This project focused on applying AI to digital machining.
We integrated vibration/accelerometer, acoustic emission, and spindle current signals from CNC machines to build a predictive model. Using Python and edge deployment via Azure IoT, the solution performs on-device anomaly detection and sends alerts to the edge/cloud dashboard.
The result: improved uptime, early detection of tool breakage, and smarter process monitoring — all without interrupting production.