Driver Drowsiness Detection, Alcohol Detection and Accidents Prevention

Driver's drowsiness is the main reason for vehicular accidents. Drowsy driving is the form of impaired driving that continuously affects a person's ability to drive safely. Continuous restless driving for longer time may result in drowsiness and cause accidents. In this study, a collaborative system is build which assist the user and identifies his/her state while driving in order to improve safety by preventing accidents. Based on grayscale image processing, the position of the driver's face and his/her head movement is analysed. The driver's state identification also includes the detection of alcohol consumption with the help of sensors.