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IoT edge package on linux
I am having issues installing the IoT edge runtime on a linux debian device. I followed themicrosoft docs guideto install IoT Edge runtime and managed to install the "packages-microsoft-prod.deb". However, when I tried to run "sudo apt-get install aziot-edge defender-iot-micro-agent-edge", it gave me an error that both packages were not located. Could it be that I am still missing a resource?SolvedTiaan-SJul 14, 2022Copper Contributor942Views0likes1Comment
Grid-Eye Eval Kit bootloader
I have an issue with Grid-Eye Eval Kit (Panasonic production). I could not connect it to the PC with USB port. The PC cannot recognize it to perform the application and also COM port. I have installed USB driver, but no reaction from PC! It seems to have a bootloader on the MCU but I don't know how to solve it. Anybody has solution for this problem ? Thank you for helping me.SolvedOmidrbApr 19, 2022Copper Contributor790Views0likes1Comment
Azure Precept using more cellular data then expected
I have the Azure Precept connected to a Verizon Jetpack and i am running the object recognition demo and streaming the video to my laptop. The object detection is running on the Precept and the video stream should only be local but i am using up more then 20gb of cellular data in a few hours. What is happening? Why is so much data going out over the cellular connection? Also after i reached my 50gb limit the data seemedto be throttled and the video stream started to freezeup. It acted like the video stream was going over the cellular connection and being throttled.SolvedJerome319Nov 17, 2021Copper Contributor1.2KViews0likes2Comments
Correct way to redeploy azureeyemodule?
Dear Percept team, what is the best/easiest way to redeploy the Azure Eye module? For testing purpose and to see if I can build everything up manually again, I deletedazureeyemodule in my IoT Hub. I haven't seen this module in the marketplace and if I try to add the module using the image "mcr.microsoft.com/azureedgedevices/azureeyemodule:preload-devkit" I'd also have to add the container create options. The bindings, port forwarding etc. may be inferred by looking e.g. at this sample but I was wondering if there is a deployment manifest JSON published somewhere or what is in general the recommended way to redeploy the "standard" modules on the Percept device?Solvedchristian-vorhemusJun 23, 2021Microsoft1.2KViews1like3CommentsVision AI dev kit not working when specifying "ModelZipUrl"
Initial Setup:I got a new vision ai dev kit, set it up, updated the firmware and everything works fine. I see it detects a person and puts a box around. I also get events in IoT Hub. Problem: I build a customvision model and when I update the property "ModelZipUrl" to point to the model zip no events are generated. I tried multiple times pointing to different models (build by others that worked in the past on their visionaikit), but same result no events get generated and sent to IoT Hub. The camera is in this state even if I remove the Url and to get the camera working again and sent events to IoT Hub I have to go through updating the firmware again and resetting it. I also tried building a new image from scratch using the instructions from below, but same behavior https://github.com/microsoft/vision-ai-developer-kit/tree/master/samples/official/ai-vision-devkit-get-started Any pointers to help overcome this issue. Additional details: Firmware version adb shell cat /etc/version