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Project Tag: deep learning anomalies detector

Deep-learning anomaly-detection projects: train the model on “good parts only” and let it flag anything statistically novel - useful when the defect catalogue is open-ended or constantly evolving. 3HLE deploys this on Retina A.I. alongside UR5e cells for liquid, particle, and surface-flaw applications.