11.00 – 11.25

* This presentation is in English *

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

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