","type":"EVENT","urlPath":"/category/:categoryId/events/:boardId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"TkbReplyPage","type":"TKB_REPLY","urlPath":"/kb/:boardId/:messageSubject/:messageId/comments/:replyId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"IdeaBoardPage","type":"IDEA","urlPath":"/category/:categoryId/ideas/:boardId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"CommunityGuideLinesPage","type":"COMMUNITY","urlPath":"/communityguidelines","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"CaseCreatePage","type":"SALESFORCE_CASE_CREATION","urlPath":"/caseportal/create","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"TkbEditPage","type":"TKB","urlPath":"/kb/:boardId/:messageSubject/:messageId/edit","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"ForgotPasswordPage","type":"USER","urlPath":"/forgotpassword","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"IdeaEditPage","type":"IDEA","urlPath":"/idea/:boardId/:messageSubject/:messageId/edit","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"TagPage","type":"COMMUNITY","urlPath":"/tag/:tagName","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"BlogBoardPage","type":"BLOG","urlPath":"/category/:categoryId/blog/:boardId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"OccasionMessagePage","type":"OCCASION_TOPIC","urlPath":"/event/:boardId/:messageSubject/:messageId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"ManageContentPage","type":"COMMUNITY","urlPath":"/managecontent","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"ClosedMembershipNodeNonMembersPage","type":"GROUP_HUB","urlPath":"/closedgroup/:groupHubId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"CommunityPage","type":"COMMUNITY","urlPath":"/","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"ForumMessagePage","type":"FORUM_TOPIC","urlPath":"/discussions/:boardId/:messageSubject/:messageId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"IdeaPostPage","type":"IDEA","urlPath":"/category/:categoryId/ideas/:boardId/create","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1730819800000,"localOverride":null,"page":{"id":"CommunityHub.Page","type":"CUSTOM","urlPath":"/Directory","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"BlogMessagePage","type":"BLOG_ARTICLE","urlPath":"/blog/:boardId/:messageSubject/:messageId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"RegistrationPage","type":"USER","urlPath":"/register","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"EditGroupHubPage","type":"GROUP_HUB","urlPath":"/group/:groupHubId/edit","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"ForumEditPage","type":"FORUM","urlPath":"/discussions/:boardId/:messageSubject/:messageId/edit","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"ResetPasswordPage","type":"USER","urlPath":"/resetpassword/:userId/:resetPasswordToken","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1730819800000,"localOverride":null,"page":{"id":"AllBlogs.Page","type":"CUSTOM","urlPath":"/blogs","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"TkbMessagePage","type":"TKB_ARTICLE","urlPath":"/kb/:boardId/:messageSubject/:messageId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"BlogEditPage","type":"BLOG","urlPath":"/blog/:boardId/:messageSubject/:messageId/edit","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"ManageUsersPage","type":"USER","urlPath":"/users/manage/:tab?/:manageUsersTab?","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"ForumReplyPage","type":"FORUM_REPLY","urlPath":"/discussions/:boardId/:messageSubject/:messageId/replies/:replyId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"PrivacyPolicyPage","type":"COMMUNITY","urlPath":"/privacypolicy","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"NotificationPage","type":"COMMUNITY","urlPath":"/notifications","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"UserPage","type":"USER","urlPath":"/users/:login/:userId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"OccasionReplyPage","type":"OCCASION_REPLY","urlPath":"/event/:boardId/:messageSubject/:messageId/comments/:replyId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"ManageMembersPage","type":"GROUP_HUB","urlPath":"/group/:groupHubId/manage/:tab?","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"SearchResultsPage","type":"COMMUNITY","urlPath":"/search","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"BlogReplyPage","type":"BLOG_REPLY","urlPath":"/blog/:boardId/:messageSubject/:messageId/replies/:replyId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"GroupHubPage","type":"GROUP_HUB","urlPath":"/group/:groupHubId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"TermsOfServicePage","type":"COMMUNITY","urlPath":"/termsofservice","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"CategoryPage","type":"CATEGORY","urlPath":"/category/:categoryId","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"ForumViewAllTopicsPage","type":"FORUM","urlPath":"/category/:categoryId/discussions/:boardId/all-topics/(/:after|/:before)?","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"TkbPostPage","type":"TKB","urlPath":"/category/:categoryId/kbs/:boardId/create","__typename":"PageDescriptor"},"__typename":"PageResource"},{"lastUpdatedTime":1744410422716,"localOverride":null,"page":{"id":"GroupHubPostPage","type":"GROUP_HUB","urlPath":"/group/:groupHubId/:boardId/create","__typename":"PageDescriptor"},"__typename":"PageResource"}],"localOverride":false},"CachedAsset:text:en_US-components/context/AppContext/AppContextProvider-0":{"__typename":"CachedAsset","id":"text:en_US-components/context/AppContext/AppContextProvider-0","value":{"noCommunity":"Cannot find community","noUser":"Cannot find current user","noNode":"Cannot find node with id {nodeId}","noMessage":"Cannot find message with id {messageId}"},"localOverride":false},"CachedAsset:text:en_US-shared/client/components/common/Loading/LoadingDot-0":{"__typename":"CachedAsset","id":"text:en_US-shared/client/components/common/Loading/LoadingDot-0","value":{"title":"Loading..."},"localOverride":false},"User:user:-1":{"__typename":"User","id":"user:-1","uid":-1,"login":"Deleted","email":"","avatar":null,"rank":null,"kudosWeight":1,"registrationData":{"__typename":"RegistrationData","status":"ANONYMOUS","registrationTime":null,"confirmEmailStatus":false,"registrationAccessLevel":"VIEW","ssoRegistrationFields":[]},"ssoId":null,"profileSettings":{"__typename":"ProfileSettings","dateDisplayStyle":{"__typename":"InheritableStringSettingWithPossibleValues","key":"layout.friendly_dates_enabled","value":"false","localValue":"true","possibleValues":["true","false"]},"dateDisplayFormat":{"__typename":"InheritableStringSetting","key":"layout.format_pattern_date","value":"MMM dd yyyy","localValue":"MM-dd-yyyy"},"language":{"__typename":"InheritableStringSettingWithPossibleValues","key":"profile.language","value":"en-US","localValue":"en","possibleValues":["en-US"]}},"deleted":false},"Theme:customTheme1":{"__typename":"Theme","id":"customTheme1"},"Category:category:IoT":{"__typename":"Category","id":"category:IoT","entityType":"CATEGORY","displayId":"IoT","nodeType":"category","depth":3,"title":"Internet of Things (IoT)","shortTitle":"Internet of Things (IoT)","parent":{"__ref":"Category:category:solutions"},"categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Category:category:top":{"__typename":"Category","id":"category:top","displayId":"top","nodeType":"category","depth":0,"title":"Top","entityType":"CATEGORY","shortTitle":"Top"},"Category:category:communities":{"__typename":"Category","id":"category:communities","displayId":"communities","nodeType":"category","depth":1,"parent":{"__ref":"Category:category:top"},"title":"Communities","entityType":"CATEGORY","shortTitle":"Communities"},"Category:category:solutions":{"__typename":"Category","id":"category:solutions","displayId":"solutions","nodeType":"category","depth":2,"parent":{"__ref":"Category:category:communities"},"title":"Topics","entityType":"CATEGORY","shortTitle":"Topics"},"Blog:board:IoTBlog":{"__typename":"Blog","id":"board:IoTBlog","entityType":"BLOG","displayId":"IoTBlog","nodeType":"board","depth":4,"conversationStyle":"BLOG","title":"Internet of Things Blog","description":"","avatar":null,"profileSettings":{"__typename":"ProfileSettings","language":null},"parent":{"__ref":"Category:category:IoT"},"ancestors":{"__typename":"CoreNodeConnection","edges":[{"__typename":"CoreNodeEdge","node":{"__ref":"Community:community:gxcuf89792"}},{"__typename":"CoreNodeEdge","node":{"__ref":"Category:category:communities"}},{"__typename":"CoreNodeEdge","node":{"__ref":"Category:category:solutions"}},{"__typename":"CoreNodeEdge","node":{"__ref":"Category:category:IoT"}}]},"userContext":{"__typename":"NodeUserContext","canAddAttachments":false,"canUpdateNode":false,"canPostMessages":false,"isSubscribed":false},"boardPolicies":{"__typename":"BoardPolicies","canPublishArticleOnCreate":{"__typename":"PolicyResult","failureReason":{"__typename":"FailureReason","message":"error.lithium.policies.forums.policy_can_publish_on_create_workflow_action.accessDenied","key":"error.lithium.policies.forums.policy_can_publish_on_create_workflow_action.accessDenied","args":[]}}},"shortTitle":"Internet of Things Blog","repliesProperties":{"__typename":"RepliesProperties","sortOrder":"REVERSE_PUBLISH_TIME","repliesFormat":"threaded"},"tagProperties":{"__typename":"TagNodeProperties","tagsEnabled":{"__typename":"PolicyResult","failureReason":null}},"requireTags":true,"tagType":"PRESET_ONLY"},"Rank:rank:36":{"__typename":"Rank","id":"rank:36","position":17,"name":"Brass Contributor","color":"333333","icon":null,"rankStyle":"TEXT"},"User:user:1103648":{"__typename":"User","id":"user:1103648","uid":1103648,"login":"KaushikRoy","deleted":false,"avatar":{"__typename":"UserAvatar","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/dS0xMTAzNjQ4LTI5NTk0Mmk5QjU5QjIyRjI5QjQwQTRC"},"rank":{"__ref":"Rank:rank:36"},"email":"","messagesCount":7,"biography":null,"topicsCount":4,"kudosReceivedCount":5,"kudosGivenCount":1,"kudosWeight":1,"registrationData":{"__typename":"RegistrationData","status":null,"registrationTime":"2021-07-14T12:16:23.914-07:00","confirmEmailStatus":null},"followersCount":null,"solutionsCount":0},"BlogTopicMessage:message:2576473":{"__typename":"BlogTopicMessage","uid":2576473,"subject":"Design an AI enabled NVR with AVA Edge and Intel OpenVino","id":"message:2576473","revisionNum":57,"repliesCount":0,"author":{"__ref":"User:user:1103648"},"depth":0,"hasGivenKudo":false,"board":{"__ref":"Blog:board:IoTBlog"},"conversation":{"__ref":"Conversation:conversation:2576473"},"messagePolicies":{"__typename":"MessagePolicies","canPublishArticleOnEdit":{"__typename":"PolicyResult","failureReason":{"__typename":"FailureReason","message":"error.lithium.policies.forums.policy_can_publish_on_edit_workflow_action.accessDenied","key":"error.lithium.policies.forums.policy_can_publish_on_edit_workflow_action.accessDenied","args":[]}},"canModerateSpamMessage":{"__typename":"PolicyResult","failureReason":{"__typename":"FailureReason","message":"error.lithium.policies.feature.moderation_spam.action.moderate_entity.allowed.accessDenied","key":"error.lithium.policies.feature.moderation_spam.action.moderate_entity.allowed.accessDenied","args":[]}}},"contentWorkflow":{"__typename":"ContentWorkflow","state":"PUBLISH","scheduledPublishTime":null,"scheduledTimezone":null,"userContext":{"__typename":"MessageWorkflowContext","canSubmitForReview":null,"canEdit":false,"canRecall":null,"canSubmitForPublication":null,"canReturnToAuthor":null,"canPublish":null,"canReturnToReview":null,"canSchedule":false},"shortScheduledTimezone":null},"readOnly":false,"editFrozen":false,"moderationData":{"__ref":"ModerationData:moderation_data:2576473"},"teaser":"
\n
\n
Use ONVIF camera with Linux IoT Edge to setup a ready-to-deploy bluefield video analytics platform
\n
\n
","body":"
This is the first in a series of articles which explore how to integrate Artificial Intelligence into a video processing infrastructure using off-the-market cameras and Intel OpenVino Model Server running at the edge. In the below sections we will learn some background trivia, hardware/software prerequisites for implementation, and steps to setup a production-ready AI enabled Network Video Recorder that has the best of both worlds - Microsoft and Intel.
\n
\n
What is a video analytics platform
\n
In the last few years, video analytics, also known as video content analysis or intelligent video analytics, has attracted increasing interest from both industry and the academic world. Video Analytics products add artificial intelligence to cameras by analyzing video content in real-time, extracting metadata, sending out alerts and providing actionable intelligence to security personnel or other systems. Video Analytics can be embedded at the edge (even in-camera), in servers on-premise, and/or on-cloud. They extract only temporal and spatialevents in a scene, filtering out noise such as lighting changes, weather, trees and animal movements. Here is a logical flow of how it works.
\n
\n
\n
Let’s face it: on-premises and legacy video surveillance infrastructure are still in the dark ages. Physical servers often have limited virtualization integration and support, as well as racks upon racks of servers that clog up performance regardless of whether the data center is using NVR, direct-attached storage, storage area network or hyper-converged infrastructure. It’s been that way for the last 10, if not 20, years. Buying and housing an NVR for five or six cameras is expensive and time-consuming from a management and maintenance point of view. With great improvements in connectivity, compression and data transfer methods, a cloud-native solution becomes an excellent option. Here are some of the popular use cases in this field and digram of a sample deployment for critical infrastructure.
\n
\n
\n\n
\n
\n
\n
\n
Motion Detection
\n
Intrusion Detection
\n
Line Crossing
\n
Object Abandoned
\n
License Plate Recognition
\n
Vehicle Detection
\n
Asset Management
\n
Face Detection
\n
Baby Monitoring
\n
Object Counting
\n
\n
\n
\n
\n
\n
\n
\n\n
\n
\n
Common approaches for proposals to clients involve either a new installation (greenfield project) or alift and shift scenario (brownfield project). Video intelligence is one industry where it becomes important to follow abluefieldapproach - meant to describe a combination of bothbrownfieldandgreenfield, where some streams of information are already in motion and some will be new instances of technology. The reason is that the existing hardware and software installations are very expensive and although they are open to new ideas, they want to keep what is already working. The current article is about setting up this new technology in a way so it accepts pipelines, for inference and event generation, on live video for the above use cases in future.
\n
\n
The rise of AI NVRs
\n
Video Intelligence was invented in 1942 by German engineer, Walter Bruch, so that he and others could observe the launch of V2 rockets on a private system. While its purpose has not drastically changed in the past 75 years, the system itself has undergone radical changes. Since its development, users’ expectations have evolved exponentially, necessitating the development of faster, better, and more cost-effective technology.
\n
\n
Initially, they could only watch through live streams as they happened— recordings would become available much later (VCR). Until the recent past these were analog devices using analog cameras and a Digital Video Recorder (DVR). Not unlike your everyday television box which used to run off these DVRs in every home! Recently, these have started getting replaced with Power Over Ethernet (PoE) enabled counterparts, running off Network Video Recorders (NVR). Here is a quick visual showing the difference between DVR and NVR.
\n
\n
\n
AI NVR Video Analytics System is a plug-and-play turnkey solution, including video search for object detection, high-accuracy intrusion detection, face search and face recognition, license plate and vehicle recognition, people/vehicle counting, and abnormal-activity detection. All functions support live stream and batch mode processing, real-time alerts and GDPR-friendly privacy protection when desired. AI NVR overcomes the challenges of many complex environments and is fully integrated with AI video analytics features for various markets, including perimeter protection of businesses, access controls for campuses and airports, traffic management by law enforcement, and business intelligence for shopping centers. Here is a logical flow of an AI NVR from video capture to data-driven applications.
\n
\n
\n
\n
In this article we are going to see how to create such an AI NVR at the edge using Azure Video Analyzer (AVA) and Intel products.
\n
\n
Azure Video Analyzer - a one-stop solution from Microsoft
\n
Azure Video Analyzer (AVA) is a brand new service to build intelligent video applications that span the edge and the cloud. It offers the capability to capture, record, and analyze live video along with publishing the results - video and/or video analytics. Video can be published to the edge or the Video Analyzer cloud service, while video analytics can be published to Azure services (in the cloud and/or the edge). With Video Analyzer, you can continue to use your existing video management systems (VMS) and build video analytics apps independently. AVA can be used in conjunction with computer vision SDKs and toolkits to build cutting edge IoT solutions. The diagram below illustrates this.
\n
\n
\n
This is the most essential component of creating the AI NVR. As you may have guessed, in this article we are going to deploy an AVA module on IoT edge to coordinate between the model server and the video feeds through an http extension. You can 'bring you own model' and call it through either http or grpc endpoint.
\n
\n
Intel OpenVINO toolkit
\n
OpenVINO (OpenVisual Inference and Neural network Optimization) is a toolkit provided by Intel to facilitate faster inference of deep learning models. It helps developers to create cost-effective and robust computer vision applications. It enables deep learning inference at the edge and supports heterogeneous execution across computer vision accelerators — CPU, GPU, Intel® Movidius™ Neural Compute Stick, and FPGA. It supports a large number of deep learning models out of the box.
\n
\n
\n
\n
OpenVino uses its own Intermediate Representation (IR) (link)(link) format similar to ONNX (link), and works with all your favourite deep learning tools like Tensorflow, Pytorch etc. You can either convert your resultant model to openvino or use/optimize the available pretained models in the Intel model zoo. In this article we are specifically using the OpenVino Model Server (OVMS) available through this Azure marketplace module, Out of the many models in their catalogue I am only using those that count faces, vehicles, and people. These are identified by their call signs - personDetection, faceDetection, and vehicleDetection.
\n
\n
Prerequisites
\n
There are some hardware and software prerequisites for creating this platform.
\n\n
ONVIF PoE camera able to send encoded RTSP streams (link)(link)
Working knowledge of Computer Vision & Model Serving
\n\n
\n
ONVIF PoE camera
\n
ONVIF (the Open Network Video Interface Forum) is a global and open industry forum with the goal of facilitating the development and use of a global open standard for the interface of physical IP-based security products. ONVIF creates a standard for how IP products within video surveillance and other physical security areas can communicate with each other. This is different from propreitary equipment, and you can use all open source libraries with them. A decent quality camera like Reolink 410 is enough. Technically you can use wireless camera but I would not recommend that in a professional setting.
