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Why Learning-Based Perception Fails in Industrial Products
There is a pattern that repeats across industrial product development teams that have attempted to build perception using machine learning. The system works well in the lab. It performs acceptably in early field trials. Then, six months into production, a customer reports that detection is inconsistent in one of their facilities. The environment looks slightly different from the training data. The model was never exposed to that combination of lighting, dust density, and obje
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