DMS 4 video output interface

Key features of a Driver Monitoring System may include:
Facial Recognition: Utilizes cameras to monitor the driver's facial features, tracking eye movements, blink rate, and head position.
Eye Tracking: Focuses on the movement and behavior of the driver's eyes, detecting signs of drowsiness or distraction.
Head and Face Position Monitoring: Monitors the orientation and position of the driver's head and face to assess attentiveness.
Gesture Recognition: Recognizes specific gestures or actions made by the driver, such as reaching for objects or interacting with controls.
Biometric Measurements: Collects biometric data, such as heart rate and skin conductance, to assess the driver's physiological state.
Voice Analysis: Listens to the driver's voice for signs of fatigue or stress.
Alert Systems: Provides warnings or alerts to the driver if signs of drowsiness or distraction are detected, promoting timely corrective action.
Driver Monitoring Systems are commonly integrated into advanced driver assistance systems (ADAS) and can contribute to improved road safety by preventing accidents caused by driver inattention or impairment. They are especially relevant in the context of emerging technologies like autonomous vehicles, where maintaining a reliable connection between the driver and the driving task is crucial.