Problem
Industrial equipment failures cause costly downtime with no early warning system for vibration and visual anomalies.
Solution
Built a real-time monitoring system using ESP32 and sensors, computer vision with Eulerian Video Magnification, and sensor fusion to detect equipment degradation before failure.
Impact
Enables proactive maintenance with real-time anomaly detection, reducing unplanned downtime and maintenance costs.
Architecture