Azure custom vision object detection model run in EDGE devices

Question

I am doing azure custom vision object detection AI project for Identify objects in a high speed production line, i have trained the azure custom vision model for object identification, i need to know which hardware that i can use to run this model in edge devices and also need to get output base on the prediction result to connect with a alarming system or machine pusher , ex- Jeston Nano, Custom vision dev kit, could you please guide me with this.

Answer 1

Thanks for posting your question in the Microsoft Q&A forum.

The Jetson Nano is an excellent choice for running AI workloads at the edge.

You can set up Azure IoT Edge on a Raspberry Pi and use the SenseHat accessory for additional capabilities.

You have other devices in the Jetson family (e.g., Jetson Xavier, Jetson TX2) if you need more powerful GPUs.

This article will guide you to set it up.

https://learn.microsoft.com/en-us/azure/iot-edge/tutorial-deploy-custom-vision?view=iotedge-1.5

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