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.
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.
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