Driver Drowsiness Detection Using Machine Learning

Abstract

Abstract: Now-a-days many of the road accidents occurring because of driver drowsiness. It is one of the major causes of vehicle accidents. So, prevention of this fatigue related accidents an intelligent system is need to be developed. The main idea of this project is to develop a robust system that will detects the driver fatigue and alerts the driver and saves the lives. In this project, we present a scheme for drowsiness detection. In this model, driver is continuously monitored through webcam or camera. And we used OpenCV for extracting the driver face from continuous image frames of the camera. This model mainly focuses on the Region of interest (ROI) i.e., eyes as it is the important factor to detect drowsiness. We used an algorithm to track and analyze the blinking rate of the eyes. If the eyes are closed in more than two frames then model will detect as driver is drowsy and alerts the driver by playing alarm sound.