Azure Certified for IoT and the Azure IoT Device Catalog
Update Feb. 2024 -The Azure Certified Device program has concluded on February 23, 2024. This means that the Azure Certified Device catalog, along with certifications for Azure Certified Device, Edge Managed, and IoT Plug and Play will no longer be available after this date. However, the Edge Secured-core program will remain active and will be relocated to a new home ataka.ms/EdgeSecuredCoreHome. ------------------------------------------- When businesses set out on an IoT project, they have many things to consider: how the device connects to the internet, supported industry protocols. compatible sensors, and more. As IoT increasingly moves into the cloud space, one of the most important considerations is cloud compatibility. As Azure continues to grow, Azure compatibility for IoT devices is becoming a key component of the device selection process. To help with this, Microsoft has two programs to help you ensure your IoT device is compatible and discoverable: The Azure Certified for IoT program and the Azure IoT Device Catalog. The Azure Certified for IoT program is a pre-requisite for a device being included in the Azure IoT Device Catalog. There are currently three different certifications a device can achieve: IoT Devices, IoT Start Kit and IoT Edge Device. IoT Device certification covers bi-directional connectivity between the device and Azure IoT Hub. IoT Starter Kit certification builds on IoT Device certification, adding the reading of data from attached sensors, which is then sent to the cloud. IoT Edge Device certification builds on the IoT Device and Starter Kit certifications, adding Azure IoT Hub connectivity, IoT Edge runtime pre-installation, and basic device management. Once your IoT device is certified, it is qualified for inclusion in the Azure IoT Device Catalog. Resources – Azure Certified for IoT Program FAQ Azure Iot Device certification guides Azure IoT Starter Kit certification guide Azure IoT Edge Device certification guide Azure Certified for IoT Device catalog Find more Intelligent Edge resources for device builders at the Intelligent Edge Device Builder Resource Center.Ready to dive in to IoT Plug and Play to get your device certified?
Update Feb. 2024 - The Azure Certified Device program has concluded on February 23, 2024. This means that the Azure Certified Device catalog, along with certifications for Azure Certified Device, Edge Managed, and IoT Plug and Play will no longer be available after this date. However, the Edge Secured-core program will remain active and will be relocated to a new home ataka.ms/EdgeSecuredCoreHome. ------------------------------------------------- If you are ready to get your feet wet and certify an IoT device as IoT Plug and Play ready, and get the hardware fast-tracked into theAzure Certified for IoT device catalog,these are the resources for you - Read IoT Central documentationto learn how to build solutions with IoT Plug and Play devices. Read the IoT Plug and Play documentationto learn how to build solutions using the Azure IoT platform. Learn how to build and certify IoT Plug and Play devices. View theDigital Twin Definition Language specificationon GitHub. Tune in to theInternet of Things Show deep diveon September 11. Browse IoT Plug and Play deviceson the Azure IoT Device Catalog. See a demo ofIoT Plug and Play bridge with a MODBUS environmental sensoron the Channel 9 IoT Show. Try IoT Plug and Play bridgeon GitHub. Learnhow to implement IoT spatial analyticsusing Azure Maps and IoT Plug and Play location schema. Find more resources like these for Intelligent Edge device building at theIntelligent Edge Device Builder Resource Center.The IoT Show: Unboxing the Vision AI DevKit
The Vision AI DevKit appears in the latest 'The IoT Show' in an unboxing demo with Mahesh Yadev and Olivier Bloch. The full video is embedded at the bottom of this post. From the show description - Mahesh Yadav,Software Engineeron the Intelligent Edge team, joins the IoT Show to unbox the Microsoft Vision AI DevKit (aka.ms/iotshow/visionaidevkit), a smart camera for the intelligent edge. The developer kit uses theQualcomm's Vision Intelligence 300 Platformwhich uniquely runs machine learning with hardware acceleration delivering results in milliseconds which is perfect for connected car or connected factory scenarios where you need low latency as well as support offline scenarios. In this episode, you will see how easy it is to bring up AI on the edge withAzure IoT EdgeandAzure Machine Learning. The DevKit includes a sample AI model that identifies 183 objects including people, laptops, chairs and more. The highlight of the show is a real-time camera demo that asserts that both Mahesh and Olivier reallyarepeople.Enhancing automatic module deployments to devices through Azure IoT Edge
Azure IoT Edge has today released several enhancements to improve remote device management and edge device workload update tasks. Layered deploymentsgive you the ability to independently deploy different combinations of modules to otherwise similar hardware, without requiring the creation of an automatic Deployment for every unique hardware configuration. Improved UI for automatic deployments allows for browsing and selection of Microsoft Azure Marketplace modules from within the create deployment experience. There are also new controls for setting routes and module twin properties. Automatic device management has gained automatic configuration for module twins helps to automate some repetitive tasks, similar to what is already available for for managing automatic device configurations. Ready to dive in? Read the full blog post for more details Learn aboutlayered deployments for Azure IoT Edge Learn aboutautomatic device management support for module twinsAI@Edge Community - Samples and other resources to kick start your AI hardware project on the Edge
