This project demonstrates the successful implementation of a Vision AI DevKit device provisioning itself with Azure IoT Central services to enable the live reporting of telemetry, state, events, and settings with the ability to manually control the ML model. This project can be considered a proof of concept of IoT Edge device's integration with IoT Central before IoT Central officially supports IoT Edge devices.
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Implementation
This project is implemented as a NodeJS micro service and React Web client. The web client allows the user to interact directly with the device to control it as well as experiment with Custom Vision AI models.
This project has potential for BLANK industries; for example, the use of IoT Central with the Vision AI DevKit camera can be used to BLANK to ensure BLANK.
Software and Services used
Hardware
Azure IoT Central
Visual Studio Code
NodeJS 10x (with NPM)
Android Debug Bridge (ADB) tools
Vision AI DevKit camera
Repository
Find more information and relevant code here: Github.
Future Improvements and Project Suggestions
<add thoughts and ideas in terms of how "community" could develop these assets further to add functionality/application to project>
About the Creator
Scott Seiber is ... <add a short bio about your experience and interests, why you are working on this project>
You can learn more about what Scott is working on here.
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