\n
\n
Intel edge device with Ubuntu
\n
This can be any device with one or more Intel cpu. Intel NUC makes great low cost IoT edge device and even the cheap ones can handle around 10 cameras running at 30 fps. I am using a base model with Celeron processor priced at around 130$. The camera(s), device, and some cables are all you need to implement this. Optionally, like me, you may need a PoE switch or network extender to get connected. Check the wattage of the PoE to be at least 5 W, and bandwidth to be at least 20 mbpsper camera. You also need to install Ubuntu Linux.
\n
\n
Active Azure subscription
\n
Surely, you will need this one, but as we know Azure has this immense suit of products, and while ideally we want to have everything, it may not be practically feasible. For practical purposes you might have to ask for access to particular services, meaning you have to know ahead exactly which ones you want to use. We will need the following:
Generally this prerequisite takes a lot of engineering and is expensive. Thankfully the OVMS extension from Intel is capable of serving high quality models from their zoo, because without this you would have to do the whole flask/socket server thing and it wouldn't be half as good. Whatever models you need you can mention their call sign and it will be served instantly for you at the edge by the extension. We will see more about this in the next article once things are setup. Note: we are making the platform in such a way that you can use Azure CustomVision or Azure Machine Learning models on this same setup in future with very minimal changes.
\n
\n
Reference Architecture
\n
We are definitely living in interesting times when something as complex as video analytics is almost an OOTB feature!
\n
Here I present an alternate architecture that we followed, implemented, and got comparable results to the one above. This is a stripped down version of the official architecture, contains only the necessary components of a MVP for AI NVR, and is much easier to disect.
\n
Notice it looks somewhat simliar to the logical flow of an AI NVR shown in one of the prior sections.
\n
\n
Inbound feed to the AI NVR
\n
Before we go into the implementation I wanted to mention some aspects about the inputs and outputs of this system.
\n
\n
Earlier we said the system needs RTSP input, even though there are other forms of streaming protocols such as RTMP(link), HTTP etc. However, we choose RTSP mostly because its optimized for viewing experience and scalability.
\n
For development purpose it is recommended to use the excellent RTSP Simulator provided by Microsoft.
\n
To display the video being processed use any of the following players.
\n
You can technically use a usb webcam and create your own RTSP stream(link)(link), However, underneath it uses GStreamer,RTSPServer, and pipelines. From my experience you should be careful using this method, especially since you will need understanding of hardware/software media encoding (e.g. H.264) and GStreamer dockerization .
\n
One very interesting option that I used as a video source was the RTSP Camera Server app. This will instantly turn your smartphone camera into an RTSP feed that your AI NVR can consume !
\n
Last, but not the least you should make sure that your incoming feed has the required resolution that your CV algorithms need. The trick is not to use too good cameras. 4 to 5MP is fine for maintaining pixel distribution parity with available pretrained models.
\n
\n
\n
Outbound events from the AI NVR
\n
In Azure Video Analyzer, each inference object regardless of using HTTP-based contract or gRPC based contract follows the object model described below.
\n
\n
\n
The example below contains a single Inference event with vehicleDetection. We will see more of these in a future article.
Apart from the inference events there are many other type of events, such as the MediaSessionEstablished event, which happens when you are recording the media either in File Sink or Video Sink.
\n
\n
\n
\n
\n
[IoTHubMonitor] [9:42:18 AM] Message received from [avasampleiot-edge-device/avaedge]:\n{\n \"body\": {\n \"sdp\": \"SDP:\\nv=0\\r\\no=- 1586450538111534 1 IN IP4 XXX.XX.XX.XX\\r\\ns=Matroska video+audio+(optional)subtitles, streamed by the LIVE555 Media Server\\r\\ni=media/camera-300s.mkv\\r\\nt=0 0\\r\\na=tool:LIVE555 Streaming Media v2020.03.06\\r\\na=type:broadcast\\r\\na=control:*\\r\\na=range:npt=0-300.000\\r\\na=x-qt-text-nam:Matroska video+audio+(optional)subtitles, streamed by the LIVE555 Media Server\\r\\na=x-qt-text-inf:media/camera-300s.mkv\\r\\nm=video 0 RTP/AVP 96\\r\\nc=IN IP4 0.0.0.0\\r\\nb=AS:500\\r\\na=rtpmap:96 H264/90000\\r\\na=fmtp:96 packetization-mode=1;profile-level-id=4D0029;sprop-parameter-sets=XXXXXXXXXXXXXXXXXXXXXX\\r\\na=control:track1\\r\\n\"\n },\n \"applicationProperties\": {\n \"dataVersion\": \"1.0\",\n \"topic\": \"/subscriptions/{subscriptionID}/resourceGroups/{name}/providers/microsoft.media/videoanalyzers/{ava-account-name}\",\n \"subject\": \"/edgeModules/avaedge/livePipelines/Sample-Pipeline-1/sources/rtspSource\",\n \"eventType\": \"Microsoft.VideoAnalyzers.Diagnostics.MediaSessionEstablished\",\n \"eventTime\": \"2021-04-09T09:42:18.1280000Z\"\n }\n}
\n
\n
\n
\n
\n
The above points are mentioned so as to show how some of the expected outputs look like. After all that, lets see how exactly you can create a foundation for your AI NVR.
\n
\n
Implementation
\n
In this section we will see how we can use these tools to our benefit. For the Azure resources I may not go through the entire creation or installation process as there are quite a few articles on the internet for doing those. I shall only mention the main things to look out for. Here is an outline of the steps involved in the implementation.
Steps 1 and 2 are common steps in many use cases and can be done by following this. For 3 you need to make sure you are creating an 'IoT Edge' device and not a simple IoT device. Follow the link for 4 to create a managedidentity. For 5 use the interface to create an AVA account. Enter a name for your Video Analyzer account. The name must be all lowercase letters or numbers with no spaces, and 3 to 24 characters in length. Fill in the proper subscription, resource group, storage account, and identity from previous steps. You should now be having a running AVA account. Use these steps to create 'Edge Provisioninig Token' for step 6. Remember, this is just for AVA Edge, not to be confused with provisioning through DPS. For 7, ubuntu linux is good, the support for this in windows is a work in progress. After you create the account keep the following information on standby.
\n
\n
\n
\n
\n
AVA_PROVISIONING_TOKEN=\"<Provisioning token>\"\n
\n
\n
\n
\n
\n
Step 8, although simple, is an important step in the process. All you actually need to do is to run the below command.
However, underneath this there is a lot going on in preparation for the NVR. The Azure Video Analyzer module should be configured to run on the IoT Edge device with a non-privileged local user account. The module needs certain local folders for storing application configuration data. The RTSP camera simulator module needs video files with which it can synthesize a live video feed. The prep-device script in the above command automates the tasks of creating input and configuration folders, downloading video input files, and creating user accounts with correct privileges.
\n
\n
Steps 9,10, and 11 are for setting up your ONVIF camera(s). Things to note here are that you need to set static class C IP addresses for each camera, and set https protocol along with difficult-to-guess passwords. Again, take extra caution if you are doing this with wireless camera. I use VLC to confirm the live camera feed from each camera. You may think this is obvious or choose to automate this, but I have seen a lot of issues in either. I personally recommend clients to confirm feed/frame-rate from every camera manually using urls. VLC is my player of choice but you have many more choices.
\n
\n
Before you bring Azure into the picture, you must have all your RTSP urls ready and tested in setp 12. Here is an example rtsp url of the main feed. Notice the port number '554' and encoding 'h264'.
For 20 add the following module definitions in your deployment json. This will cover Azure AVA, Intel OVMS, and RTSP Simulator. Also follow this for more details.
21 to 23 are again the usual steps for all IoT solutions and once you deploy the template, you should have the following modules running as below.
\n
\n
\n
There, we have created the foundation for our Azure IoT Edge device to perform as a powerful AI NVR. Here 'avaedge' is the Azure Video Analyzer service, 'openvino' provides the model server extension, and 'rtspsim' creates the simulated 'live' input video feed. In the next article we will see how we can use this setup to detect faces or maybe cars and stuff.
\n
\n
Future Work
\n
\n
I hope you enjoyed this article on setting up an AI enabled NVR for video analyticsapplication. We love to share our experiences and get feedback from the community as to how we are doing. Look out for upcoming articles and have a great time with Microsoft Azure.
\n
To learn more about Microsoft apps and services, contact us atcontact@abersoft.caor 1-833-455-1850!
This is the first in a series of articles which explore how to integrate Artificial Intelligence into a video processing infrastructure using off-the-market cameras and Intel OpenVino Model Server running at the edge. In the below sections we will learn some background trivia, hardware/software prerequisites for implementation, and steps to setup a production-ready AI enabled Network Video Recorder that has the best of both worlds - Microsoft and Intel.
\n
\n
What is a video analytics platform
\n
In the last few years, video analytics, also known as video content analysis or intelligent video analytics, has attracted increasing interest from both industry and the academic world. Video Analytics products add artificial intelligence to cameras by analyzing video content in real-time, extracting metadata, sending out alerts and providing actionable intelligence to security personnel or other systems. Video Analytics can be embedded at the edge (even in-camera), in servers on-premise, and/or on-cloud. They extract only temporal and spatialevents in a scene, filtering out noise such as lighting changes, weather, trees and animal movements. Here is a logical flow of how it works.
\n
\n
\n
Let’s face it: on-premises and legacy video surveillance infrastructure are still in the dark ages. Physical servers often have limited virtualization integration and support, as well as racks upon racks of servers that clog up performance regardless of whether the data center is using NVR, direct-attached storage, storage area network or hyper-converged infrastructure. It’s been that way for the last 10, if not 20, years. Buying and housing an NVR for five or six cameras is expensive and time-consuming from a management and maintenance point of view. With great improvements in connectivity, compression and data transfer methods, a cloud-native solution becomes an excellent option. Here are some of the popular use cases in this field and digram of a sample deployment for critical infrastructure.
\n
\n
\n\n
\n
\n
\n
\n
Motion Detection
\n
Intrusion Detection
\n
Line Crossing
\n
Object Abandoned
\n
License Plate Recognition
\n
Vehicle Detection
\n
Asset Management
\n
Face Detection
\n
Baby Monitoring
\n
Object Counting
\n
\n
\n
\n
\n
\n
\n
\n\n
\n
\n
Common approaches for proposals to clients involve either a new installation (greenfield project) or alift and shift scenario (brownfield project). Video intelligence is one industry where it becomes important to follow abluefieldapproach - meant to describe a combination of bothbrownfieldandgreenfield, where some streams of information are already in motion and some will be new instances of technology. The reason is that the existing hardware and software installations are very expensive and although they are open to new ideas, they want to keep what is already working. The current article is about setting up this new technology in a way so it accepts pipelines, for inference and event generation, on live video for the above use cases in future.
\n
\n
The rise of AI NVRs
\n
Video Intelligence was invented in 1942 by German engineer, Walter Bruch, so that he and others could observe the launch of V2 rockets on a private system. While its purpose has not drastically changed in the past 75 years, the system itself has undergone radical changes. Since its development, users’ expectations have evolved exponentially, necessitating the development of faster, better, and more cost-effective technology.
\n
\n
Initially, they could only watch through live streams as they happened— recordings would become available much later (VCR). Until the recent past these were analog devices using analog cameras and a Digital Video Recorder (DVR). Not unlike your everyday television box which used to run off these DVRs in every home! Recently, these have started getting replaced with Power Over Ethernet (PoE) enabled counterparts, running off Network Video Recorders (NVR). Here is a quick visual showing the difference between DVR and NVR.
\n
\n
\n
AI NVR Video Analytics System is a plug-and-play turnkey solution, including video search for object detection, high-accuracy intrusion detection, face search and face recognition, license plate and vehicle recognition, people/vehicle counting, and abnormal-activity detection. All functions support live stream and batch mode processing, real-time alerts and GDPR-friendly privacy protection when desired. AI NVR overcomes the challenges of many complex environments and is fully integrated with AI video analytics features for various markets, including perimeter protection of businesses, access controls for campuses and airports, traffic management by law enforcement, and business intelligence for shopping centers. Here is a logical flow of an AI NVR from video capture to data-driven applications.
\n
\n
\n
\n
In this article we are going to see how to create such an AI NVR at the edge using Azure Video Analyzer (AVA) and Intel products.
\n
\n
Azure Video Analyzer - a one-stop solution from Microsoft
\n
Azure Video Analyzer (AVA) is a brand new service to build intelligent video applications that span the edge and the cloud. It offers the capability to capture, record, and analyze live video along with publishing the results - video and/or video analytics. Video can be published to the edge or the Video Analyzer cloud service, while video analytics can be published to Azure services (in the cloud and/or the edge). With Video Analyzer, you can continue to use your existing video management systems (VMS) and build video analytics apps independently. AVA can be used in conjunction with computer vision SDKs and toolkits to build cutting edge IoT solutions. The diagram below illustrates this.
\n
\n
\n
This is the most essential component of creating the AI NVR. As you may have guessed, in this article we are going to deploy an AVA module on IoT edge to coordinate between the model server and the video feeds through an http extension. You can 'bring you own model' and call it through either http or grpc endpoint.
\n
\n
Intel OpenVINO toolkit
\n
OpenVINO (OpenVisual Inference and Neural network Optimization) is a toolkit provided by Intel to facilitate faster inference of deep learning models. It helps developers to create cost-effective and robust computer vision applications. It enables deep learning inference at the edge and supports heterogeneous execution across computer vision accelerators — CPU, GPU, Intel® Movidius™ Neural Compute Stick, and FPGA. It supports a large number of deep learning models out of the box.
\n
\n
\n
\n
OpenVino uses its own Intermediate Representation (IR) (link)(link) format similar to ONNX (link), and works with all your favourite deep learning tools like Tensorflow, Pytorch etc. You can either convert your resultant model to openvino or use/optimize the available pretained models in the Intel model zoo. In this article we are specifically using the OpenVino Model Server (OVMS) available through this Azure marketplace module, Out of the many models in their catalogue I am only using those that count faces, vehicles, and people. These are identified by their call signs - personDetection, faceDetection, and vehicleDetection.
\n
\n
Prerequisites
\n
There are some hardware and software prerequisites for creating this platform.
\n\n
ONVIF PoE camera able to send encoded RTSP streams (link)(link)
Working knowledge of Computer Vision & Model Serving
\n\n
\n
ONVIF PoE camera
\n
ONVIF (the Open Network Video Interface Forum) is a global and open industry forum with the goal of facilitating the development and use of a global open standard for the interface of physical IP-based security products. ONVIF creates a standard for how IP products within video surveillance and other physical security areas can communicate with each other. This is different from propreitary equipment, and you can use all open source libraries with them. A decent quality camera like Reolink 410 is enough. Technically you can use wireless camera but I would not recommend that in a professional setting.
\n
\n
Intel edge device with Ubuntu
\n
This can be any device with one or more Intel cpu. Intel NUC makes great low cost IoT edge device and even the cheap ones can handle around 10 cameras running at 30 fps. I am using a base model with Celeron processor priced at around 130$. The camera(s), device, and some cables are all you need to implement this. Optionally, like me, you may need a PoE switch or network extender to get connected. Check the wattage of the PoE to be at least 5 W, and bandwidth to be at least 20 mbpsper camera. You also need to install Ubuntu Linux.
\n
\n
Active Azure subscription
\n
Surely, you will need this one, but as we know Azure has this immense suit of products, and while ideally we want to have everything, it may not be practically feasible. For practical purposes you might have to ask for access to particular services, meaning you have to know ahead exactly which ones you want to use. We will need the following:
Generally this prerequisite takes a lot of engineering and is expensive. Thankfully the OVMS extension from Intel is capable of serving high quality models from their zoo, because without this you would have to do the whole flask/socket server thing and it wouldn't be half as good. Whatever models you need you can mention their call sign and it will be served instantly for you at the edge by the extension. We will see more about this in the next article once things are setup. Note: we are making the platform in such a way that you can use Azure CustomVision or Azure Machine Learning models on this same setup in future with very minimal changes.
\n
\n
Reference Architecture
\n
We are definitely living in interesting times when something as complex as video analytics is almost an OOTB feature!
\n
Here I present an alternate architecture that we followed, implemented, and got comparable results to the one above. This is a stripped down version of the official architecture, contains only the necessary components of a MVP for AI NVR, and is much easier to disect.
\n
Notice it looks somewhat simliar to the logical flow of an AI NVR shown in one of the prior sections.
\n
\n
Inbound feed to the AI NVR
\n
Before we go into the implementation I wanted to mention some aspects about the inputs and outputs of this system.
\n
\n
Earlier we said the system needs RTSP input, even though there are other forms of streaming protocols such as RTMP(link), HTTP etc. However, we choose RTSP mostly because its optimized for viewing experience and scalability.
\n
For development purpose it is recommended to use the excellent RTSP Simulator provided by Microsoft.
\n
To display the video being processed use any of the following players.
\n
You can technically use a usb webcam and create your own RTSP stream(link)(link), However, underneath it uses GStreamer,RTSPServer, and pipelines. From my experience you should be careful using this method, especially since you will need understanding of hardware/software media encoding (e.g. H.264) and GStreamer dockerization .
\n
One very interesting option that I used as a video source was the RTSP Camera Server app. This will instantly turn your smartphone camera into an RTSP feed that your AI NVR can consume !
\n
Last, but not the least you should make sure that your incoming feed has the required resolution that your CV algorithms need. The trick is not to use too good cameras. 4 to 5MP is fine for maintaining pixel distribution parity with available pretrained models.
\n
\n
\n
Outbound events from the AI NVR
\n
In Azure Video Analyzer, each inference object regardless of using HTTP-based contract or gRPC based contract follows the object model described below.
\n
\n
\n
The example below contains a single Inference event with vehicleDetection. We will see more of these in a future article.
Apart from the inference events there are many other type of events, such as the MediaSessionEstablished event, which happens when you are recording the media either in File Sink or Video Sink.
