Predictive Maintenance for Auto Manufacturer
Detecting subtle mechanical failures in robotic arms before they cause catastrophic line stops.
A top-tier automotive manufacturer producing electric vehicles.
Vibration & Acoustic Sensor Array
Edge ML Anomaly Detection
Maintenance Alert Workbench
1
Costly line stoppages ($50k/minute)
2
Legacy equipment without digital outputs
3
Shortage of skilled maintenance technicians
Reduced
unplanned downtime by 75%
Extended
equipment lifespan by 3 years
ROI
achieved in under 6 months
Retrofitted legacy robots with IoT sensors and deployed edge AI models to detect wear patterns in real-time.
AWS GreengrassPythonPyTorchGrafana
