Driver Drowsiness Alert Using Machine Learning

Human error-related traffic accidents result in an increasing number of fatalities and injuries worldwide each year. It has been determined that driving when fatigued is a major contributor to auto accidents. Growing weariness has been shown to impair driving performance, and the collisions that result from this impairment account for more than 20% of all motor accidents. The goal of the driver drowsiness detection system is to increase road safety by reducing the frequency of accidents caused by sleepy drivers. Accidents caused by tiredness have increased recently. Many facial expressions, such as fatigue in the eyes, can be used to detect drowsiness. The suggested device watches the driver's eyes and uses a webcam pointed directly at the driver's face to identify signs of fatigue. A warning signal is issued to the driver to alert them when drowsiness is detected.