\n
\n
\n
\n
\n[IoTHubMonitor] [9:42:18 AM] Message received from [avasampleiot-edge-device/avaedge]:\n{\n \"body\": {\n \"sdp\": \"SDP:\\nv=0\\r\\no=- 1586450538111534 1 IN IP4 XXX.XX.XX.XX\\r\\ns=Matroska video+audio+(optional)subtitles, streamed by the LIVE555 Media Server\\r\\ni=media/camera-300s.mkv\\r\\nt=0 0\\r\\na=tool:LIVE555 Streaming Media v2020.03.06\\r\\na=type:broadcast\\r\\na=control:*\\r\\na=range:npt=0-300.000\\r\\na=x-qt-text-nam:Matroska video+audio+(optional)subtitles, streamed by the LIVE555 Media Server\\r\\na=x-qt-text-inf:media/camera-300s.mkv\\r\\nm=video 0 RTP/AVP 96\\r\\nc=IN IP4 0.0.0.0\\r\\nb=AS:500\\r\\na=rtpmap:96 H264/90000\\r\\na=fmtp:96 packetization-mode=1;profile-level-id=4D0029;sprop-parameter-sets=XXXXXXXXXXXXXXXXXXXXXX\\r\\na=control:track1\\r\\n\"\n },\n \"applicationProperties\": {\n \"dataVersion\": \"1.0\",\n \"topic\": \"/subscriptions/{subscriptionID}/resourceGroups/{name}/providers/microsoft.media/videoanalyzers/{ava-account-name}\",\n \"subject\": \"/edgeModules/avaedge/livePipelines/Sample-Pipeline-1/sources/rtspSource\",\n \"eventType\": \"Microsoft.VideoAnalyzers.Diagnostics.MediaSessionEstablished\",\n \"eventTime\": \"2021-04-09T09:42:18.1280000Z\"\n }\n}\n
\n
\n
\n
\n
The above points are mentioned so as to show how some of the expected outputs look like. After all that, lets see how exactly you can create a foundation for your AI NVR.
\n
\n
Implementation
\n
In this section we will see how we can use these tools to our benefit. For the Azure resources I may not go through the entire creation or installation process as there are quite a few articles on the internet for doing those. I shall only mention the main things to look out for. Here is an outline of the steps involved in the implementation.
Steps 1 and 2 are common steps in many use cases and can be done by following this. For 3 you need to make sure you are creating an 'IoT Edge' device and not a simple IoT device. Follow the link for 4 to create a managedidentity. For 5 use the interface to create an AVA account. Enter a name for your Video Analyzer account. The name must be all lowercase letters or numbers with no spaces, and 3 to 24 characters in length. Fill in the proper subscription, resource group, storage account, and identity from previous steps. You should now be having a running AVA account. Use these steps to create 'Edge Provisioninig Token' for step 6. Remember, this is just for AVA Edge, not to be confused with provisioning through DPS. For 7, ubuntu linux is good, the support for this in windows is a work in progress. After you create the account keep the following information on standby.
However, underneath this there is a lot going on in preparation for the NVR. The Azure Video Analyzer module should be configured to run on the IoT Edge device with a non-privileged local user account. The module needs certain local folders for storing application configuration data. The RTSP camera simulator module needs video files with which it can synthesize a live video feed. The prep-device script in the above command automates the tasks of creating input and configuration folders, downloading video input files, and creating user accounts with correct privileges.
\n
\n
Steps 9,10, and 11 are for setting up your ONVIF camera(s). Things to note here are that you need to set static class C IP addresses for each camera, and set https protocol along with difficult-to-guess passwords. Again, take extra caution if you are doing this with wireless camera. I use VLC to confirm the live camera feed from each camera. You may think this is obvious or choose to automate this, but I have seen a lot of issues in either. I personally recommend clients to confirm feed/frame-rate from every camera manually using urls. VLC is my player of choice but you have many more choices.
\n
\n
Before you bring Azure into the picture, you must have all your RTSP urls ready and tested in setp 12. Here is an example rtsp url of the main feed. Notice the port number '554' and encoding 'h264'.
For 20 add the following module definitions in your deployment json. This will cover Azure AVA, Intel OVMS, and RTSP Simulator. Also follow this for more details.
21 to 23 are again the usual steps for all IoT solutions and once you deploy the template, you should have the following modules running as below.
\n
\n
\n
There, we have created the foundation for our Azure IoT Edge device to perform as a powerful AI NVR. Here 'avaedge' is the Azure Video Analyzer service, 'openvino' provides the model server extension, and 'rtspsim' creates the simulated 'live' input video feed. In the next article we will see how we can use this setup to detect faces or maybe cars and stuff.
\n
\n
Future Work
\n
\n
I hope you enjoyed this article on setting up an AI enabled NVR for video analyticsapplication. We love to share our experiences and get feedback from the community as to how we are doing. Look out for upcoming articles and have a great time with Microsoft Azure.
\n
To learn more about Microsoft apps and services, contact us atcontact@abersoft.caor 1-833-455-1850!
","kudosSumWeight":2,"postTime":"2021-08-24T08:21:04.335-07:00","images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5NzcwMWlCN0EwM0I3RUVDNkYyRUJF?revision=57\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDI","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5ODA3M2kyMzZCMzY4MkNGQzY3MDYx?revision=57\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDM","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5ODA3OWlEQzY2ODkxRUNGNDIyOTQ5?revision=57\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDQ","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5ODE5N2lCQzQ2NTlEOTdDODRDOUFF?revision=57\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDU","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5ODI5N2kzRkE0RTNFQjUzQURGQTRE?revision=57\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDY","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5ODMwNGkyRkRCNEUxQzU1RDc0OEUx?revision=57\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDc","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5ODUwMmlCQTI5QUUwMENGQ0U5QTBE?revision=57\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDg","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5ODUwM2lCMTdFM0UyRjkwNTNEMkEw?revision=57\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDk","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5ODc3MGk2MzI0MzNDRDMyNTNGQ0Mx?revision=57\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDEw","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTMwNDgzMmk5MTQ5MDQ4MDNGODRERDA3?revision=57\"}"}}],"totalCount":10,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"attachments":{"__typename":"AttachmentConnection","pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null},"edges":[]},"tags":{"__typename":"TagConnection","pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null},"edges":[{"__typename":"TagEdge","cursor":"MjUuMXwyLjF8b3wxMHxfTlZffDE","node":{"__typename":"Tag","id":"tag:azure iot edge","text":"azure iot edge","time":"2017-08-22T12:40:32.551-07:00","lastActivityTime":null,"messagesCount":null,"followersCount":null}},{"__typename":"TagEdge","cursor":"MjUuMXwyLjF8b3wxMHxfTlZffDI","node":{"__typename":"Tag","id":"tag:Azure Video Analyzer","text":"Azure Video Analyzer","time":"2021-07-29T08:00:00.049-07:00","lastActivityTime":null,"messagesCount":null,"followersCount":null}},{"__typename":"TagEdge","cursor":"MjUuMXwyLjF8b3wxMHxfTlZffDM","node":{"__typename":"Tag","id":"tag:iot","text":"iot","time":"2017-11-03T01:39:24.249-07:00","lastActivityTime":null,"messagesCount":null,"followersCount":null}}]},"timeToRead":14,"rawTeaser":"
\n
\n
Use ONVIF camera with Linux IoT Edge to setup a ready-to-deploy bluefield video analytics platform
\n
\n
","introduction":"","coverImage":null,"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""},"currentRevision":{"__ref":"Revision:revision:2576473_57"},"latestVersion":{"__typename":"FriendlyVersion","major":"5","minor":"0"},"metrics":{"__typename":"MessageMetrics","views":9007},"visibilityScope":"PUBLIC","canonicalUrl":null,"seoTitle":null,"seoDescription":null,"placeholder":false,"originalMessageForPlaceholder":null,"contributors":{"__typename":"UserConnection","edges":[]},"nonCoAuthorContributors":{"__typename":"UserConnection","edges":[]},"coAuthors":{"__typename":"UserConnection","edges":[]},"blogMessagePolicies":{"__typename":"BlogMessagePolicies","canDoAuthoringActionsOnBlog":{"__typename":"PolicyResult","failureReason":{"__typename":"FailureReason","message":"error.lithium.policies.blog.action_can_do_authoring_action.accessDenied","key":"error.lithium.policies.blog.action_can_do_authoring_action.accessDenied","args":[]}}},"archivalData":null,"replies":{"__typename":"MessageConnection","edges":[],"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"customFields":[],"revisions({\"constraints\":{\"isPublished\":{\"eq\":true}},\"first\":1})":{"__typename":"RevisionConnection","totalCount":57}},"Conversation:conversation:2576473":{"__typename":"Conversation","id":"conversation:2576473","solved":false,"topic":{"__ref":"BlogTopicMessage:message:2576473"},"lastPostingActivityTime":"2021-09-13T08:01:25.328-07:00","lastPostTime":"2021-08-24T08:21:04.335-07:00","unreadReplyCount":0,"isSubscribed":false},"ModerationData:moderation_data:2576473":{"__typename":"ModerationData","id":"moderation_data:2576473","status":"APPROVED","rejectReason":null,"isReportedAbuse":false,"rejectUser":null,"rejectTime":null,"rejectActorType":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5NzcwMWlCN0EwM0I3RUVDNkYyRUJF?revision=57\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5NzcwMWlCN0EwM0I3RUVDNkYyRUJF?revision=57","title":"ss.png","associationType":"TEASER","width":369,"height":197,"altText":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5ODA3M2kyMzZCMzY4MkNGQzY3MDYx?revision=57\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5ODA3M2kyMzZCMzY4MkNGQzY3MDYx?revision=57","title":"KaushikRoy_0-1627062515741.png","associationType":"BODY","width":685,"height":334,"altText":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5ODA3OWlEQzY2ODkxRUNGNDIyOTQ5?revision=57\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5ODA3OWlEQzY2ODkxRUNGNDIyOTQ5?revision=57","title":"KaushikRoy_0-1627063795302.jpeg","associationType":"BODY","width":1354,"height":1078,"altText":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5ODE5N2lCQzQ2NTlEOTdDODRDOUFF?revision=57\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5ODE5N2lCQzQ2NTlEOTdDODRDOUFF?revision=57","title":"dvr-vs-nvr.jpeg","associationType":"BODY","width":423,"height":640,"altText":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5ODI5N2kzRkE0RTNFQjUzQURGQTRE?revision=57\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5ODI5N2kzRkE0RTNFQjUzQURGQTRE?revision=57","title":"crop1.jpg","associationType":"BODY","width":949,"height":228,"altText":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5ODMwNGkyRkRCNEUxQzU1RDc0OEUx?revision=57\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5ODMwNGkyRkRCNEUxQzU1RDc0OEUx?revision=57","title":"KaushikRoy_0-1627265834078.png","associationType":"BODY","width":953,"height":451,"altText":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5ODUwMmlCQTI5QUUwMENGQ0U5QTBE?revision=57\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5ODUwMmlCQTI5QUUwMENGQ0U5QTBE?revision=57","title":"avaopen.jpeg","associationType":"BODY","width":1280,"height":720,"altText":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5ODUwM2lCMTdFM0UyRjkwNTNEMkEw?revision=57\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5ODUwM2lCMTdFM0UyRjkwNTNEMkEw?revision=57","title":"aarch.png","associationType":"BODY","width":877,"height":307,"altText":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5ODc3MGk2MzI0MzNDRDMyNTNGQ0Mx?revision=57\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTI5ODc3MGk2MzI0MzNDRDMyNTNGQ0Mx?revision=57","title":"object-model.png","associationType":"BODY","width":727,"height":516,"altText":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTMwNDgzMmk5MTQ5MDQ4MDNGODRERDA3?revision=57\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0yNTc2NDczLTMwNDgzMmk5MTQ5MDQ4MDNGODRERDA3?revision=57","title":"WhatsApp Image 2021-08-20 at 10.20.07 PM.jpeg","associationType":"BODY","width":1279,"height":876,"altText":null},"Revision:revision:2576473_57":{"__typename":"Revision","id":"revision:2576473_57","lastEditTime":"2021-08-31T13:59:11.367-07:00"},"CachedAsset:theme:customTheme1-1744410422197":{"__typename":"CachedAsset","id":"theme:customTheme1-1744410422197","value":{"id":"customTheme1","animation":{"fast":"150ms","normal":"250ms","slow":"500ms","slowest":"750ms","function":"cubic-bezier(0.07, 0.91, 0.51, 1)","__typename":"AnimationThemeSettings"},"avatar":{"borderRadius":"50%","collections":["default"],"__typename":"AvatarThemeSettings"},"basics":{"browserIcon":{"imageAssetName":"favicon-1730836283320.png","imageLastModified":"1730836286415","__typename":"ThemeAsset"},"customerLogo":{"imageAssetName":"favicon-1730836271365.png","imageLastModified":"1730836274203","__typename":"ThemeAsset"},"maximumWidthOfPageContent":"1300px","oneColumnNarrowWidth":"800px","gridGutterWidthMd":"30px","gridGutterWidthXs":"10px","pageWidthStyle":"WIDTH_OF_BROWSER","__typename":"BasicsThemeSettings"},"buttons":{"borderRadiusSm":"3px","borderRadius":"3px","borderRadiusLg":"5px","paddingY":"5px","paddingYLg":"7px","paddingYHero":"var(--lia-bs-btn-padding-y-lg)","paddingX":"12px","paddingXLg":"16px","paddingXHero":"60px","fontStyle":"NORMAL","fontWeight":"700","textTransform":"NONE","disabledOpacity":0.5,"primaryTextColor":"var(--lia-bs-white)","primaryTextHoverColor":"var(--lia-bs-white)","primaryTextActiveColor":"var(--lia-bs-white)","primaryBgColor":"var(--lia-bs-primary)","primaryBgHoverColor":"hsl(var(--lia-bs-primary-h), var(--lia-bs-primary-s), calc(var(--lia-bs-primary-l) * 0.85))","primaryBgActiveColor":"hsl(var(--lia-bs-primary-h), var(--lia-bs-primary-s), calc(var(--lia-bs-primary-l) * 0.7))","primaryBorder":"1px solid transparent","primaryBorderHover":"1px solid transparent","primaryBorderActive":"1px solid transparent","primaryBorderFocus":"1px solid var(--lia-bs-white)","primaryBoxShadowFocus":"0 0 0 1px var(--lia-bs-primary), 0 0 0 4px hsla(var(--lia-bs-primary-h), var(--lia-bs-primary-s), var(--lia-bs-primary-l), 0.2)","secondaryTextColor":"var(--lia-bs-gray-900)","secondaryTextHoverColor":"hsl(var(--lia-bs-gray-900-h), var(--lia-bs-gray-900-s), calc(var(--lia-bs-gray-900-l) * 0.95))","secondaryTextActiveColor":"hsl(var(--lia-bs-gray-900-h), var(--lia-bs-gray-900-s), calc(var(--lia-bs-gray-900-l) * 0.9))","secondaryBgColor":"var(--lia-bs-gray-200)","secondaryBgHoverColor":"hsl(var(--lia-bs-gray-200-h), var(--lia-bs-gray-200-s), calc(var(--lia-bs-gray-200-l) * 0.96))","secondaryBgActiveColor":"hsl(var(--lia-bs-gray-200-h), var(--lia-bs-gray-200-s), calc(var(--lia-bs-gray-200-l) * 0.92))","secondaryBorder":"1px solid transparent","secondaryBorderHover":"1px solid transparent","secondaryBorderActive":"1px solid transparent","secondaryBorderFocus":"1px solid transparent","secondaryBoxShadowFocus":"0 0 0 1px var(--lia-bs-primary), 0 0 0 4px hsla(var(--lia-bs-primary-h), var(--lia-bs-primary-s), var(--lia-bs-primary-l), 0.2)","tertiaryTextColor":"var(--lia-bs-gray-900)","tertiaryTextHoverColor":"hsl(var(--lia-bs-gray-900-h), var(--lia-bs-gray-900-s), calc(var(--lia-bs-gray-900-l) * 0.95))","tertiaryTextActiveColor":"hsl(var(--lia-bs-gray-900-h), var(--lia-bs-gray-900-s), calc(var(--lia-bs-gray-900-l) * 0.9))","tertiaryBgColor":"transparent","tertiaryBgHoverColor":"transparent","tertiaryBgActiveColor":"hsla(var(--lia-bs-black-h), var(--lia-bs-black-s), var(--lia-bs-black-l), 0.04)","tertiaryBorder":"1px solid transparent","tertiaryBorderHover":"1px solid hsla(var(--lia-bs-black-h), var(--lia-bs-black-s), var(--lia-bs-black-l), 0.08)","tertiaryBorderActive":"1px solid transparent","tertiaryBorderFocus":"1px solid transparent","tertiaryBoxShadowFocus":"0 0 0 1px var(--lia-bs-primary), 0 0 0 4px hsla(var(--lia-bs-primary-h), var(--lia-bs-primary-s), var(--lia-bs-primary-l), 0.2)","destructiveTextColor":"var(--lia-bs-danger)","destructiveTextHoverColor":"hsl(var(--lia-bs-danger-h), var(--lia-bs-danger-s), calc(var(--lia-bs-danger-l) * 0.95))","destructiveTextActiveColor":"hsl(var(--lia-bs-danger-h), var(--lia-bs-danger-s), calc(var(--lia-bs-danger-l) * 0.9))","destructiveBgColor":"var(--lia-bs-gray-200)","destructiveBgHoverColor":"hsl(var(--lia-bs-gray-200-h), var(--lia-bs-gray-200-s), calc(var(--lia-bs-gray-200-l) * 