Driver Drowsiness Detection Using Viola Jones Algorithm

Abstract

Monitoring a driver to detect his distraction is a complex problem that involves physiological and behavioral elements. In order to solve this problem a constant detection system for monitoring driver’s eye movement is to be monitored. Initially, driver’s face is first located in the input video sequence which is then tracked over the subsequent eye movements of the driver are constantly traced. Using Viola and Jones face detection algorithm the sequence of images are trained and classified in such a way that a warning alarm is buzzed if the eyes are constantly closed for a predetermined period amount of time. Hence this reduces the rate of traffic accidents occurring these days. Future work is on how to extend the system to determine the level of vigilance of the driver.