Driver Status Monitoring

OHM driver status monitoring system can detect the driver’s head, face, and eyelid movement in real-time, and will issue warnings after detecting distraction or drowsiness during driving. Warning images and videos will be uploaded to the cloud management platform for remote supervision and risk assessment.

The system can detect various driver statuses with drowsiness or distraction such as eye closure, yawning, heading down, eyesight deviation, and phone calls. 

Leading AI algorithms combine deep learning with the traditional algorithm to enable highly accurate recognition in complex scenarios, the system can support fatigue status detection in various scenarios even when the driver is wearing a mask, hat, or (sun)glasses.