Real-Time Driver Drowsiness Detection using Computer Vision

The proposed system aims to lessen the number of accidents that occur due drivers’ drowsiness and fatigue, which will in turn increase transportation safety. This is becoming a common reason for recent times. Several faces body gestures are considered such as signs fatigue drivers, including tiredness eyes yawning. These features an indication driver’s condition improper. EAR (Eye Aspect Ratio) computes ratio distances between horizontal vertical eye landmarks required detection drowsiness. For purpose yawn detection, YAWN value calculated using distance lower lip upper lip, be compared against threshold value. We have deployed eSpeak module (text speech synthesizer) used giving appropriate voice alerts when driver feeling drowsy or designed decrease rate contribute technology with goal prevent fatalities caused road accidents.