Real Time Driver Drowsiness Monitoring System by Eye Tracking Using Mean Shift Algorithm

Abstract

The incessant occurrence of Vehicle accident has become a common scene in our traveling path. Every year many people being stricken, many of them losses their lives and a huge amount of property extermination being occurred because of vehicular misadventure. According to analysis reports on road accidents of recent years, it’s renowned that the main cause of road accidents resulting in deaths, severe injuries and monetary losses, is due to a drowsy or a sleepy driver. Drowsy state may be caused by lack of sleep, medication, drugs or driving continuously for long time period. But this sloppiness can bring preponderant torments in a victim’s life since it causes fatal damages of lives and properties. So in order to slenderize vehicle accidents it is essential to research an innovative technological system for prefiguring the occurrence of an accident on the basis of drivers’ drowsiness and distraction. The aim of our work is to Figure a system which will monitor driver’s drowsiness and distraction level based on eye tracking. A comparison has been made between the proposed method and other method. It has been shown that proposed method gives better accuracy than others.