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Carlo Grisafi, IoT Developer Advocate at Arm, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Grisafi demonstrates real-time object tracking with OpenMV.

Grisafi demonstrates how to use MicroPython, along with a quantized TensorFlow Lite Microcontroller model, to run a cup detection program that keeps track of the number of cups in the image. The demo tracks the number of cups in an image by first using classical image processing methods on each frame prior to passing the interim results to the model to find blobs and make bounding boxes based on the blobs’ colors, shapes, widths, and heights.In this demo, you’ll learn how to create a dataset, train a model and deploy the neural network model onto the OpenMV H7 board.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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