Driver Drowsiness Detection System

Drowsy drivers cause several accidents every year. It's a major contributor to vehicular mishaps in the modern era. According to recent data, driver fatigue is a leading cause of accidents. Thousands of people lose their lives every year in vehicle accidents brought on by sleepy drivers. Drowsiness contributes to almost 30% of all accidents. A system that can detect driver fatigue and provide an alarm in time to avert an accident is essential. In this study, we provide a method for identifying sleepy drivers. In this system, the driver is constantly watched over by a camera. The driver's face and eyes are the primary targets of the image processing used in this model. The device takes a picture of the driver's face and uses eye tracking data to guess when he or she will blink. To quantify perclos, we use an algorithm to follow and analyse the driver's face and eyes. A warning tone is played if the blink rate is too high