#691 – System Designer Lets You Try Every Part with Michael Gielda
The Amp Hour Electronics Podcast
Innovations in Hardware Testing and Machine Learning
This chapter explores the testing of the Analog Dev Max 32, 690 EV kit, focusing on the integration of Docker with Zephyr for anomaly detection using sensor data. The speakers discuss the development of machine learning models for effective vibration detection and the ongoing need for model evaluation and retraining. Additionally, they elaborate on a simulation tool for electronics development and the significance of structured design resources in navigating hardware options.
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