Azure custom vision object detection model run in EDGE devices

J.A.S. LAKMAL 20 Reputation points Student Ambassador
2024-06-27T17:49:27.7633333+00:00

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.

Azure AI Custom Vision
Azure AI Custom Vision
An Azure artificial intelligence service and end-to-end platform for applying computer vision to specific domains.
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  1. Vahid Ghafarpour 20,480 Reputation points
    2024-06-27T19:41:33.9533333+00:00

    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://video2.skills-academy.com/en-us/azure/iot-edge/tutorial-deploy-custom-vision?view=iotedge-1.5

    ** Please don't forget to close up the thread here by upvoting and accept it as an answer if it is helpful **

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