0.96))","destructiveBgActiveColor":"hsl(var(--lia-bs-gray-200-h), var(--lia-bs-gray-200-s), calc(var(--lia-bs-gray-200-l) * 0.92))","destructiveBorder":"1px solid transparent","destructiveBorderHover":"1px solid transparent","destructiveBorderActive":"1px solid transparent","destructiveBorderFocus":"1px solid transparent","destructiveBoxShadowFocus":"0 0 0 1px var(--lia-bs-primary), 0 0 0 4px hsla(var(--lia-bs-primary-h), var(--lia-bs-primary-s), var(--lia-bs-primary-l), 0.2)","__typename":"ButtonsThemeSettings"},"border":{"color":"hsla(var(--lia-bs-black-h), var(--lia-bs-black-s), var(--lia-bs-black-l), 0.08)","mainContent":"NONE","sideContent":"LIGHT","radiusSm":"3px","radius":"5px","radiusLg":"9px","radius50":"100vw","__typename":"BorderThemeSettings"},"boxShadow":{"xs":"0 0 0 1px hsla(var(--lia-bs-gray-900-h), var(--lia-bs-gray-900-s), var(--lia-bs-gray-900-l), 0.08), 0 3px 0 -1px hsla(var(--lia-bs-gray-900-h), var(--lia-bs-gray-900-s), var(--lia-bs-gray-900-l), 0.16)","sm":"0 2px 4px hsla(var(--lia-bs-gray-900-h), var(--lia-bs-gray-900-s), var(--lia-bs-gray-900-l), 0.12)","md":"0 5px 15px hsla(var(--lia-bs-gray-900-h), var(--lia-bs-gray-900-s), var(--lia-bs-gray-900-l), 0.3)","lg":"0 10px 30px hsla(var(--lia-bs-gray-900-h), var(--lia-bs-gray-900-s), var(--lia-bs-gray-900-l), 0.3)","__typename":"BoxShadowThemeSettings"},"cards":{"bgColor":"var(--lia-panel-bg-color)","borderRadius":"var(--lia-panel-border-radius)","boxShadow":"var(--lia-box-shadow-xs)","__typename":"CardsThemeSettings"},"chip":{"maxWidth":"300px","height":"30px","__typename":"ChipThemeSettings"},"coreTypes":{"defaultMessageLinkColor":"var(--lia-bs-link-color)","defaultMessageLinkDecoration":"none","defaultMessageLinkFontStyle":"NORMAL","defaultMessageLinkFontWeight":"400","defaultMessageFontStyle":"NORMAL","defaultMessageFontWeight":"400","forumColor":"#4099E2","forumFontFamily":"var(--lia-bs-font-family-base)","forumFontWeight":"var(--lia-default-message-font-weight)","forumLineHeight":"var(--lia-bs-line-height-base)","forumFontStyle":"var(--lia-default-message-font-style)","forumMessageLinkColor":"var(--lia-default-message-link-color)","forumMessageLinkDecoration":"var(--lia-default-message-link-decoration)","forumMessageLinkFontStyle":"var(--lia-default-message-link-font-style)","forumMessageLinkFontWeight":"var(--lia-default-message-link-font-weight)","forumSolvedColor":"#148563","blogColor":"#1CBAA0","blogFontFamily":"var(--lia-bs-font-family-base)","blogFontWeight":"var(--lia-default-message-font-weight)","blogLineHeight":"1.75","blogFontStyle":"var(--lia-default-message-font-style)","blogMessageLinkColor":"var(--lia-default-message-link-color)","blogMessageLinkDecoration":"var(--lia-default-message-link-decoration)","blogMessageLinkFontStyle":"var(--lia-default-message-link-font-style)","blogMessageLinkFontWeight":"var(--lia-default-message-link-font-weight)","tkbColor":"#4C6B90","tkbFontFamily":"var(--lia-bs-font-family-base)","tkbFontWeight":"var(--lia-default-message-font-weight)","tkbLineHeight":"1.75","tkbFontStyle":"var(--lia-default-message-font-style)","tkbMessageLinkColor":"var(--lia-default-message-link-color)","tkbMessageLinkDecoration":"var(--lia-default-message-link-decoration)","tkbMessageLinkFontStyle":"var(--lia-default-message-link-font-style)","tkbMessageLinkFontWeight":"var(--lia-default-message-link-font-weight)","qandaColor":"#4099E2","qandaFontFamily":"var(--lia-bs-font-family-base)","qandaFontWeight":"var(--lia-default-message-font-weight)","qandaLineHeight":"var(--lia-bs-line-height-base)","qandaFontStyle":"var(--lia-default-message-link-font-style)","qandaMessageLinkColor":"var(--lia-default-message-link-color)","qandaMessageLinkDecoration":"var(--lia-default-message-link-decoration)","qandaMessageLinkFontStyle":"var(--lia-default-message-link-font-style)","qandaMessageLinkFontWeight":"var(--lia-default-message-link-font-weight)","qandaSolvedColor":"#3FA023","ideaColor":"#FF8000","ideaFontFamily":"var(--lia-bs-font-family-base)","ideaFontWeight":"var(--lia-default-message-font-weight)","ideaLineHeight":"var(--lia-bs-line-height-base)","ideaFontStyle":"var(--lia-default-message-font-style)","ideaMessageLinkColor":"var(--lia-default-message-link-color)","ideaMessageLinkDecoration":"var(--lia-default-message-link-decoration)","ideaMessageLinkFontStyle":"var(--lia-default-message-link-font-style)","ideaMessageLinkFontWeight":"var(--lia-default-message-link-font-weight)","contestColor":"#FCC845","contestFontFamily":"var(--lia-bs-font-family-base)","contestFontWeight":"var(--lia-default-message-font-weight)","contestLineHeight":"var(--lia-bs-line-height-base)","contestFontStyle":"var(--lia-default-message-link-font-style)","contestMessageLinkColor":"var(--lia-default-message-link-color)","contestMessageLinkDecoration":"var(--lia-default-message-link-decoration)","contestMessageLinkFontStyle":"ITALIC","contestMessageLinkFontWeight":"var(--lia-default-message-link-font-weight)","occasionColor":"#D13A1F","occasionFontFamily":"var(--lia-bs-font-family-base)","occasionFontWeight":"var(--lia-default-message-font-weight)","occasionLineHeight":"var(--lia-bs-line-height-base)","occasionFontStyle":"var(--lia-default-message-font-style)","occasionMessageLinkColor":"var(--lia-default-message-link-color)","occasionMessageLinkDecoration":"var(--lia-default-message-link-decoration)","occasionMessageLinkFontStyle":"var(--lia-default-message-link-font-style)","occasionMessageLinkFontWeight":"var(--lia-default-message-link-font-weight)","grouphubColor":"#333333","categoryColor":"#949494","communityColor":"#FFFFFF","productColor":"#949494","__typename":"CoreTypesThemeSettings"},"colors":{"black":"#000000","white":"#FFFFFF","gray100":"#F7F7F7","gray200":"#F7F7F7","gray300":"#E8E8E8","gray400":"#D9D9D9","gray500":"#CCCCCC","gray600":"#717171","gray700":"#707070","gray800":"#545454","gray900":"#333333","dark":"#545454","light":"#F7F7F7","primary":"#0069D4","secondary":"#333333","bodyText":"#1E1E1E","bodyBg":"#FFFFFF","info":"#409AE2","success":"#41C5AE","warning":"#FCC844","danger":"#BC341B","alertSystem":"#FF6600","textMuted":"#707070","highlight":"#FFFCAD","outline":"var(--lia-bs-primary)","custom":["#D3F5A4","#243A5E"],"__typename":"ColorsThemeSettings"},"divider":{"size":"3px","marginLeft":"4px","marginRight":"4px","borderRadius":"50%","bgColor":"var(--lia-bs-gray-600)","bgColorActive":"var(--lia-bs-gray-600)","__typename":"DividerThemeSettings"},"dropdown":{"fontSize":"var(--lia-bs-font-size-sm)","borderColor":"var(--lia-bs-border-color)","borderRadius":"var(--lia-bs-border-radius-sm)","dividerBg":"var(--lia-bs-gray-300)","itemPaddingY":"5px","itemPaddingX":"20px","headerColor":"var(--lia-bs-gray-700)","__typename":"DropdownThemeSettings"},"email":{"link":{"color":"#0069D4","hoverColor":"#0061c2","decoration":"none","hoverDecoration":"underline","__typename":"EmailLinkSettings"},"border":{"color":"#e4e4e4","__typename":"EmailBorderSettings"},"buttons":{"borderRadiusLg":"5px","paddingXLg":"16px","paddingYLg":"7px","fontWeight":"700","primaryTextColor":"#ffffff","primaryTextHoverColor":"#ffffff","primaryBgColor":"#0069D4","primaryBgHoverColor":"#005cb8","primaryBorder":"1px solid transparent","primaryBorderHover":"1px solid transparent","__typename":"EmailButtonsSettings"},"panel":{"borderRadius":"5px","borderColor":"#e4e4e4","__typename":"EmailPanelSettings"},"__typename":"EmailThemeSettings"},"emoji":{"skinToneDefault":"#ffcd43","skinToneLight":"#fae3c5","skinToneMediumLight":"#e2cfa5","skinToneMedium":"#daa478","skinToneMediumDark":"#a78058","skinToneDark":"#5e4d43","__typename":"EmojiThemeSettings"},"heading":{"color":"var(--lia-bs-body-color)","fontFamily":"Segoe UI","fontStyle":"NORMAL","fontWeight":"400","h1FontSize":"34px","h2FontSize":"32px","h3FontSize":"28px","h4FontSize":"24px","h5FontSize":"20px","h6FontSize":"16px","lineHeight":"1.3","subHeaderFontSize":"11px","subHeaderFontWeight":"500","h1LetterSpacing":"normal","h2LetterSpacing":"normal","h3LetterSpacing":"normal","h4LetterSpacing":"normal","h5LetterSpacing":"normal","h6LetterSpacing":"normal","subHeaderLetterSpacing":"2px","h1FontWeight":"var(--lia-bs-headings-font-weight)","h2FontWeight":"var(--lia-bs-headings-font-weight)","h3FontWeight":"var(--lia-bs-headings-font-weight)","h4FontWeight":"var(--lia-bs-headings-font-weight)","h5FontWeight":"var(--lia-bs-headings-font-weight)","h6FontWeight":"var(--lia-bs-headings-font-weight)","__typename":"HeadingThemeSettings"},"icons":{"size10":"10px","size12":"12px","size14":"14px","size16":"16px","size20":"20px","size24":"24px","size30":"30px","size40":"40px","size50":"50px","size60":"60px","size80":"80px","size120":"120px","size160":"160px","__typename":"IconsThemeSettings"},"imagePreview":{"bgColor":"var(--lia-bs-gray-900)","titleColor":"var(--lia-bs-white)","controlColor":"var(--lia-bs-white)","controlBgColor":"var(--lia-bs-gray-800)","__typename":"ImagePreviewThemeSettings"},"input":{"borderColor":"var(--lia-bs-gray-600)","disabledColor":"var(--lia-bs-gray-600)","focusBorderColor":"var(--lia-bs-primary)","labelMarginBottom":"10px","btnFontSize":"var(--lia-bs-font-size-sm)","focusBoxShadow":"0 0 0 3px hsla(var(--lia-bs-primary-h), var(--lia-bs-primary-s), var(--lia-bs-primary-l), 0.2)","checkLabelMarginBottom":"2px","checkboxBorderRadius":"3px","borderRadiusSm":"var(--lia-bs-border-radius-sm)","borderRadius":"var(--lia-bs-border-radius)","borderRadiusLg":"var(--lia-bs-border-radius-lg)","formTextMarginTop":"4px","textAreaBorderRadius":"var(--lia-bs-border-radius)","activeFillColor":"var(--lia-bs-primary)","__typename":"InputThemeSettings"},"loading":{"dotDarkColor":"hsla(var(--lia-bs-black-h), var(--lia-bs-black-s), var(--lia-bs-black-l), 0.2)","dotLightColor":"hsla(var(--lia-bs-white-h), var(--lia-bs-white-s), var(--lia-bs-white-l), 0.5)","barDarkColor":"hsla(var(--lia-bs-black-h), var(--lia-bs-black-s), var(--lia-bs-black-l), 0.06)","barLightColor":"hsla(var(--lia-bs-white-h), var(--lia-bs-white-s), var(--lia-bs-white-l), 0.4)","__typename":"LoadingThemeSettings"},"link":{"color":"var(--lia-bs-primary)","hoverColor":"hsl(var(--lia-bs-primary-h), var(--lia-bs-primary-s), calc(var(--lia-bs-primary-l) - 10%))","decoration":"none","hoverDecoration":"underline","__typename":"LinkThemeSettings"},"listGroup":{"itemPaddingY":"15px","itemPaddingX":"15px","borderColor":"var(--lia-bs-gray-300)","__typename":"ListGroupThemeSettings"},"modal":{"contentTextColor":"var(--lia-bs-body-color)","contentBg":"var(--lia-bs-white)","backgroundBg":"var(--lia-bs-black)","smSize":"440px","mdSize":"760px","lgSize":"1080px","backdropOpacity":0.3,"contentBoxShadowXs":"var(--lia-bs-box-shadow-sm)","contentBoxShadow":"var(--lia-bs-box-shadow)","headerFontWeight":"700","__typename":"ModalThemeSettings"},"navbar":{"position":"FIXED","background":{"attachment":null,"clip":null,"color":"var(--lia-bs-white)","imageAssetName":"","imageLastModified":"0","origin":null,"position":"CENTER_CENTER","repeat":"NO_REPEAT","size":"COVER","__typename":"BackgroundProps"},"backgroundOpacity":0.8,"paddingTop":"15px","paddingBottom":"15px","borderBottom":"1px solid var(--lia-bs-border-color)","boxShadow":"var(--lia-bs-box-shadow-sm)","brandMarginRight":"30px","brandMarginRightSm":"10px","brandLogoHeight":"30px","linkGap":"10px","linkJustifyContent":"flex-start","linkPaddingY":"5px","linkPaddingX":"10px","linkDropdownPaddingY":"9px","linkDropdownPaddingX":"var(--lia-nav-link-px)","linkColor":"var(--lia-bs-body-color)","linkHoverColor":"var(--lia-bs-primary)","linkFontSize":"var(--lia-bs-font-size-sm)","linkFontStyle":"NORMAL","linkFontWeight":"400","linkTextTransform":"NONE","linkLetterSpacing":"normal","linkBorderRadius":"var(--lia-bs-border-radius-sm)","linkBgColor":"transparent","linkBgHoverColor":"transparent","linkBorder":"none","linkBorderHover":"none","linkBoxShadow":"none","linkBoxShadowHover":"none","linkTextBorderBottom":"none","linkTextBorderBottomHover":"none","dropdownPaddingTop":"10px","dropdownPaddingBottom":"15px","dropdownPaddingX":"10px","dropdownMenuOffset":"2px","dropdownDividerMarginTop":"10px","dropdownDividerMarginBottom":"10px","dropdownBorderColor":"hsla(var(--lia-bs-black-h), var(--lia-bs-black-s), var(--lia-bs-black-l), 0.08)","controllerBgHoverColor":"hsla(var(--lia-bs-black-h), var(--lia-bs-black-s), var(--lia-bs-black-l), 0.1)","controllerIconColor":"var(--lia-bs-body-color)","controllerIconHoverColor":"var(--lia-bs-body-color)","controllerTextColor":"var(--lia-nav-controller-icon-color)","controllerTextHoverColor":"var(--lia-nav-controller-icon-hover-color)","controllerHighlightColor":"hsla(30, 100%, 50%)","controllerHighlightTextColor":"var(--lia-yiq-light)","controllerBorderRadius":"var(--lia-border-radius-50)","hamburgerColor":"var(--lia-nav-controller-icon-color)","hamburgerHoverColor":"var(--lia-nav-controller-icon-color)","hamburgerBgColor":"transparent","hamburgerBgHoverColor":"transparent","hamburgerBorder":"none","hamburgerBorderHover":"none","collapseMenuMarginLeft":"20px","collapseMenuDividerBg":"var(--lia-nav-link-color)","collapseMenuDividerOpacity":0.16,"__typename":"NavbarThemeSettings"},"pager":{"textColor":"var(--lia-bs-link-color)","textFontWeight":"var(--lia-font-weight-md)","textFontSize":"var(--lia-bs-font-size-sm)","__typename":"PagerThemeSettings"},"panel":{"bgColor":"var(--lia-bs-white)","borderRadius":"var(--lia-bs-border-radius)","borderColor":"var(--lia-bs-border-color)","boxShadow":"none","__typename":"PanelThemeSettings"},"popover":{"arrowHeight":"8px","arrowWidth":"16px","maxWidth":"300px","minWidth":"100px","headerBg":"var(--lia-bs-white)","borderColor":"var(--lia-bs-border-color)","borderRadius":"var(--lia-bs-border-radius)","boxShadow":"0 0.5rem 1rem hsla(var(--lia-bs-black-h), var(--lia-bs-black-s), var(--lia-bs-black-l), 0.15)","__typename":"PopoverThemeSettings"},"prism":{"color":"#000000","bgColor":"#f5f2f0","fontFamily":"var(--font-family-monospace)","fontSize":"var(--lia-bs-font-size-base)","fontWeightBold":"var(--lia-bs-font-weight-bold)","fontStyleItalic":"italic","tabSize":2,"highlightColor":"#b3d4fc","commentColor":"#62707e","punctuationColor":"#6f6f6f","namespaceOpacity":"0.7","propColor":"#990055","selectorColor":"#517a00","operatorColor":"#906736","operatorBgColor":"hsla(0, 0%, 100%, 0.5)","keywordColor":"#0076a9","functionColor":"#d3284b","variableColor":"#c14700","__typename":"PrismThemeSettings"},"rte":{"bgColor":"var(--lia-bs-white)","borderRadius":"var(--lia-panel-border-radius)","boxShadow":" var(--lia-panel-box-shadow)","customColor1":"#bfedd2","customColor2":"#fbeeb8","customColor3":"#f8cac6","customColor4":"#eccafa","customColor5":"#c2e0f4","customColor6":"#2dc26b","customColor7":"#f1c40f","customColor8":"#e03e2d","customColor9":"#b96ad9","customColor10":"#3598db","customColor11":"#169179","customColor12":"#e67e23","customColor13":"#ba372a","customColor14":"#843fa1","customColor15":"#236fa1","customColor16":"#ecf0f1","customColor17":"#ced4d9","customColor18":"#95a5a6","customColor19":"#7e8c8d","customColor20":"#34495e","customColor21":"#000000","customColor22":"#ffffff","defaultMessageHeaderMarginTop":"40px","defaultMessageHeaderMarginBottom":"20px","defaultMessageItemMarginTop":"0","defaultMessageItemMarginBottom":"10px","diffAddedColor":"hsla(170, 53%, 51%, 0.4)","diffChangedColor":"hsla(43, 97%, 63%, 0.4)","diffNoneColor":"hsla(0, 0%, 80%, 0.4)","diffRemovedColor":"hsla(9, 74%, 47%, 0.4)","specialMessageHeaderMarginTop":"40px","specialMessageHeaderMarginBottom":"20px","specialMessageItemMarginTop":"0","specialMessageItemMarginBottom":"10px","__typename":"RteThemeSettings"},"tags":{"bgColor":"var(--lia-bs-gray-200)","bgHoverColor":"var(--lia-bs-gray-400)","borderRadius":"var(--lia-bs-border-radius-sm)","color":"var(--lia-bs-body-color)","hoverColor":"var(--lia-bs-body-color)","fontWeight":"var(--lia-font-weight-md)","fontSize":"var(--lia-font-size-xxs)","textTransform":"UPPERCASE","letterSpacing":"0.5px","__typename":"TagsThemeSettings"},"toasts":{"borderRadius":"var(--lia-bs-border-radius)","paddingX":"12px","__typename":"ToastsThemeSettings"},"typography":{"fontFamilyBase":"Segoe UI","fontStyleBase":"NORMAL","fontWeightBase":"400","fontWeightLight":"300","fontWeightNormal":"400","fontWeightMd":"500","fontWeightBold":"700","letterSpacingSm":"normal","letterSpacingXs":"normal","lineHeightBase":"1.5","fontSizeBase":"16px","fontSizeXxs":"11px","fontSizeXs":"12px","fontSizeSm":"14px","fontSizeLg":"20px","fontSizeXl":"24px","smallFontSize":"14px","customFonts":[{"source":"SERVER","name":"Segoe UI","styles":[{"style":"NORMAL","weight":"400","__typename":"FontStyleData"},{"style":"NORMAL","weight":"300","__typename":"FontStyleData"},{"style":"NORMAL","weight":"600","__typename":"FontStyleData"},{"style":"NORMAL","weight":"700","__typename":"FontStyleData"},{"style":"ITALIC","weight":"400","__typename":"FontStyleData"}],"assetNames":["SegoeUI-normal-400.woff2","SegoeUI-normal-300.woff2","SegoeUI-normal-600.woff2","SegoeUI-normal-700.woff2","SegoeUI-italic-400.woff2"],"__typename":"CustomFont"},{"source":"SERVER","name":"MWF Fluent Icons","styles":[{"style":"NORMAL","weight":"400","__typename":"FontStyleData"}],"assetNames":["MWFFluentIcons-normal-400.woff2"],"__typename":"CustomFont"}],"__typename":"TypographyThemeSettings"},"unstyledListItem":{"marginBottomSm":"5px","marginBottomMd":"10px","marginBottomLg":"15px","marginBottomXl":"20px","marginBottomXxl":"25px","__typename":"UnstyledListItemThemeSettings"},"yiq":{"light":"#ffffff","dark":"#000000","__typename":"YiqThemeSettings"},"colorLightness":{"primaryDark":0.36,"primaryLight":0.74,"primaryLighter":0.89,"primaryLightest":0.95,"infoDark":0.39,"infoLight":0.72,"infoLighter":0.85,"infoLightest":0.93,"successDark":0.24,"successLight":0.62,"successLighter":0.8,"successLightest":0.91,"warningDark":0.39,"warningLight":0.68,"warningLighter":0.84,"warningLightest":0.93,"dangerDark":0.41,"dangerLight":0.72,"dangerLighter":0.89,"dangerLightest":0.95,"__typename":"ColorLightnessThemeSettings"},"localOverride":false,"__typename":"Theme"},"localOverride":false},"CachedAsset:text:en_US-components/common/EmailVerification-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/common/EmailVerification-1744658874050","value":{"email.verification.title":"Email Verification Required","email.verification.message.update.email":"To participate in the community, you must first verify your email address. The verification email was sent to {email}. To change your email, visit My Settings.","email.verification.message.resend.email":"To participate in the community, you must first verify your email address. The verification email was sent to {email}. Resend email."