In this talk, we go over anomaly detection models from classical machine learning and deep learning used on embedded systems. We describe end to end pipelines used to go from data input (acoustic, sensory, vision) to anomaly scoring of devices under test, including preprocessing, inference and score calculation.

Speaker: Łukasz Grzymkowski – Arrow Electronics