Accident Avoiding and Monitoring Using Open CV

Abstract

These days, one of the main factors contributing to the majority of accidents worldwide is driver fatigue. Identifying driver eye fatigue is the most straightforward method of gauging driver sleepiness. The methods now in use in the literature are yielding findings that are somewhat less accurate because of low image and video clarity, which might be caused by differences in camera placements. This research proposes a driver drowsiness detection system that uses eye blink counts to identify tiredness as a solution to this problem. The motorist is alerted with a vibrator signal when their eyes are identified to be closed for an extended period of time. The suggested system performs well in terms of accurate sleepiness detection findings and thereby lowers the number of traffic accidents, as demonstrated by the testing results. The system is deployed on an Open CV environment with a single camera view.