},"localOverride":false},"CachedAsset:text:en_US-shared/client/components/common/Loading/LoadingDot-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-shared/client/components/common/Loading/LoadingDot-1744658874050","value":{"title":"Loading..."},"localOverride":false},"CachedAsset:quilt:o365.prod:pages/blogs/BlogMessagePage:board:IoTBlog-1744984043784":{"__typename":"CachedAsset","id":"quilt:o365.prod:pages/blogs/BlogMessagePage:board:IoTBlog-1744984043784","value":{"id":"BlogMessagePage","container":{"id":"Common","headerProps":{"backgroundImageProps":null,"backgroundColor":null,"addComponents":null,"removeComponents":["community.widget.bannerWidget"],"componentOrder":null,"__typename":"QuiltContainerSectionProps"},"headerComponentProps":{"community.widget.breadcrumbWidget":{"disableLastCrumbForDesktop":false}},"footerProps":null,"footerComponentProps":null,"items":[{"id":"blog-article","layout":"ONE_COLUMN","bgColor":null,"showTitle":null,"showDescription":null,"textPosition":null,"textColor":null,"sectionEditLevel":"LOCKED","bgImage":null,"disableSpacing":null,"edgeToEdgeDisplay":null,"fullHeight":null,"showBorder":null,"__typename":"OneColumnQuiltSection","columnMap":{"main":[{"id":"blogs.widget.blogArticleWidget","className":"lia-blog-container","props":null,"__typename":"QuiltComponent"}],"__typename":"OneSectionColumns"}},{"id":"section-1729184836777","layout":"MAIN_SIDE","bgColor":"transparent","showTitle":false,"showDescription":false,"textPosition":"CENTER","textColor":"var(--lia-bs-body-color)","sectionEditLevel":null,"bgImage":null,"disableSpacing":null,"edgeToEdgeDisplay":null,"fullHeight":null,"showBorder":null,"__typename":"MainSideQuiltSection","columnMap":{"main":[],"side":[],"__typename":"MainSideSectionColumns"}}],"__typename":"QuiltContainer"},"__typename":"Quilt","localOverride":false},"localOverride":false},"CachedAsset:text:en_US-pages/blogs/BlogMessagePage-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-pages/blogs/BlogMessagePage-1744658874050","value":{"title":"{contextMessageSubject} | {communityTitle}","errorMissing":"This blog post cannot be found","name":"Blog Message Page","section.blog-article.title":"Blog Post","archivedMessageTitle":"This Content Has Been Archived","section.section-1729184836777.title":"","section.section-1729184836777.description":"","section.CncIde.title":"Blog Post","section.tifEmD.description":"","section.tifEmD.title":""},"localOverride":false},"CachedAsset:quiltWrapper:o365.prod:Common:1744410236486":{"__typename":"CachedAsset","id":"quiltWrapper:o365.prod:Common:1744410236486","value":{"id":"Common","header":{"backgroundImageProps":{"assetName":null,"backgroundSize":"COVER","backgroundRepeat":"NO_REPEAT","backgroundPosition":"CENTER_CENTER","lastModified":null,"__typename":"BackgroundImageProps"},"backgroundColor":"transparent","items":[{"id":"community.widget.navbarWidget","props":{"showUserName":true,"showRegisterLink":true,"useIconLanguagePicker":true,"useLabelLanguagePicker":true,"className":"QuiltComponent_lia-component-edit-mode__0nCcm","links":{"sideLinks":[],"mainLinks":[{"children":[],"linkType":"INTERNAL","id":"gxcuf89792","params":{},"routeName":"CommunityPage"},{"children":[],"linkType":"EXTERNAL","id":"external-link","url":"/Directory","target":"SELF"},{"children":[{"linkType":"INTERNAL","id":"microsoft365","params":{"categoryId":"microsoft365"},"routeName":"CategoryPage"},{"linkType":"INTERNAL","id":"microsoft-teams","params":{"categoryId":"MicrosoftTeams"},"routeName":"CategoryPage"},{"linkType":"INTERNAL","id":"windows","params":{"categoryId":"Windows"},"routeName":"CategoryPage"},{"linkType":"INTERNAL","id":"microsoft-securityand-compliance","params":{"categoryId":"microsoft-security"},"routeName":"CategoryPage"},{"linkType":"INTERNAL","id":"outlook","params":{"categoryId":"Outlook"},"routeName":"CategoryPage"},{"linkType":"INTERNAL","id":"planner","params":{"categoryId":"Planner"},"routeName":"CategoryPage"},{"linkType":"INTERNAL","id":"windows-server","params":{"categoryId":"Windows-Server"},"routeName":"CategoryPage"},{"linkType":"INTERNAL","id":"azure","params":{"categoryId":"Azure"},"routeName":"CategoryPage"},{"linkType":"INTERNAL","id":"exchange","params":{"categoryId":"Exchange"},"routeName":"CategoryPage"},{"linkType":"INTERNAL","id":"microsoft-endpoint-manager","params":{"categoryId":"microsoft-endpoint-manager"},"routeName":"CategoryPage"},{"linkType":"INTERNAL","id":"s-q-l-server","params":{"categoryId":"SQL-Server"},"routeName":"CategoryPage"},{"linkType":"EXTERNAL","id":"external-link-2","url":"/Directory","target":"SELF"}],"linkType":"EXTERNAL","id":"communities","url":"/","target":"BLANK"},{"children":[{"linkType":"INTERNAL","id":"education-sector","params":{"categoryId":"EducationSector"},"routeName":"CategoryPage"},{"linkType":"INTERNAL","id":"a-i","params":{"categoryId":"AI"},"routeName":"CategoryPage"},{"linkType":"INTERNAL","id":"i-t-ops-talk","params":{"categoryId":"ITOpsTalk"},"routeName":"CategoryPage"},{"linkType":"INTERNAL","id":"partner-community","params":{"categoryId":"PartnerCommunity"},"routeName":"CategoryPage"},{"linkType":"INTERNAL","id":"microsoft-mechanics","params":{"categoryId":"MicrosoftMechanics"},"routeName":"CategoryPage"},{"linkType":"INTERNAL","id":"healthcare-and-life-sciences","params":{"categoryId":"HealthcareAndLifeSciences"},"routeName":"CategoryPage"},{"linkType":"INTERNAL","id":"public-sector","params":{"categoryId":"PublicSector"},"routeName":"CategoryPage"},{"linkType":"INTERNAL","id":"io-t","params":{"categoryId":"IoT"},"routeName":"CategoryPage"},{"linkType":"INTERNAL","id":"driving-adoption","params":{"categoryId":"DrivingAdoption"},"routeName":"CategoryPage"},{"linkType":"INTERNAL","id":"s-m-b","params":{"categoryId":"SMB"},"routeName":"CategoryPage"},{"linkType":"INTERNAL","id":"startupsat-microsoft","params":{"categoryId":"StartupsatMicrosoft"},"routeName":"CategoryPage"},{"linkType":"EXTERNAL","id":"external-link-1","url":"/Directory","target":"SELF"}],"linkType":"EXTERNAL","id":"communities-1","url":"/","target":"SELF"},{"children":[],"linkType":"EXTERNAL","id":"external","url":"/Blogs","target":"SELF"},{"children":[],"linkType":"EXTERNAL","id":"external-1","url":"/Events","target":"SELF"},{"children":[{"linkType":"INTERNAL","id":"microsoft-learn-1","params":{"categoryId":"MicrosoftLearn"},"routeName":"CategoryPage"},{"linkType":"INTERNAL","id":"microsoft-learn-blog","params":{"boardId":"MicrosoftLearnBlog","categoryId":"MicrosoftLearn"},"routeName":"BlogBoardPage"},{"linkType":"EXTERNAL","id":"external-10","url":"https://learningroomdirectory.microsoft.com/","target":"BLANK"},{"linkType":"EXTERNAL","id":"external-3","url":"https://docs.microsoft.com/learn/dynamics365/?WT.mc_id=techcom_header-webpage-m365","target":"BLANK"},{"linkType":"EXTERNAL","id":"external-4","url":"https://docs.microsoft.com/learn/m365/?wt.mc_id=techcom_header-webpage-m365","target":"BLANK"},{"linkType":"EXTERNAL","id":"external-5","url":"https://docs.microsoft.com/learn/topics/sci/?wt.mc_id=techcom_header-webpage-m365","target":"BLANK"},{"linkType":"EXTERNAL","id":"external-6","url":"https://docs.microsoft.com/learn/powerplatform/?wt.mc_id=techcom_header-webpage-powerplatform","target":"BLANK"},{"linkType":"EXTERNAL","id":"external-7","url":"https://docs.microsoft.com/learn/github/?wt.mc_id=techcom_header-webpage-github","target":"BLANK"},{"linkType":"EXTERNAL","id":"external-8","url":"https://docs.microsoft.com/learn/teams/?wt.mc_id=techcom_header-webpage-teams","target":"BLANK"},{"linkType":"EXTERNAL","id":"external-9","url":"https://docs.microsoft.com/learn/dotnet/?wt.mc_id=techcom_header-webpage-dotnet","target":"BLANK"},{"linkType":"EXTERNAL","id":"external-2","url":"https://docs.microsoft.com/learn/azure/?WT.mc_id=techcom_header-webpage-m365","target":"BLANK"}],"linkType":"INTERNAL","id":"microsoft-learn","params":{"categoryId":"MicrosoftLearn"},"routeName":"CategoryPage"},{"children":[],"linkType":"INTERNAL","id":"community-info-center","params":{"categoryId":"Community-Info-Center"},"routeName":"CategoryPage"}]},"style":{"boxShadow":"var(--lia-bs-box-shadow-sm)","controllerHighlightColor":"hsla(30, 100%, 50%)","linkFontWeight":"400","dropdownDividerMarginBottom":"10px","hamburgerBorderHover":"none","linkBoxShadowHover":"none","linkFontSize":"14px","backgroundOpacity":0.8,"controllerBorderRadius":"var(--lia-border-radius-50)","hamburgerBgColor":"transparent","hamburgerColor":"var(--lia-nav-controller-icon-color)","linkTextBorderBottom":"none","brandLogoHeight":"30px","linkBgHoverColor":"transparent","linkLetterSpacing":"normal","collapseMenuDividerOpacity":0.16,"dropdownPaddingBottom":"15px","paddingBottom":"15px","dropdownMenuOffset":"2px","hamburgerBgHoverColor":"transparent","borderBottom":"1px solid var(--lia-bs-border-color)","hamburgerBorder":"none","dropdownPaddingX":"10px","brandMarginRightSm":"10px","linkBoxShadow":"none","collapseMenuDividerBg":"var(--lia-nav-link-color)","linkColor":"var(--lia-bs-body-color)","linkJustifyContent":"flex-start","dropdownPaddingTop":"10px","controllerHighlightTextColor":"var(--lia-yiq-dark)","controllerTextColor":"var(--lia-nav-controller-icon-color)","background":{"imageAssetName":"","color":"var(--lia-bs-white)","size":"COVER","repeat":"NO_REPEAT","position":"CENTER_CENTER","imageLastModified":""},"linkBorderRadius":"var(--lia-bs-border-radius-sm)","linkHoverColor":"var(--lia-bs-body-color)","position":"FIXED","linkBorder":"none","linkTextBorderBottomHover":"2px solid var(--lia-bs-body-color)","brandMarginRight":"30px","hamburgerHoverColor":"var(--lia-nav-controller-icon-color)","linkBorderHover":"none","collapseMenuMarginLeft":"20px","linkFontStyle":"NORMAL","controllerTextHoverColor":"var(--lia-nav-controller-icon-hover-color)","linkPaddingX":"10px","linkPaddingY":"5px","paddingTop":"15px","linkTextTransform":"NONE","dropdownBorderColor":"hsla(var(--lia-bs-black-h), var(--lia-bs-black-s), var(--lia-bs-black-l), 0.08)","controllerBgHoverColor":"hsla(var(--lia-bs-black-h), var(--lia-bs-black-s), var(--lia-bs-black-l), 0.1)","linkBgColor":"transparent","linkDropdownPaddingX":"var(--lia-nav-link-px)","linkDropdownPaddingY":"9px","controllerIconColor":"var(--lia-bs-body-color)","dropdownDividerMarginTop":"10px","linkGap":"10px","controllerIconHoverColor":"var(--lia-bs-body-color)"},"showSearchIcon":false,"languagePickerStyle":"iconAndLabel"},"__typename":"QuiltComponent"},{"id":"community.widget.breadcrumbWidget","props":{"backgroundColor":"transparent","linkHighlightColor":"var(--lia-bs-primary)","visualEffects":{"showBottomBorder":true},"linkTextColor":"var(--lia-bs-gray-700)"},"__typename":"QuiltComponent"},{"id":"custom.widget.community_banner","props":{"widgetVisibility":"signedInOrAnonymous","useTitle":true,"usePageWidth":false,"useBackground":false,"title":"","lazyLoad":false},"__typename":"QuiltComponent"},{"id":"custom.widget.HeroBanner","props":{"widgetVisibility":"signedInOrAnonymous","usePageWidth":false,"useTitle":true,"cMax_items":3,"useBackground":false,"title":"","lazyLoad":false,"widgetChooser":"custom.widget.HeroBanner"},"__typename":"QuiltComponent"}],"__typename":"QuiltWrapperSection"},"footer":{"backgroundImageProps":{"assetName":null,"backgroundSize":"COVER","backgroundRepeat":"NO_REPEAT","backgroundPosition":"CENTER_CENTER","lastModified":null,"__typename":"BackgroundImageProps"},"backgroundColor":"transparent","items":[{"id":"custom.widget.MicrosoftFooter","props":{"widgetVisibility":"signedInOrAnonymous","useTitle":true,"useBackground":false,"title":"","lazyLoad":false},"__typename":"QuiltComponent"}],"__typename":"QuiltWrapperSection"},"__typename":"QuiltWrapper","localOverride":false},"localOverride":false},"CachedAsset:text:en_US-components/common/ActionFeedback-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/common/ActionFeedback-1744658874050","value":{"joinedGroupHub.title":"Welcome","joinedGroupHub.message":"You are now a member of this group and are subscribed to updates.","groupHubInviteNotFound.title":"Invitation Not Found","groupHubInviteNotFound.message":"Sorry, we could not find your invitation to the group. The owner may have canceled the invite.","groupHubNotFound.title":"Group Not Found","groupHubNotFound.message":"The grouphub you tried to join does not exist. It may have been deleted.","existingGroupHubMember.title":"Already Joined","existingGroupHubMember.message":"You are already a member of this group.","accountLocked.title":"Account Locked","accountLocked.message":"Your account has been locked due to multiple failed attempts. Try again in {lockoutTime} minutes.","editedGroupHub.title":"Changes Saved","editedGroupHub.message":"Your group has been updated.","leftGroupHub.title":"Goodbye","leftGroupHub.message":"You are no longer a member of this group and will not receive future updates.","deletedGroupHub.title":"Deleted","deletedGroupHub.message":"The group has been deleted.","groupHubCreated.title":"Group Created","groupHubCreated.message":"{groupHubName} is ready to use","accountClosed.title":"Account Closed","accountClosed.message":"The account has been closed and you will now be redirected to the homepage","resetTokenExpired.title":"Reset Password Link has Expired","resetTokenExpired.message":"Try resetting your password again","invalidUrl.title":"Invalid URL","invalidUrl.message":"The URL you're using is not recognized. Verify your URL and try again.","accountClosedForUser.title":"Account Closed","accountClosedForUser.message":"{userName}'s account is closed","inviteTokenInvalid.title":"Invitation Invalid","inviteTokenInvalid.message":"Your invitation to the community has been canceled or expired.","inviteTokenError.title":"Invitation Verification Failed","inviteTokenError.message":"The url you are utilizing is not recognized. Verify your URL and try again","pageNotFound.title":"Access Denied","pageNotFound.message":"You do not have access to this area of the community or it doesn't exist","eventAttending.title":"Responded as Attending","eventAttending.message":"You'll be notified when there's new activity and reminded as the event approaches","eventInterested.title":"Responded as Interested","eventInterested.message":"You'll be notified when there's new activity and reminded as the event approaches","eventNotFound.title":"Event Not Found","eventNotFound.message":"The event you tried to respond to does not exist.","redirectToRelatedPage.title":"Showing Related Content","redirectToRelatedPageForBaseUsers.title":"Showing Related Content","redirectToRelatedPageForBaseUsers.message":"The content you are trying to access is archived","redirectToRelatedPage.message":"The content you are trying