In the world of AI and machine learning, cameras play a big role in data collection and inference. However, a significant section of industrial automation still relies on non-image sensors such as accelerometers, IMUs, and pressure sensors. These sensors typically generate time series data, which can be used to detect patterns, predict failures, and optimize performance.
This is a companion discussion topic for the original entry at https://www.edgeimpulse.com/blog/detecting-anomalies-in-industrial-motors-using-edge-impulse-and-nordic-thingy-53