Application of Integrated AI Fatigue and Distraction Detection System in Mining Fleet Safety Management

Application of Integrated AI Fatigue and Distraction Detection System in Mining Fleet Safety Management

Summary

This project deployed an advanced safety management system for a large mining fleet in Asia, which effectively reduced the risk of driver fatigue and distraction by integrating a fatigue detection system (DMS) and a GPS tracker (MRVL). The system uses AI to monitor driving behavior (such as drowsiness and distraction) in real time, triggering sharp alarms in the cab, and transmitting alarm signals, positioning data and on-site pictures to the fleet management platform.

This project deployed an advanced safety management system for a large mining fleet in Central Asia, which effectively reduced the risk of driver fatigue and distraction by integrating a fatigue detection system (DMS) and a GPS tracker (MRVL). The system uses AI to monitor driving behavior (such as drowsiness and distraction) in real time, triggering sharp alarms in the cab, and transmitting alarm signals, positioning data and on-site pictures to the fleet management platform.