to access is archived","relatedUrl.archivalLink.flyoutMessage":"The content you are trying to access is archived View Archived Content"},"localOverride":false},"CachedAsset:component:custom.widget.community_banner-en-1744410455682":{"__typename":"CachedAsset","id":"component:custom.widget.community_banner-en-1744410455682","value":{"component":{"id":"custom.widget.community_banner","template":{"id":"community_banner","markupLanguage":"HANDLEBARS","style":".community-banner {\n a.top-bar.btn {\n top: 0px;\n width: 100%;\n z-index: 999;\n text-align: center;\n left: 0px;\n background: #0068b8;\n color: white;\n padding: 10px 0px;\n display: block;\n box-shadow: none !important;\n border: none !important;\n border-radius: none !important;\n margin: 0px !important;\n font-size: 14px;\n }\n}\n","texts":null,"defaults":{"config":{"applicablePages":[],"description":"community announcement text","fetchedContent":null,"__typename":"ComponentConfiguration"},"props":[],"__typename":"ComponentProperties"},"components":[{"id":"custom.widget.community_banner","form":null,"config":null,"props":[],"__typename":"Component"}],"grouping":"CUSTOM","__typename":"ComponentTemplate"},"properties":{"config":{"applicablePages":[],"description":"community announcement text","fetchedContent":null,"__typename":"ComponentConfiguration"},"props":[],"__typename":"ComponentProperties"},"form":null,"__typename":"Component","localOverride":false},"globalCss":{"css":".custom_widget_community_banner_community-banner_1x9u2_1 {\n a.custom_widget_community_banner_top-bar_1x9u2_2.custom_widget_community_banner_btn_1x9u2_2 {\n top: 0;\n width: 100%;\n z-index: 999;\n text-align: center;\n left: 0;\n background: #0068b8;\n color: white;\n padding: 0.625rem 0;\n display: block;\n box-shadow: none !important;\n border: none !important;\n border-radius: none !important;\n margin: 0 !important;\n font-size: 0.875rem;\n }\n}\n","tokens":{"community-banner":"custom_widget_community_banner_community-banner_1x9u2_1","top-bar":"custom_widget_community_banner_top-bar_1x9u2_2","btn":"custom_widget_community_banner_btn_1x9u2_2"}},"form":null},"localOverride":false},"CachedAsset:component:custom.widget.HeroBanner-en-1744410455682":{"__typename":"CachedAsset","id":"component:custom.widget.HeroBanner-en-1744410455682","value":{"component":{"id":"custom.widget.HeroBanner","template":{"id":"HeroBanner","markupLanguage":"REACT","style":null,"texts":{"searchPlaceholderText":"Search this community","followActionText":"Follow","unfollowActionText":"Following","searchOnHoverText":"Please enter your search term(s) and then press return key to complete a search.","blogs.sidebar.pagetitle":"Latest Blogs | Microsoft Tech Community","followThisNode":"Follow this node","unfollowThisNode":"Unfollow this node"},"defaults":{"config":{"applicablePages":[],"description":null,"fetchedContent":null,"__typename":"ComponentConfiguration"},"props":[{"id":"max_items","dataType":"NUMBER","list":false,"defaultValue":"3","label":"Max Items","description":"The maximum number of items to display in the carousel","possibleValues":null,"control":"INPUT","__typename":"PropDefinition"}],"__typename":"ComponentProperties"},"components":[{"id":"custom.widget.HeroBanner","form":{"fields":[{"id":"widgetChooser","validation":null,"noValidation":null,"dataType":"STRING","list":null,"control":null,"defaultValue":null,"label":null,"description":null,"possibleValues":null,"__typename":"FormField"},{"id":"title","validation":null,"noValidation":null,"dataType":"STRING","list":null,"control":null,"defaultValue":null,"label":null,"description":null,"possibleValues":null,"__typename":"FormField"},{"id":"useTitle","validation":null,"noValidation":null,"dataType":"BOOLEAN","list":null,"control":null,"defaultValue":null,"label":null,"description":null,"possibleValues":null,"__typename":"FormField"},{"id":"useBackground","validation":null,"noValidation":null,"dataType":"BOOLEAN","list":null,"control":null,"defaultValue":null,"label":null,"description":null,"possibleValues":null,"__typename":"FormField"},{"id":"widgetVisibility","validation":null,"noValidation":null,"dataType":"STRING","list":null,"control":null,"defaultValue":null,"label":null,"description":null,"possibleValues":null,"__typename":"FormField"},{"id":"moreOptions","validation":null,"noValidation":null,"dataType":"STRING","list":null,"control":null,"defaultValue":null,"label":null,"description":null,"possibleValues":null,"__typename":"FormField"},{"id":"cMax_items","validation":null,"noValidation":null,"dataType":"NUMBER","list":false,"control":"INPUT","defaultValue":"3","label":"Max Items","description":"The maximum number of items to display in the carousel","possibleValues":null,"__typename":"FormField"}],"layout":{"rows":[{"id":"widgetChooserGroup","type":"fieldset","as":null,"items":[{"id":"widgetChooser","className":null,"__typename":"FormFieldRef"}],"props":null,"legend":null,"description":null,"className":null,"viewVariant":null,"toggleState":null,"__typename":"FormFieldset"},{"id":"titleGroup","type":"fieldset","as":null,"items":[{"id":"title","className":null,"__typename":"FormFieldRef"},{"id":"useTitle","className":null,"__typename":"FormFieldRef"}],"props":null,"legend":null,"description":null,"className":null,"viewVariant":null,"toggleState":null,"__typename":"FormFieldset"},{"id":"useBackground","type":"fieldset","as":null,"items":[{"id":"useBackground","className":null,"__typename":"FormFieldRef"}],"props":null,"legend":null,"description":null,"className":null,"viewVariant":null,"toggleState":null,"__typename":"FormFieldset"},{"id":"widgetVisibility","type":"fieldset","as":null,"items":[{"id":"widgetVisibility","className":null,"__typename":"FormFieldRef"}],"props":null,"legend":null,"description":null,"className":null,"viewVariant":null,"toggleState":null,"__typename":"FormFieldset"},{"id":"moreOptionsGroup","type":"fieldset","as":null,"items":[{"id":"moreOptions","className":null,"__typename":"FormFieldRef"}],"props":null,"legend":null,"description":null,"className":null,"viewVariant":null,"toggleState":null,"__typename":"FormFieldset"},{"id":"componentPropsGroup","type":"fieldset","as":null,"items":[{"id":"cMax_items","className":null,"__typename":"FormFieldRef"}],"props":null,"legend":null,"description":null,"className":null,"viewVariant":null,"toggleState":null,"__typename":"FormFieldset"}],"actionButtons":null,"className":"custom_widget_HeroBanner_form","formGroupFieldSeparator":"divider","__typename":"FormLayout"},"__typename":"Form"},"config":null,"props":[],"__typename":"Component"}],"grouping":"CUSTOM","__typename":"ComponentTemplate"},"properties":{"config":{"applicablePages":[],"description":null,"fetchedContent":null,"__typename":"ComponentConfiguration"},"props":[{"id":"max_items","dataType":"NUMBER","list":false,"defaultValue":"3","label":"Max Items","description":"The maximum number of items to display in the carousel","possibleValues":null,"control":"INPUT","__typename":"PropDefinition"}],"__typename":"ComponentProperties"},"form":{"fields":[{"id":"widgetChooser","validation":null,"noValidation":null,"dataType":"STRING","list":null,"control":null,"defaultValue":null,"label":null,"description":null,"possibleValues":null,"__typename":"FormField"},{"id":"title","validation":null,"noValidation":null,"dataType":"STRING","list":null,"control":null,"defaultValue":null,"label":null,"description":null,"possibleValues":null,"__typename":"FormField"},{"id":"useTitle","validation":null,"noValidation":null,"dataType":"BOOLEAN","list":null,"control":null,"defaultValue":null,"label":null,"description":null,"possibleValues":null,"__typename":"FormField"},{"id":"useBackground","validation":null,"noValidation":null,"dataType":"BOOLEAN","list":null,"control":null,"defaultValue":null,"label":null,"description":null,"possibleValues":null,"__typename":"FormField"},{"id":"widgetVisibility","validation":null,"noValidation":null,"dataType":"STRING","list":null,"control":null,"defaultValue":null,"label":null,"description":null,"possibleValues":null,"__typename":"FormField"},{"id":"moreOptions","validation":null,"noValidation":null,"dataType":"STRING","list":null,"control":null,"defaultValue":null,"label":null,"description":null,"possibleValues":null,"__typename":"FormField"},{"id":"cMax_items","validation":null,"noValidation":null,"dataType":"NUMBER","list":false,"control":"INPUT","defaultValue":"3","label":"Max Items","description":"The maximum number of items to display in the carousel","possibleValues":null,"__typename":"FormField"}],"layout":{"rows":[{"id":"widgetChooserGroup","type":"fieldset","as":null,"items":[{"id":"widgetChooser","className":null,"__typename":"FormFieldRef"}],"props":null,"legend":null,"description":null,"className":null,"viewVariant":null,"toggleState":null,"__typename":"FormFieldset"},{"id":"titleGroup","type":"fieldset","as":null,"items":[{"id":"title","className":null,"__typename":"FormFieldRef"},{"id":"useTitle","className":null,"__typename":"FormFieldRef"}],"props":null,"legend":null,"description":null,"className":null,"viewVariant":null,"toggleState":null,"__typename":"FormFieldset"},{"id":"useBackground","type":"fieldset","as":null,"items":[{"id":"useBackground","className":null,"__typename":"FormFieldRef"}],"props":null,"legend":null,"description":null,"className":null,"viewVariant":null,"toggleState":null,"__typename":"FormFieldset"},{"id":"widgetVisibility","type":"fieldset","as":null,"items":[{"id":"widgetVisibility","className":null,"__typename":"FormFieldRef"}],"props":null,"legend":null,"description":null,"className":null,"viewVariant":null,"toggleState":null,"__typename":"FormFieldset"},{"id":"moreOptionsGroup","type":"fieldset","as":null,"items":[{"id":"moreOptions","className":null,"__typename":"FormFieldRef"}],"props":null,"legend":null,"description":null,"className":null,"viewVariant":null,"toggleState":null,"__typename":"FormFieldset"},{"id":"componentPropsGroup","type":"fieldset","as":null,"items":[{"id":"cMax_items","className":null,"__typename":"FormFieldRef"}],"props":null,"legend":null,"description":null,"className":null,"viewVariant":null,"toggleState":null,"__typename":"FormFieldset"}],"actionButtons":null,"className":"custom_widget_HeroBanner_form","formGroupFieldSeparator":"divider","__typename":"FormLayout"},"__typename":"Form"},"__typename":"Component","localOverride":false},"globalCss":null,"form":{"fields":[{"id":"widgetChooser","validation":null,"noValidation":null,"dataType":"STRING","list":null,"control":null,"defaultValue":null,"label":null,"description":null,"possibleValues":null,"__typename":"FormField"},{"id":"title","validation":null,"noValidation":null,"dataType":"STRING","list":null,"control":null,"defaultValue":null,"label":null,"description":null,"possibleValues":null,"__typename":"FormField"},{"id":"useTitle","validation":null,"noValidation":null,"dataType":"BOOLEAN","list":null,"control":null,"defaultValue":null,"label":null,"description":null,"possibleValues":null,"__typename":"FormField"},{"id":"useBackground","validation":null,"noValidation":null,"dataType":"BOOLEAN","list":null,"control":null,"defaultValue":null,"label":null,"description":null,"possibleValues":null,"__typename":"FormField"},{"id":"widgetVisibility","validation":null,"noValidation":null,"dataType":"STRING","list":null,"control":null,"defaultValue":null,"label":null,"description":null,"possibleValues":null,"__typename":"FormField"},{"id":"moreOptions","validation":null,"noValidation":null,"dataType":"STRING","list":null,"control":null,"defaultValue":null,"label":null,"description":null,"possibleValues":null,"__typename":"FormField"},{"id":"cMax_items","validation":null,"noValidation":null,"dataType":"NUMBER","list":false,"control":"INPUT","defaultValue":"3","label":"Max Items","description":"The maximum number of items to display in the carousel","possibleValues":null,"__typename":"FormField"}],"layout":{"rows":[{"id":"widgetChooserGroup","type":"fieldset","as":null,"items":[{"id":"widgetChooser","className":null,"__typename":"FormFieldRef"}],"props":null,"legend":null,"description":null,"className":null,"viewVariant":null,"toggleState":null,"__typename":"FormFieldset"},{"id":"titleGroup","type":"fieldset","as":null,"items":[{"id":"title","className":null,"__typename":"FormFieldRef"},{"id":"useTitle","className":null,"__typename":"FormFieldRef"}],"props":null,"legend":null,"description":null,"className":null,"viewVariant":null,"toggleState":null,"__typename":"FormFieldset"},{"id":"useBackground","type":"fieldset","as":null,"items":[{"id":"useBackground","className":null,"__typename":"FormFieldRef"}],"props":null,"legend":null,"description":null,"className":null,"viewVariant":null,"toggleState":null,"__typename":"FormFieldset"},{"id":"widgetVisibility","type":"fieldset","as":null,"items":[{"id":"widgetVisibility","className":null,"__typename":"FormFieldRef"}],"props":null,"legend":null,"description":null,"className":null,"viewVariant":null,"toggleState":null,"__typename":"FormFieldset"},{"id":"moreOptionsGroup","type":"fieldset","as":null,"items":[{"id":"moreOptions","className":null,"__typename":"FormFieldRef"}],"props":null,"legend":null,"description":null,"className":null,"viewVariant":null,"toggleState":null,"__typename":"FormFieldset"},{"id":"componentPropsGroup","type":"fieldset","as":null,"items":[{"id":"cMax_items","className":null,"__typename":"FormFieldRef"}],"props":null,"legend":null,"description":null,"className":null,"viewVariant":null,"toggleState":null,"__typename":"FormFieldset"}],"actionButtons":null,"className":"custom_widget_HeroBanner_form","formGroupFieldSeparator":"divider","__typename":"FormLayout"},"__typename":"Form"}},"localOverride":false},"CachedAsset:component:custom.widget.MicrosoftFooter-en-1744410455682":{"__typename":"CachedAsset","id":"component:custom.widget.MicrosoftFooter-en-1744410455682","value":{"component":{"id":"custom.widget.MicrosoftFooter","template":{"id":"MicrosoftFooter","markupLanguage":"HANDLEBARS","style":".context-uhf {\n min-width: 280px;\n font-size: 15px;\n box-sizing: border-box;\n -ms-text-size-adjust: 100%;\n -webkit-text-size-adjust: 100%;\n & *,\n & *:before,\n & *:after {\n box-sizing: inherit;\n }\n a.c-uhff-link {\n color: #616161;\n word-break: break-word;\n text-decoration: none;\n }\n &a:link,\n &a:focus,\n &a:hover,\n &a:active,\n &a:visited {\n text-decoration: none;\n color: inherit;\n }\n & div {\n font-family: 'Segoe UI', SegoeUI, 'Helvetica Neue', Helvetica, Arial, sans-serif;\n }\n}\n.c-uhff {\n background: #f2f2f2;\n margin: -1.5625;\n width: auto;\n height: auto;\n}\n.c-uhff-nav {\n margin: 0 auto;\n max-width: calc(1600px + 10%);\n padding: 0 5%;\n box-sizing: inherit;\n &:before,\n &:after {\n content: ' ';\n display: table;\n clear: left;\n }\n @media only screen and (max-width: 1083px) {\n padding-left: 12px;\n }\n .c-heading-4 {\n color: #616161;\n word-break: break-word;\n font-size: 15px;\n line-height: 20px;\n padding: 36px 0 4px;\n font-weight: 600;\n }\n .c-uhff-nav-row {\n .c-uhff-nav-group {\n display: block;\n float: left;\n min-height: 1px;\n vertical-align: text-top;\n padding: 0 12px;\n width: 100%;\n zoom: 1;\n &:first-child {\n padding-left: 0;\n @media only screen and (max-width: 1083px) {\n padding-left: 12px;\n }\n }\n @media only screen and (min-width: 540px) and (max-width: 1082px) {\n width: 33.33333%;\n }\n @media only screen and (min-width: 1083px) {\n width: 16.6666666667%;\n }\n ul.c-list.f-bare {\n font-size: 11px;\n line-height: 16px;\n margin-top: 0;\n margin-bottom: 0;\n padding-left: 0;\n list-style-type: none;\n li {\n word-break: break-word;\n padding: 8px 0;\n margin: 0;\n }\n }\n }\n }\n}\n.c-uhff-base {\n background: #f2f2f2;\n margin: 0 auto;\n max-width: calc(1600px + 10%);\n padding: 30px 5% 16px;\n &:before,\n &:after {\n content: ' ';\n display: table;\n }\n &:after {\n clear: both;\n }\n a.c-uhff-ccpa {\n font-size: 11px;\n line-height: 16px;\n float: left;\n margin: 3px 0;\n }\n a.c-uhff-ccpa:hover {\n text-decoration: underline;\n }\n ul.c-list {\n font-size: 11px;\n line-height: 16px;\n float: right;\n margin: 3px 0;\n color: #616161;\n li {\n padding: 0 24px 4px 0;\n display: inline-block;\n }\n }\n .c-list.f-bare {\n padding-left: 0;\n list-style-type: none;\n }\n @media only screen and (max-width: 1083px) {\n display: flex;\n flex-wrap: wrap;\n padding: 30px 24px 16px;\n }\n}\n\n.social-share {\n position: fixed;\n top: 60%;\n transform: translateY(-50%);\n left: 0;\n z-index: 1000;\n}\n\n.sharing-options {\n list-style: none;\n padding: 0;\n margin: 0;\n display: block;\n flex-direction: column;\n background-color: white;\n width: 43px;\n