v0.5370_Perf Modules on IoT edge after a firmware update C:\Users\srkothal>adb shell / # docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 9bab7e3702de mcr.microsoft.com/aivision/visionsamplemodule:webstream_0.0.13-arm32v7 "npm start" 24 minutes ago Up 24 minutes WebStreamModule e19544242c5d mcr.microsoft.com/azureiotedge-hub:1.0 "/bin/sh -c 'echo \"$…" 24 minutes ago Up 24 minutes 0.0.0.0:443->443/tcp, 0.0.0.0:5671->5671/tcp, 0.0.0.0:8883->8883/tcp edgeHub df21957d2178 mcr.microsoft.com/aivision/visionsamplemodule:1.1.3-arm32v7 "python3 -u ./main.py" 24 minutes ago Up 24 minutes AIVisionDevKitGetStartedModule 88740555d71f mcr.microsoft.com/azureiotedge-agent:1.0.7.1 Example of events being sent to IoT Hub (when no value in ModelZipUrl property) send: b'\x89\x80?\xd4d\xc1' Found result object {"label": "person", "position_x": 1152.0, "width": 306.816, "id": 1, "confidence": 81, "position_y": 373.896, "height": 618.948} Confirmation[0] received for message with result = OK Properties: {} Total calls confirmed: 2 send: b'\x89\x80\xf4\x1e\xca1' send: b'\x89\x80\xe9Jc\xeb' Found result object {"label": "person", "position_x": 504.96, "width": 626.88, "id": 2, "confidence": 98, "position_y": 398.952, "height": 594.0} Confirmation[0] received for message with result = OK Properties: {} Total calls confirmed: 3 send: b'\x89\x806=\\\x03' Set the property "ModelZipUrl" in the module identity twin FYI: I tried both classification and object-detection models, like below "ModelZipUrl":"https://sridharvisionaistorage.blob.core.windows.net/hardhatmodels/hardhat-classification-model.zip" or "ModelZipUrl":"https://sridharvisionaistorage.blob.core.windows.net/hardhatmodels/hardhat-objectdetection-model.zip" The logs are like below Received twin update: {'ShowVideoOverlay': 'true', 'ObjectsOfInterest': '["hardhat","nohardhat"]', 'TimeBetweenMessagesInSeconds': 2, 'FrameRate': 30, 'VideoAnalyticsEnabled': 'true', 'Resolution': '1080P', 'ModelZipUrl': 'https://sridharvisionaistorage.blob.core.windows.net/hardhatmodels/hardhat-objectdetection-model.zip', '$version': 14, 'VideoOverlayConfig': 'inference', 'Bitrate': '1.5Mbps', 'Codec': 'AVC/H.264', 'HdmiDisplayActive': 'true', 'ShowVideoPreview': 'true'} Configuring camera_client 2020-09-19 23:02:52,819 - iotccsdk - INFO - ipcprovider - __send_request:212 - API: http://192.168.1.158:1080/overlay data {'switchStatus': False} Turning analytics off configure_overlay: inference 2020-09-19 23:02:52,854 - iotccsdk - INFO - ipcprovider - __send_request:212 - API: http://192.168.1.158:1080/overlayconfig data {'ov_start_x': 0, 'ov_type_SelectVal': 5, 'ov_height': 0, 'ov_usertext': 'Text', 'ov_color': '869007615', 'ov_position_SelectVal': 0, 'ov_width': 0, 'ov_start_y': 0} configure_overlay_state: on 2020-09-19 23:02:52,885 - iotccsdk - INFO - ipcprovider - __send_request:212 - API: http://192.168.1.158:1080/overlay data {'switchStatus': True} set_analytics_state: on 2020-09-19 23:02:52,911 - iotccsdk - INFO - ipcprovider - __send_request:212 - API: http://192.168.1.158:1080/vam data {'switchStatus': True, 'vamconfig': 'MD'} 2020-09-19 23:02:53,541 - iotccsdk - INFO - ipcprovider - __send_request:212 - API: http://192.168.1.158:1080/vam data {} 2020-09-19 23:02:53,604 - iotccsdk - INFO - camera - _get_vam_info:431 - RESPONSE: {'status': False}: 2020-09-19 23:02:53,613 - iotccsdk - INFO - camera - _get_vam_info:444 - vam url: None Send prop: {"FrameRate": 30} Send prop: {"VideoOverlayConfig": "inference"} Send prop: {"Codec": "AVC/H.264"} Send prop: {"RtspDataUrl": null} Send prop: {"RtspVideoUrl": "rtsp://192.168.1.158:8900/live"} Send prop: {"Resolution": "1080P"} Send prop: {"Bitrate": "1.5Mbps"} Send prop: {"VideoAnalyticsEnabled": true} Send prop: {"HdmiDisplayActive": true} Send prop: {"ShowVideoOverlay": true} Send prop: {"ShowVideoPreview": true} Send prop: {"SupportedBitrates": "512Kbps | 768Kbps | 1Mbps | 1.5Mbps | 2Mbps | 3Mbps | 4Mbps | 6Mbps | 8Mbps | 10Mbps | 20Mbps"} Send prop: {"SupportedConfigOverlayStyles": "text | inference"} Send prop: {"SupportedEncodingTypes": "HEVC/H.265 | AVC/H.264"} Send prop: {"SupportedFrameRates": "24 | 30"} Send prop: {"SupportedResolutions": "4K | 1080P | 720P | 480P"} Send prop: {"ModelZipUrl": "https://sridharvisionaistorage.blob.core.windows.net/hardhatmodels/hardhat-objectdetection-model.zip"} Send prop: {"TimeBetweenMessagesInSeconds": 6} Send prop: {"ObjectsOfInterest": "[\"hardhat\", \"nohardhat\"]"} Confirmation of 204 received for {"FrameRate": 30}. Confirmation of 204 received for {"VideoOverlayConfig": "inference"}. Confirmation of 204 received for {"Codec": "AVC/H.264"}. Confirmation of 204 received for {"RtspDataUrl": null}. Confirmation of 204 received for {"RtspVideoUrl": "rtsp://192.168.1.158:8900/live"}. Confirmation of 204 received for {"Resolution": "1080P"}. Confirmation of 204 received for {"Bitrate": "1.5Mbps"}. Confirmation of 204 received for {"VideoAnalyticsEnabled": true}. Confirmation of 204 received for {"HdmiDisplayActive": true}. Confirmation of 204 received for {"ShowVideoOverlay": true}. Confirmation of 204 received for {"ShowVideoPreview": true}. Confirmation of 204 received for {"SupportedBitrates": "512Kbps | 768Kbps | 1Mbps | 1.5Mbps | 2Mbps | 3Mbps | 4Mbps | 6Mbps | 8Mbps | 10Mbps | 20Mbps"}. Confirmation of 204 received for {"SupportedConfigOverlayStyles": "text | inference"}. Confirmation of 204 received for {"SupportedEncodingTypes": "HEVC/H.265 | AVC/H.264"}. Confirmation of 204 received for {"SupportedFrameRates": "24 | 30"}. Confirmation of 204 received for {"SupportedResolutions": "4K | 1080P | 720P | 480P"}. Confirmation of 204 received for {"ModelZipUrl": "https://sridharvisionaistorage.blob.core.windows.net/hardhatmodels/hardhat-objectdetection-model.zip"}. Confirmation of 204 received for {"TimeBetweenMessagesInSeconds": 6}. Confirmation of 204 received for {"ObjectsOfInterest": "[\"hardhat\", \"nohardhat\"]"}. Confirmation of 204 received for {"FrameRate": 30}. Confirmation of 204 received for {"VideoOverlayConfig": "inference"}. Confirmation of 204 received for {"Codec": "AVC/H.264"}. Confirmation of 204 received for {"RtspDataUrl": null}. Confirmation of 204 received for {"RtspVideoUrl": "rtsp://192.168.1.158:8900/live"}. Confirmation of 204 received for {"Resolution": "1080P"}. Confirmation of 204 received for {"Bitrate": "1.5Mbps"}. Confirmation of 204 received for {"VideoAnalyticsEnabled": true}. Confirmation of 204 received for {"HdmiDisplayActive": true}. Confirmation of 204 received for {"ShowVideoOverlay": true}. Confirmation of 204 received for {"ShowVideoPreview": true}. Confirmation of 204 received for {"SupportedBitrates": "512Kbps | 768Kbps | 1Mbps | 1.5Mbps | 2Mbps | 3Mbps | 4Mbps | 6Mbps | 8Mbps | 10Mbps | 20Mbps"}. Confirmation of 204 received for {"SupportedConfigOverlayStyles": "text | inference"}. Confirmation of 204 received for {"SupportedEncodingTypes": "HEVC/H.265 | AVC/H.264"}. Confirmation of 204 received for {"SupportedFrameRates": "24 | 30"}. Confirmation of 204 received for {"SupportedResolutions": "4K | 1080P | 720P | 480P"}. Confirmation of 204 received for {"ModelZipUrl": "https://sridharvisionaistorage.blob.core.windows.net/hardhatmodels/hardhat-objectdetection-model.zip"}. Confirmation of 204 received for {"TimeBetweenMessagesInSeconds": 6}. Confirmation of 204 received for {"ObjectsOfInterest": "[\"hardhat\", \"nohardhat\"]"}. send: b'\x89\x80C\x1c\xaa\xba' send: b'\x89\x80\xe4M\xa7\xb1' send: b'\x89\x80\x88L\xd7\xb3' send: b'\x89\x80N,u\xb8' send: b'\x89\x80D\xa1\x99E' send: b'\x89\x80\x84\x9aX4' send: b'\x89\x80\xef\x15\xbd\xbb' send: b'\x89\x80e\x1f\xf8!' send: b'\x89\x80\x1b\x0cA\xa0' send: b'\x89\x80\x0e\x8c\r\x1b' send: b'\x89\x80\xb7\xe3\xe8\xac' send: b'\x89\x802\xb44\x10' send: b'\x89\x80\xe8\xfal\xee' send: b'\x89\x80\x1f\xfe.\xfe' send: b'\x89\x80\x16\xf4V\xae' send: b'\x89\x80\xe2\xa8\xef\xfb' send: b'\x89\x80R\x80\xd8`' send: b'\x89\x80\xd3D==' send: b'\x89\x80u0A\x08' send: b'\x89\x80\xd4c\xab]' send: b'\x89\x80\xc5\x9a\x03\x08'SolvedSridhar_KothalankaSep 20, 2020Microsoft6.1KViews0likes13Comments
Cannot open device anymore
I have azure vision ai dev kit (Peabody). I try to long press more than 12 second and the red light show up with sound click click. After that, the light gone ,so I try press again and it does not open anymore. Also, I can't see devices with adb and fastboot. What should I do?SolvedsiwajuiAug 18, 2020Copper Contributor2.2KViews0likes3CommentsChoose IoT deveice for testing: Vision AI Developer Kit vs Azure Kinect DK
Hi, We would like to buy some camera in order to practice Azure IoT, AI. In general we want to develop cases when camera films and recognizes persons, safety helmets and other. At the moment we are thinking between: Vision AI Developer Kit and Azure Kinect DK. Could you advice which one is better to buy and what advantages would be one against other? We think maybe is better to spend more money and to acquire Azure Kinect? will it make the same as Vision AI dev Kie?SolvedVaidas BražionisDec 18, 2019Copper Contributor1.1KViews0likes2CommentsVision AI Kit firmware update issues
Hi I am trying to update the firmware tov0.5280_Perf. When I run theFastbootUpgrade_v6_5.bat file I get the following output: The problem is the fastboot devices command is not returning anything after adb reboot bootloader is run. I have waited a few minutes before pressing the key to continue to give the bootloader some time but it did not help. Is there any other way I can proceed? BRSolvedkurtngNov 18, 2019Copper Contributor2.3KViews0likes7Comments
AI Camera by eInfochips restarting
Hi there, We have had a lot of trouble getting the Cognitive Services demo installed on this device (https://github.com/microsoft/vision-ai-developer-kit/tree/master/samples/research/ai-vision-devkit-cognitive-services-integration-Face-API) and unfortunately it is now restarting over-and-over. It won't stay up for more than about 5 minutes. We have deleted all of the containers off it except for the IoT Edge ones. Any clues as to what the issue may be? Also, anyone had any luck getting the device to successfully call Cognitive Services? Thinking that we might need to factory reset at this stage. Thanks, Bernard.SolvedbernardolearyOct 09, 2019Copper Contributor1.6KViews1like3Comments
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- hardware_engineering17 Topics
- IoT Edge5 Topics
- iot5 Topics
- Vision AI Dev Kit5 Topics
- Azure IoT3 Topics
- Percept2 Topics
- Devkit2 Topics
- IoT Plug and Play2 Topics
- Industrial IoT2 Topics
- IoTPlugandPlay2 Topics
