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Defect Detection Inference on Arm Cortex A from MATLAB

2,516 views · Published 13 December 2018 · 4:38 · Indexed 17 October 2026

Channel: MATLAB · 2018 · Science & Technology

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In this video, we demonstrate an industrial automation application using deep learning to classify defective parts on an assembly line in MATLAB®. MATLAB provides a complete integrated workflow for engineers and scientists to explore, prototype, and deploy deep learning algorithms in a familiar development environment with built-in higher-level apps and libraries.

- Download this example: https://bit.ly/2E23Vb8
- Resources for Deep Learning with MATLAB: https://bit.ly/2E6jNJW
- Deep Learning Prediction with ARM Compute: https://bit.ly/2E5KP3T


Using MATLAB Coder™, you can generate C++ code for the complete inference pipeline with image acquisition, pre-processing, and post-processing logic around a trained network, and deploy to any Arm Cortex A based platforms like the Raspberry Pi or HiKey 960 or NXP i.Mx family of processors, to name a few.
Get a free product Trial: https://goo.gl/ZHFb5u

Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
See What's new in MATLAB and Simulink: https://goo.gl/pgGtod

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