border-radius: 0px 7px 7px 0px;\n}\n.linkedin-icon {\n border-top-right-radius: 7px;\n}\n.linkedin-icon:hover {\n border-radius: 0;\n}\n.social-share-rss-image {\n border-bottom-right-radius: 7px;\n}\n.social-share-rss-image:hover {\n border-radius: 0;\n}\n\n.social-link-footer {\n position: relative;\n display: block;\n margin: -2px 0;\n transition: all 0.2s ease;\n}\n.social-link-footer:hover .linkedin-icon {\n border-radius: 0;\n}\n.social-link-footer:hover .social-share-rss-image {\n border-radius: 0;\n}\n\n.social-link-footer img {\n width: 40px;\n height: auto;\n transition: filter 0.3s ease;\n}\n\n.social-share-list {\n width: 40px;\n}\n.social-share-rss-image {\n width: 40px;\n}\n\n.share-icon {\n border: 2px solid transparent;\n display: inline-block;\n position: relative;\n}\n\n.share-icon:hover {\n opacity: 1;\n border: 2px solid white;\n box-sizing: border-box;\n}\n\n.share-icon:hover .label {\n opacity: 1;\n visibility: visible;\n border: 2px solid white;\n box-sizing: border-box;\n border-left: none;\n}\n\n.label {\n position: absolute;\n left: 100%;\n white-space: nowrap;\n opacity: 0;\n visibility: hidden;\n transition: all 0.2s ease;\n color: white;\n border-radius: 0 10 0 10px;\n top: 50%;\n transform: translateY(-50%);\n height: 40px;\n border-radius: 0 6px 6px 0;\n display: flex;\n align-items: center;\n justify-content: center;\n padding: 20px 5px 20px 8px;\n margin-left: -1px;\n}\n.linkedin {\n background-color: #0474b4;\n}\n.facebook {\n background-color: #3c5c9c;\n}\n.twitter {\n background-color: white;\n color: black;\n}\n.reddit {\n background-color: #fc4404;\n}\n.mail {\n background-color: #848484;\n}\n.bluesky {\n background-color: white;\n color: black;\n}\n.rss {\n background-color: #ec7b1c;\n}\n#RSS {\n width: 40px;\n height: 40px;\n}\n\n@media (max-width: 991px) {\n .social-share {\n display: none;\n }\n}\n","texts":{"New tab":"What's New","New 1":"Surface Laptop Studio 2","New 2":"Surface Laptop Go 3","New 3":"Surface Pro 9","New 4":"Surface Laptop 5","New 5":"Surface Studio 2+","New 6":"Copilot in Windows","New 7":"Microsoft 365","New 8":"Windows 11 apps","Store tab":"Microsoft Store","Store 1":"Account Profile","Store 2":"Download Center","Store 3":"Microsoft Store Support","Store 4":"Returns","Store 5":"Order tracking","Store 6":"Certified Refurbished","Store 7":"Microsoft Store Promise","Store 8":"Flexible Payments","Education tab":"Education","Edu 1":"Microsoft in education","Edu 2":"Devices for education","Edu 3":"Microsoft Teams for Education","Edu 4":"Microsoft 365 Education","Edu 5":"How to buy for your school","Edu 6":"Educator Training and development","Edu 7":"Deals for students and parents","Edu 8":"Azure for students","Business tab":"Business","Bus 1":"Microsoft Cloud","Bus 2":"Microsoft Security","Bus 3":"Dynamics 365","Bus 4":"Microsoft 365","Bus 5":"Microsoft Power Platform","Bus 6":"Microsoft Teams","Bus 7":"Microsoft Industry","Bus 8":"Small Business","Developer tab":"Developer & IT","Dev 1":"Azure","Dev 2":"Developer Center","Dev 3":"Documentation","Dev 4":"Microsoft Learn","Dev 5":"Microsoft Tech Community","Dev 6":"Azure Marketplace","Dev 7":"AppSource","Dev 8":"Visual Studio","Company tab":"Company","Com 1":"Careers","Com 2":"About Microsoft","Com 3":"Company News","Com 4":"Privacy at Microsoft","Com 5":"Investors","Com 6":"Diversity and inclusion","Com 7":"Accessiblity","Com 8":"Sustainibility"},"defaults":{"config":{"applicablePages":[],"description":"The Microsoft Footer","fetchedContent":null,"__typename":"ComponentConfiguration"},"props":[],"__typename":"ComponentProperties"},"components":[{"id":"custom.widget.MicrosoftFooter","form":null,"config":null,"props":[],"__typename":"Component"}],"grouping":"CUSTOM","__typename":"ComponentTemplate"},"properties":{"config":{"applicablePages":[],"description":"The Microsoft Footer","fetchedContent":null,"__typename":"ComponentConfiguration"},"props":[],"__typename":"ComponentProperties"},"form":null,"__typename":"Component","localOverride":false},"globalCss":{"css":".custom_widget_MicrosoftFooter_context-uhf_105bp_1 {\n min-width: 17.5rem;\n font-size: 0.9375rem;\n box-sizing: border-box;\n -ms-text-size-adjust: 100%;\n -webkit-text-size-adjust: 100%;\n & *,\n & *:before,\n & *:after {\n box-sizing: inherit;\n }\n a.custom_widget_MicrosoftFooter_c-uhff-link_105bp_12 {\n color: #616161;\n word-break: break-word;\n text-decoration: none;\n }\n &a:link,\n &a:focus,\n &a:hover,\n &a:active,\n &a:visited {\n text-decoration: none;\n color: inherit;\n }\n & div {\n font-family: 'Segoe UI', SegoeUI, 'Helvetica Neue', Helvetica, Arial, sans-serif;\n }\n}\n.custom_widget_MicrosoftFooter_c-uhff_105bp_12 {\n background: #f2f2f2;\n margin: -1.5625;\n width: auto;\n height: auto;\n}\n.custom_widget_MicrosoftFooter_c-uhff-nav_105bp_35 {\n margin: 0 auto;\n max-width: calc(100rem + 10%);\n padding: 0 5%;\n box-sizing: inherit;\n &:before,\n &:after {\n content: ' ';\n display: table;\n clear: left;\n }\n @media only screen and (max-width: 1083px) {\n padding-left: 0.75rem;\n }\n .custom_widget_MicrosoftFooter_c-heading-4_105bp_49 {\n color: #616161;\n word-break: break-word;\n font-size: 0.9375rem;\n line-height: 1.25rem;\n padding: 2.25rem 0 0.25rem;\n font-weight: 600;\n }\n .custom_widget_MicrosoftFooter_c-uhff-nav-row_105bp_57 {\n .custom_widget_MicrosoftFooter_c-uhff-nav-group_105bp_58 {\n display: block;\n float: left;\n min-height: 0.0625rem;\n vertical-align: text-top;\n padding: 0 0.75rem;\n width: 100%;\n zoom: 1;\n &:first-child {\n padding-left: 0;\n @media only screen and (max-width: 1083px) {\n padding-left: 0.75rem;\n }\n }\n @media only screen and (min-width: 540px) and (max-width: 1082px) {\n width: 33.33333%;\n }\n @media only screen and (min-width: 1083px) {\n width: 16.6666666667%;\n }\n ul.custom_widget_MicrosoftFooter_c-list_105bp_78.custom_widget_MicrosoftFooter_f-bare_105bp_78 {\n font-size: 0.6875rem;\n line-height: 1rem;\n margin-top: 0;\n margin-bottom: 0;\n padding-left: 0;\n list-style-type: none;\n li {\n word-break: break-word;\n padding: 0.5rem 0;\n margin: 0;\n }\n }\n }\n }\n}\n.custom_widget_MicrosoftFooter_c-uhff-base_105bp_94 {\n background: #f2f2f2;\n margin: 0 auto;\n max-width: calc(100rem + 10%);\n padding: 1.875rem 5% 1rem;\n &:before,\n &:after {\n content: ' ';\n display: table;\n }\n &:after {\n clear: both;\n }\n a.custom_widget_MicrosoftFooter_c-uhff-ccpa_105bp_107 {\n font-size: 0.6875rem;\n line-height: 1rem;\n float: left;\n margin: 0.1875rem 0;\n }\n a.custom_widget_MicrosoftFooter_c-uhff-ccpa_105bp_107:hover {\n text-decoration: underline;\n }\n ul.custom_widget_MicrosoftFooter_c-list_105bp_78 {\n font-size: 0.6875rem;\n line-height: 1rem;\n float: right;\n margin: 0.1875rem 0;\n color: #616161;\n li {\n padding: 0 1.5rem 0.25rem 0;\n display: inline-block;\n }\n }\n .custom_widget_MicrosoftFooter_c-list_105bp_78.custom_widget_MicrosoftFooter_f-bare_105bp_78 {\n padding-left: 0;\n list-style-type: none;\n }\n @media only screen and (max-width: 1083px) {\n display: flex;\n flex-wrap: wrap;\n padding: 1.875rem 1.5rem 1rem;\n }\n}\n.custom_widget_MicrosoftFooter_social-share_105bp_138 {\n position: fixed;\n top: 60%;\n transform: translateY(-50%);\n left: 0;\n z-index: 1000;\n}\n.custom_widget_MicrosoftFooter_sharing-options_105bp_146 {\n list-style: none;\n padding: 0;\n margin: 0;\n display: block;\n flex-direction: column;\n background-color: white;\n width: 2.6875rem;\n border-radius: 0 0.4375rem 0.4375rem 0;\n}\n.custom_widget_MicrosoftFooter_linkedin-icon_105bp_156 {\n border-top-right-radius: 7px;\n}\n.custom_widget_MicrosoftFooter_linkedin-icon_105bp_156:hover {\n border-radius: 0;\n}\n.custom_widget_MicrosoftFooter_social-share-rss-image_105bp_162 {\n border-bottom-right-radius: 7px;\n}\n.custom_widget_MicrosoftFooter_social-share-rss-image_105bp_162:hover {\n border-radius: 0;\n}\n.custom_widget_MicrosoftFooter_social-link-footer_105bp_169 {\n position: relative;\n display: block;\n margin: -0.125rem 0;\n transition: all 0.2s ease;\n}\n.custom_widget_MicrosoftFooter_social-link-footer_105bp_169:hover .custom_widget_MicrosoftFooter_linkedin-icon_105bp_156 {\n border-radius: 0;\n}\n.custom_widget_MicrosoftFooter_social-link-footer_105bp_169:hover .custom_widget_MicrosoftFooter_social-share-rss-image_105bp_162 {\n border-radius: 0;\n}\n.custom_widget_MicrosoftFooter_social-link-footer_105bp_169 img {\n width: 2.5rem;\n height: auto;\n transition: filter 0.3s ease;\n}\n.custom_widget_MicrosoftFooter_social-share-list_105bp_188 {\n width: 2.5rem;\n}\n.custom_widget_MicrosoftFooter_social-share-rss-image_105bp_162 {\n width: 2.5rem;\n}\n.custom_widget_MicrosoftFooter_share-icon_105bp_195 {\n border: 2px solid transparent;\n display: inline-block;\n position: relative;\n}\n.custom_widget_MicrosoftFooter_share-icon_105bp_195:hover {\n opacity: 1;\n border: 2px solid white;\n box-sizing: border-box;\n}\n.custom_widget_MicrosoftFooter_share-icon_105bp_195:hover .custom_widget_MicrosoftFooter_label_105bp_207 {\n opacity: 1;\n visibility: visible;\n border: 2px solid white;\n box-sizing: border-box;\n border-left: none;\n}\n.custom_widget_MicrosoftFooter_label_105bp_207 {\n position: absolute;\n left: 100%;\n white-space: nowrap;\n opacity: 0;\n visibility: hidden;\n transition: all 0.2s ease;\n color: white;\n border-radius: 0 10 0 0.625rem;\n top: 50%;\n transform: translateY(-50%);\n height: 2.5rem;\n border-radius: 0 0.375rem 0.375rem 0;\n display: flex;\n align-items: center;\n justify-content: center;\n padding: 1.25rem 0.3125rem 1.25rem 0.5rem;\n margin-left: -0.0625rem;\n}\n.custom_widget_MicrosoftFooter_linkedin_105bp_156 {\n background-color: #0474b4;\n}\n.custom_widget_MicrosoftFooter_facebook_105bp_237 {\n background-color: #3c5c9c;\n}\n.custom_widget_MicrosoftFooter_twitter_105bp_240 {\n background-color: white;\n color: black;\n}\n.custom_widget_MicrosoftFooter_reddit_105bp_244 {\n background-color: #fc4404;\n}\n.custom_widget_MicrosoftFooter_mail_105bp_247 {\n background-color: #848484;\n}\n.custom_widget_MicrosoftFooter_bluesky_105bp_250 {\n background-color: white;\n color: black;\n}\n.custom_widget_MicrosoftFooter_rss_105bp_254 {\n background-color: #ec7b1c;\n}\n#custom_widget_MicrosoftFooter_RSS_105bp_1 {\n width: 2.5rem;\n height: 2.5rem;\n}\n@media (max-width: 991px) {\n .custom_widget_MicrosoftFooter_social-share_105bp_138 {\n display: none;\n }\n}\n","tokens":{"context-uhf":"custom_widget_MicrosoftFooter_context-uhf_105bp_1","c-uhff-link":"custom_widget_MicrosoftFooter_c-uhff-link_105bp_12","c-uhff":"custom_widget_MicrosoftFooter_c-uhff_105bp_12","c-uhff-nav":"custom_widget_MicrosoftFooter_c-uhff-nav_105bp_35","c-heading-4":"custom_widget_MicrosoftFooter_c-heading-4_105bp_49","c-uhff-nav-row":"custom_widget_MicrosoftFooter_c-uhff-nav-row_105bp_57","c-uhff-nav-group":"custom_widget_MicrosoftFooter_c-uhff-nav-group_105bp_58","c-list":"custom_widget_MicrosoftFooter_c-list_105bp_78","f-bare":"custom_widget_MicrosoftFooter_f-bare_105bp_78","c-uhff-base":"custom_widget_MicrosoftFooter_c-uhff-base_105bp_94","c-uhff-ccpa":"custom_widget_MicrosoftFooter_c-uhff-ccpa_105bp_107","social-share":"custom_widget_MicrosoftFooter_social-share_105bp_138","sharing-options":"custom_widget_MicrosoftFooter_sharing-options_105bp_146","linkedin-icon":"custom_widget_MicrosoftFooter_linkedin-icon_105bp_156","social-share-rss-image":"custom_widget_MicrosoftFooter_social-share-rss-image_105bp_162","social-link-footer":"custom_widget_MicrosoftFooter_social-link-footer_105bp_169","social-share-list":"custom_widget_MicrosoftFooter_social-share-list_105bp_188","share-icon":"custom_widget_MicrosoftFooter_share-icon_105bp_195","label":"custom_widget_MicrosoftFooter_label_105bp_207","linkedin":"custom_widget_MicrosoftFooter_linkedin_105bp_156","facebook":"custom_widget_MicrosoftFooter_facebook_105bp_237","twitter":"custom_widget_MicrosoftFooter_twitter_105bp_240","reddit":"custom_widget_MicrosoftFooter_reddit_105bp_244","mail":"custom_widget_MicrosoftFooter_mail_105bp_247","bluesky":"custom_widget_MicrosoftFooter_bluesky_105bp_250","rss":"custom_widget_MicrosoftFooter_rss_105bp_254","RSS":"custom_widget_MicrosoftFooter_RSS_105bp_1"}},"form":null},"localOverride":false},"CachedAsset:text:en_US-components/community/Breadcrumb-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/community/Breadcrumb-1744658874050","value":{"navLabel":"Breadcrumbs","dropdown":"Additional parent page navigation"},"localOverride":false},"CachedAsset:text:en_US-components/messages/MessageBanner-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/messages/MessageBanner-1744658874050","value":{"messageMarkedAsSpam":"This post has been marked as spam","messageMarkedAsSpam@board:TKB":"This article has been marked as spam","messageMarkedAsSpam@board:BLOG":"This post has been marked as spam","messageMarkedAsSpam@board:FORUM":"This discussion has been marked as spam","messageMarkedAsSpam@board:OCCASION":"This event has been marked as spam","messageMarkedAsSpam@board:IDEA":"This idea has been marked as spam","manageSpam":"Manage Spam","messageMarkedAsAbuse":"This post has been marked as abuse","messageMarkedAsAbuse@board:TKB":"This article has been marked as abuse","messageMarkedAsAbuse@board:BLOG":"This post has been marked as abuse","messageMarkedAsAbuse@board:FORUM":"This discussion has been marked as abuse","messageMarkedAsAbuse@board:OCCASION":"This event has been marked as abuse","messageMarkedAsAbuse@board:IDEA":"This idea has been marked as abuse","preModCommentAuthorText":"This comment will be published as soon as it is approved","preModCommentModeratorText":"This comment is awaiting moderation","messageMarkedAsOther":"This post has been rejected due to other reasons","messageMarkedAsOther@board:TKB":"This article has been rejected due to other reasons","messageMarkedAsOther@board:BLOG":"This post has been rejected due to other reasons","messageMarkedAsOther@board:FORUM":"This discussion has been rejected due to other reasons","messageMarkedAsOther@board:OCCASION":"This event has been rejected due to other reasons","messageMarkedAsOther@board:IDEA":"This idea has been rejected due to other reasons","messageArchived":"This post was archived on {date}","relatedUrl":"View Related Content","relatedContentText":"Showing related content","archivedContentLink":"View Archived Content"},"localOverride":false},"Category:category:Exchange":{"__typename":"Category","id":"category:Exchange","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Category:category:Planner":{"__typename":"Category","id":"category:Planner","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Category:category:Outlook":{"__typename":"Category","id":"category:Outlook","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Category:category:Community-Info-Center":{"__typename":"Category","id":"category:Community-Info-Center","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Category:category:EducationSector":{"__typename":"Category","id":"category:EducationSector","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Category:category:DrivingAdoption":{"__typename":"Category","id":"category:DrivingAdoption","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Category:category:Azure":{"__typename":"Category","id":"category:Azure","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Category:category:Windows-Server":{"__typename":"Category","id":"category:Windows-Server","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Category:category:SQL-Server":{"__typename":"Category","id":"category:SQL-Server","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Category:category:MicrosoftTeams":{"__typename":"Category","id":"category:MicrosoftTeams","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Category:category:PublicSector":{"__typename":"Category","id":"category:PublicSector","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Category:category:microsoft365":{"__typename":"Category","id":"category:microsoft365","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Category:category:HealthcareAndLifeSciences":{"__typename":"Category","id":"category:HealthcareAndLifeSciences","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Category:category:SMB":{"__typename":"Category","id":"category:SMB","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Category:category:ITOpsTalk":{"__typename":"Category","id":"category:ITOpsTalk","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Category:category:microsoft-endpoint-manager":{"__typename":"Category","id":"category:microsoft-endpoint-manager","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Category:category:MicrosoftLearn":{"__typename":"Category","id":"category:MicrosoftLearn","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Blog:board:MicrosoftLearnBlog":{"__typename":"Blog","id":"board:MicrosoftLearnBlog","blogPolicies":{"__typename":"BlogPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}},"boardPolicies":{"__typename":"BoardPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Category:category:AI":{"__typename":"Category","id":"category:AI","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Category:category:MicrosoftMechanics":{"__typename":"Category","id":"category:MicrosoftMechanics","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Category:category:StartupsatMicrosoft":{"__typename":"Category","id":"category:StartupsatMicrosoft","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Category:category:PartnerCommunity":{"__typename":"Category","id":"category:PartnerCommunity","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Category:category:Windows":{"__typename":"Category","id":"category:Windows","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Category:category:microsoft-security":{"__typename":"Category","id":"category:microsoft-security","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"QueryVariables:TopicReplyList:message:2576473:57":{"__typename":"QueryVariables","id":"TopicReplyList:message:2576473:57","value":{"id":"message:2576473","first":10,"sorts":{"postTime":{"direction":"DESC"}},"repliesFirst":3,"repliesFirstDepthThree":1,"repliesSorts":{"postTime":{"direction":"DESC"}},"useAvatar":true,"useAuthorLogin":true,"useAuthorRank":true,"useBody":true,"useKudosCount":true,"useTimeToRead":false,"useMedia":false,"useReadOnlyIcon":false,"useRepliesCount":true,"useSearchSnippet":false,"useAcceptedSolutionButton":false,"useSolvedBadge":false,"useAttachments":false,"attachmentsFirst":5,"useTags":true,"useNodeAncestors":false,"useUserHoverCard":false,"useNodeHoverCard":false,"useModerationStatus":true,"usePreviewSubjectModal":false,"useMessageStatus":true}},"ROOT_MUTATION":{"__typename":"Mutation"},"CachedAsset:text:en_US-components/community/Navbar-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/community/Navbar-1744658874050","value":{"community":"Community