Drowsiness Detection System Using OpenCV

Drive fatigue is one of the leading causes of accidents globally and one of the most neglected aspects of road safety. In this project, the most relevant and latest techniques of machine learning are utilized for developing and deploying a robust system for sleepiness recognition. The technology seeks to monitor signs of driver tiredness in real time while there is a long-distance road or travel. The proposed approach consists of using facial feature extraction to track the driver state in conjunction with vehicle data. The system mainly consists of face detection, eye tracking, and alarm system. The efficacy of this system in decreasing drowsiness- related accidents shows what a key tool this can be for improving road safety.