Image recognition
We’re going to train our Raspberry Pi to identify other Raspberry Pis (or other objects) with machine learning (ML). Why is this important? An example of an industrial application for this type of ML is identifying defects in circuit boards. As circuit boards exit the assembly line, a machine can be trained to identify a defective circuit board for troubleshooting by a human.
Tom’s Hardware has some neat machine learning and artificial intelligence tutorials, including facial recognition and face mask identification. In those projects, all of the training images were stored locally on the Raspberry Pi and the model training took a long time because it was also performed on the Pi. In this tutorial,
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