Home","inbox":"Inbox","manageContent":"Manage Content","tos":"Terms of Service","forgotPassword":"Forgot Password","themeEditor":"Theme Editor","edit":"Edit Navigation Bar","skipContent":"Skip to content","gxcuf89792":"Tech Community","external-1":"Events","s-m-b":"Small and Medium Businesses","windows-server":"Windows Server","education-sector":"Education Sector","driving-adoption":"Driving Adoption","microsoft-learn":"Microsoft Learn","s-q-l-server":"SQL Server","partner-community":"Microsoft Partner Community","microsoft365":"Microsoft 365","external-9":".NET","external-8":"Teams","external-7":"Github","products-services":"Products","external-6":"Power Platform","communities-1":"Topics","external-5":"Microsoft Security","planner":"Planner","external-4":"Microsoft 365","external-3":"Dynamics 365","azure":"Azure","healthcare-and-life-sciences":"Healthcare and Life Sciences","external-2":"Azure","microsoft-mechanics":"Microsoft Mechanics","microsoft-learn-1":"Community","external-10":"Learning Room Directory","microsoft-learn-blog":"Blog","windows":"Windows","i-t-ops-talk":"ITOps Talk","external-link-1":"View All","microsoft-securityand-compliance":"Microsoft Security","public-sector":"Public Sector","community-info-center":"Lounge","external-link-2":"View All","microsoft-teams":"Microsoft Teams","external":"Blogs","microsoft-endpoint-manager":"Microsoft Intune and Configuration Manager","startupsat-microsoft":"Startups at Microsoft","exchange":"Exchange","a-i":"AI and Machine Learning","io-t":"Internet of Things (IoT)","outlook":"Outlook","external-link":"Community Hubs","communities":"Products"},"localOverride":false},"CachedAsset:text:en_US-components/community/NavbarHamburgerDropdown-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/community/NavbarHamburgerDropdown-1744658874050","value":{"hamburgerLabel":"Side Menu"},"localOverride":false},"CachedAsset:text:en_US-components/community/BrandLogo-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/community/BrandLogo-1744658874050","value":{"logoAlt":"Khoros","themeLogoAlt":"Brand Logo"},"localOverride":false},"CachedAsset:text:en_US-components/community/NavbarTextLinks-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/community/NavbarTextLinks-1744658874050","value":{"more":"More"},"localOverride":false},"CachedAsset:text:en_US-components/authentication/AuthenticationLink-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/authentication/AuthenticationLink-1744658874050","value":{"title.login":"Sign In","title.registration":"Register","title.forgotPassword":"Forgot Password","title.multiAuthLogin":"Sign In"},"localOverride":false},"CachedAsset:text:en_US-components/nodes/NodeLink-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/nodes/NodeLink-1744658874050","value":{"place":"Place {name}"},"localOverride":false},"CachedAsset:text:en_US-components/messages/MessageView/MessageViewStandard-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/messages/MessageView/MessageViewStandard-1744658874050","value":{"anonymous":"Anonymous","author":"{messageAuthorLogin}","authorBy":"{messageAuthorLogin}","board":"{messageBoardTitle}","replyToUser":" to {parentAuthor}","showMoreReplies":"Show More","replyText":"Reply","repliesText":"Replies","markedAsSolved":"Marked as Solved","movedMessagePlaceholder.BLOG":"{count, plural, =0 {This comment has been} other {These comments have been} }","movedMessagePlaceholder.TKB":"{count, plural, =0 {This comment has been} other {These comments have been} }","movedMessagePlaceholder.FORUM":"{count, plural, =0 {This reply has been} other {These replies have been} }","movedMessagePlaceholder.IDEA":"{count, plural, =0 {This comment has been} other {These comments have been} }","movedMessagePlaceholder.OCCASION":"{count, plural, =0 {This comment has been} other {These comments have been} }","movedMessagePlaceholderUrlText":"moved.","messageStatus":"Status: ","statusChanged":"Status changed: {previousStatus} to {currentStatus}","statusAdded":"Status added: {status}","statusRemoved":"Status removed: {status}","labelExpand":"expand replies","labelCollapse":"collapse replies","unhelpfulReason.reason1":"Content is outdated","unhelpfulReason.reason2":"Article is missing information","unhelpfulReason.reason3":"Content is for a different Product","unhelpfulReason.reason4":"Doesn't match what I was searching for"},"localOverride":false},"CachedAsset:text:en_US-components/messages/ThreadedReplyList-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/messages/ThreadedReplyList-1744658874050","value":{"title":"{count, plural, one{# Reply} other{# Replies}}","title@board:BLOG":"{count, plural, one{# Comment} other{# Comments}}","title@board:TKB":"{count, plural, one{# Comment} other{# Comments}}","title@board:IDEA":"{count, plural, one{# Comment} other{# Comments}}","title@board:OCCASION":"{count, plural, one{# Comment} other{# Comments}}","noRepliesTitle":"No Replies","noRepliesTitle@board:BLOG":"No Comments","noRepliesTitle@board:TKB":"No Comments","noRepliesTitle@board:IDEA":"No Comments","noRepliesTitle@board:OCCASION":"No Comments","noRepliesDescription":"Be the first to reply","noRepliesDescription@board:BLOG":"Be the first to comment","noRepliesDescription@board:TKB":"Be the first to comment","noRepliesDescription@board:IDEA":"Be the first to comment","noRepliesDescription@board:OCCASION":"Be the first to comment","messageReadOnlyAlert:BLOG":"Comments have been turned off for this post","messageReadOnlyAlert:TKB":"Comments have been turned off for this article","messageReadOnlyAlert:IDEA":"Comments have been turned off for this idea","messageReadOnlyAlert:FORUM":"Replies have been turned off for this discussion","messageReadOnlyAlert:OCCASION":"Comments have been turned off for this event"},"localOverride":false},"CachedAsset:text:en_US-components/messages/MessageReplyCallToAction-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/messages/MessageReplyCallToAction-1744658874050","value":{"leaveReply":"Leave a reply...","leaveReply@board:BLOG@message:root":"Leave a comment...","leaveReply@board:TKB@message:root":"Leave a comment...","leaveReply@board:IDEA@message:root":"Leave a comment...","leaveReply@board:OCCASION@message:root":"Leave a comment...","repliesTurnedOff.FORUM":"Replies are turned off for this topic","repliesTurnedOff.BLOG":"Comments are turned off for this topic","repliesTurnedOff.TKB":"Comments are turned off for this topic","repliesTurnedOff.IDEA":"Comments are turned off for this topic","repliesTurnedOff.OCCASION":"Comments are turned off for this topic","infoText":"Stop poking me!"},"localOverride":false},"CachedAsset:text:en_US-components/community/NavbarDropdownToggle-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/community/NavbarDropdownToggle-1744658874050","value":{"ariaLabelClosed":"Press the down arrow to open the menu"},"localOverride":false},"CachedAsset:text:en_US-shared/client/components/common/QueryHandler-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-shared/client/components/common/QueryHandler-1744658874050","value":{"title":"Query Handler"},"localOverride":false},"CachedAsset:text:en_US-components/messages/MessageCoverImage-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/messages/MessageCoverImage-1744658874050","value":{"coverImageTitle":"Cover Image"},"localOverride":false},"CachedAsset:text:en_US-shared/client/components/nodes/NodeTitle-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-shared/client/components/nodes/NodeTitle-1744658874050","value":{"nodeTitle":"{nodeTitle, select, community {Community} other {{nodeTitle}}} "},"localOverride":false},"CachedAsset:text:en_US-components/messages/MessageTimeToRead-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/messages/MessageTimeToRead-1744658874050","value":{"minReadText":"{min} MIN READ"},"localOverride":false},"CachedAsset:text:en_US-components/messages/MessageSubject-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/messages/MessageSubject-1744658874050","value":{"noSubject":"(no subject)"},"localOverride":false},"CachedAsset:text:en_US-components/users/UserLink-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/users/UserLink-1744658874050","value":{"authorName":"View Profile: {author}","anonymous":"Anonymous"},"localOverride":false},"CachedAsset:text:en_US-shared/client/components/users/UserRank-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-shared/client/components/users/UserRank-1744658874050","value":{"rankName":"{rankName}","userRank":"Author rank {rankName}"},"localOverride":false},"CachedAsset:text:en_US-components/messages/MessageTime-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/messages/MessageTime-1744658874050","value":{"postTime":"Published: {time}","lastPublishTime":"Last Update: {time}","conversation.lastPostingActivityTime":"Last posting activity time: {time}","conversation.lastPostTime":"Last post time: {time}","moderationData.rejectTime":"Rejected time: {time}"},"localOverride":false},"CachedAsset:text:en_US-components/messages/MessageBody-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/messages/MessageBody-1744658874050","value":{"showMessageBody":"Show More","mentionsErrorTitle":"{mentionsType, select, board {Board} user {User} message {Message} other {}} No Longer Available","mentionsErrorMessage":"The {mentionsType} you are trying to view has been removed from the community.","videoProcessing":"Video is being processed. Please try again in a few minutes.","bannerTitle":"Video provider requires cookies to play the video. Accept to continue or {url} it directly on the provider's site.","buttonTitle":"Accept","urlText":"watch"},"localOverride":false},"CachedAsset:text:en_US-components/messages/MessageCustomFields-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/messages/MessageCustomFields-1744658874050","value":{"CustomField.default.label":"Value of {name}"},"localOverride":false},"CachedAsset:text:en_US-components/messages/MessageRevision-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/messages/MessageRevision-1744658874050","value":{"lastUpdatedDatePublished":"{publishCount, plural, one{Published} other{Updated}} {date}","lastUpdatedDateDraft":"Created {date}","version":"Version {major}.{minor}"},"localOverride":false},"CachedAsset:text:en_US-components/messages/MessageReplyButton-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/messages/MessageReplyButton-1744658874050","value":{"repliesCount":"{count}","title":"Reply","title@board:BLOG@message:root":"Comment","title@board:TKB@message:root":"Comment","title@board:IDEA@message:root":"Comment","title@board:OCCASION@message:root":"Comment"},"localOverride":false},"CachedAsset:text:en_US-components/messages/MessageAuthorBio-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/messages/MessageAuthorBio-1744658874050","value":{"sendMessage":"Send Message","actionMessage":"Follow this blog board to get notified when there's new activity","coAuthor":"CO-PUBLISHER","contributor":"CONTRIBUTOR","userProfile":"View Profile","iconlink":"Go to {name} {type}"},"localOverride":false},"CachedAsset:text:en_US-shared/client/components/users/UserAvatar-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-shared/client/components/users/UserAvatar-1744658874050","value":{"altText":"{login}'s avatar","altTextGeneric":"User's avatar"},"localOverride":false},"CachedAsset:text:en_US-shared/client/components/ranks/UserRankLabel-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-shared/client/components/ranks/UserRankLabel-1744658874050","value":{"altTitle":"Icon for {rankName} rank"},"localOverride":false},"CachedAsset:text:en_US-components/users/UserRegistrationDate-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/users/UserRegistrationDate-1744658874050","value":{"noPrefix":"{date}","withPrefix":"Joined {date}"},"localOverride":false},"CachedAsset:text:en_US-shared/client/components/nodes/NodeAvatar-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-shared/client/components/nodes/NodeAvatar-1744658874050","value":{"altTitle":"Node avatar for {nodeTitle}"},"localOverride":false},"CachedAsset:text:en_US-shared/client/components/nodes/NodeDescription-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-shared/client/components/nodes/NodeDescription-1744658874050","value":{"description":"{description}"},"localOverride":false},"CachedAsset:text:en_US-components/tags/TagView/TagViewChip-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-components/tags/TagView/TagViewChip-1744658874050","value":{"tagLabelName":"Tag name {tagName}"},"localOverride":false},"CachedAsset:text:en_US-shared/client/components/nodes/NodeIcon-1744658874050":{"__typename":"CachedAsset","id":"text:en_US-shared/client/components/nodes/NodeIcon-1744658874050","value":{"contentType":"Content Type {style, select, FORUM {Forum} BLOG {Blog} TKB {Knowledge Base} IDEA {Ideas} OCCASION {Events} other {}} icon"},"localOverride":false}}}},"page":"/blogs/BlogMessagePage/BlogMessagePage","query":{"boardId":"iotblog","messageSubject":"design-an-ai-enabled-nvr-with-ava-edge-and-intel-openvino","messageId":"2576473"},"buildId":"HEhyUrv5OXNBIbfCLaOrw","runtimeConfig":{"buildInformationVisible":false,"logLevelApp":"info","logLevelMetrics":"info","openTelemetryClientEnabled":false,"openTelemetryConfigName":"o365","openTelemetryServiceVersion":"25.1.0","openTelemetryUniverse":"prod","openTelemetryCollector":"http://localhost:4318","openTelemetryRouteChangeAllowedTime":"5000","apolloDevToolsEnabled":false,"inboxMuteWipFeatureEnabled":false},"isFallback":false,"isExperimentalCompile":false,"dynamicIds":["./components/community/Navbar/NavbarWidget.tsx","./components/community/Breadcrumb/BreadcrumbWidget.tsx","./components/customComponent/CustomComponent/CustomComponent.tsx","./components/blogs/BlogArticleWidget/BlogArticleWidget.tsx","./components/external/components/ExternalComponent.tsx","./components/messages/MessageView/MessageViewStandard/MessageViewStandard.tsx","./components/messages/ThreadedReplyList/ThreadedReplyList.tsx","../shared/client/components/common/List/UnwrappedList/UnwrappedList.tsx","./components/tags/TagView/TagView.tsx","./components/tags/TagView/TagViewChip/TagViewChip.tsx"],"appGip":true,"scriptLoader":[{"id":"analytics","src":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/pagescripts/1730819800000/analytics.js?page.id=BlogMessagePage&entity.id=board%3Aiotblog&entity.id=message%3A2576473","strategy":"afterInteractive"}]}