Creation of a Mask Detection model running on the edge with Azure AI Dev Kit
- Creation of a custom vision model using Microsoft customvision.ai (https://www.customvision.ai)
- Saving the AI Dev Kit custom vision model into an Azure blob Storage.
- Adding the location of the custom vision model into the Azure Edge device configuration.
- Then you can use our video camera with the new custom vision model running directly on the EDGE in order to detect mask or no mask attributes from a video stream.
Presentation
https://github.com/retkowsky/MaskDetection/blob/master/Mask%20Detection%20with%20Azure%20AI.pdf
Microsoft Custom Vision.ai interface
More information about AI Dev Kit
https://azure.github.io/Vision-AI-DevKit-Pages/
AI@Edge community pages
https://microsoft.github.io/ai-at-edge/
Additional demo
https://github.com/Azure-Samples/IoTDemos/tree/master/WorkplaceHealthAndSafetyDemo
More information about Azure ML for Data Science
https://docs.microsoft.com/en-us/azure/machine-learning/
Azure IoT Hub
https://docs.microsoft.com/en-us/azure/iot-hub/
Intelligent Edge device
https://azure.microsoft.com/en-us/overview/future-of-cloud/
Thanks to Laurent Maymard - IoT GBB (laurent.maymard@microsoft.com) - for his Azure IOT & Edge expertise.
Serge Retkowsky
serge.retkowsky@microsoft.com
https://www.linkedin.com/in/serger/
https://www.youtube.com/channel/UCiqfuuwDAFJGtOw_LTAtbFg