Are you starting an IoT project that needs to take advantage of AI processing at the edge? Do you want to find some great example projects to kick start your planning? TheAI@Edge community pages are a great place to find resources and sample projects for using Azure services to move your project to the prototype stage quickly. There are many example projects, guides to creating AI/machine Learning models, help for choosing the best hardware and more. You will also find links to additional community resources and live events you can participate in. Give the site a check today!Ignite 2019 - Using Azure IoT Center to quickly integrate IoT Plug and Play devices
Microsoft Ignite 2019 provided a number of learning sessions and theater demos featuring IoT / Intelligent Edge hardware integrations with Azure services. In the Theater Presentation -Integrate devices to your solution quickly with IoT Plug and Play,Tanmay Bhagwat provides a quick, 20 minute, demonstration using device models and Certified for Azure IoT devices to easily create a production grade IoT solution without writing any embedded code. Watch the full demo below, and if you want to download the slides, check out this pageAzure IoT announcements at IoT Solutions World Congress
This week atIoT Solutions World Congress,Microsoft announced a number of new Azure IoT capabilities, aimed to simplify the customer journey and deliver highly secured IoT solutions, of interest to hardware manufacturers and designers. API supportfor extending IoT Central or integrating it with other solutions, including API support for device modeling, provisioning, lifecycle management, operations and data querying IoT Edge support, including management for edge devices and IoT Edge module deployments IoT plug-and-play supportfor rapid device development and connectivity Azure RTOS support across many Renesas MCUs (MicroController Units) families For more details, and the full list of exciting announcements, read Sam George's (Corporate VP of Azure IoT) full blog post - Unlocking opportunities in the next frontier of IoT If you are looking for more information on the many solutions Microsoft has for IoT and the Intelligent Edge, check out the Intelligent Edge Resource Center and the AI@Edge Community sites!Security: Qualcomm and Microsoft cooperate on a new cellular chip incorporating Azure Sphere
Security in the IoT and Intelligent Edge hardware projects is becoming the highest priority item to close during the hardware planning phase. Devices incorporating cellular technologies have a higher security concern than others. At Qualcomm's 5G Summit in Barcelona, Spain (October 15th), Qualcomm announced it is developing the first cellular chip optimized and certified for Azure Sphere. The chipset for IoT will include hardware-level security, pre-configured with Azure Sphere and automatically connecting to Azure Sphere security cloud services. Read the complete release from Qualcomm and watch for further details coming later. Qualcomm Technologies to Enhance Secure Cellular Connectivity Solutions with Microsoft Azure Sphere for the IoTHands-on: Learn how to deliver OTA firmware updates with Azure IoT Hub
IoT and intelligent Edge devices deployed in the field sometimes require firmware updates to improve security or resilience. It is often impractical to physically visit every single device and manually apply new firmware, not to mention time consuming. Azure IoT Hub offers an automatic device management feature to help you roll out updates quickly and easily over the air (OTA). You can get familiar with how this is done by using an MXChip IoT DevKitby following the tutorial in GitHubUpdate IoT DevKit firmware OTA (Over-the-Air) through Azure IoT Hub Automatic Device Management. If you already have an MXChip IoT DevKit, give it a try today! If you need one, purchase a DevKit from SeeedStudio.ONNX Runtime 0.5 releases with support for hardware optimized inferencing
If you are creating an Intelligent Edge project that uses vision machine learning models in the ONNX (Open Neural Network eXchange) format, the recent ONNX Runtime 0.5 release provides support and tutorials for using theNVIDIDA Jetson Nano and Intel's OpenVINO Toolkitfor hardware-based optimization. ONNX Runtimeis a performance-focused complete scoring engine for Open Neural Network Exchange (ONNX) models, with an open extensible architecture to continually address the latest developments in AI and Deep Learning. ONNX Runtime stays up to date with the ONNX standard with complete implementation ofallONNX operators, and supports all ONNX releases (1.2+) with both future and backwards compatibility. Please refer tothis pagefor ONNX opset compatibility details. ONNXis an interoperable format for machine learning models supported by various ML and DNN frameworks and tools. The universal format makes it easier to interoperate between frameworks and maximize the reach of hardware optimization investments. Read the complete blog announcement on the Microsoft Open Source Blog - Now available: ONNX Runtime 0.5 with support for edge hardware acceleration Additional Resources - Microsoft Open Source Blog ONNX Runtime GitHub repo Intel Distribution of OpenVINO Toolkit NVidia Jetson Nano ONNX Find more resources for Intelligent Edge device builders at theIntelligent Edge Device Builder Resource Center.
