Research Article Open Access

Driver’s drowsiness detection using eye status to improve the road safety

Abstract

In recent years, we have used many technologies to detect the drowsiness of a driver in the field of accident avoidance system [1]-[3]. To develop such a system we need to install some hardware components like camera inside the car, which can capture the image of the driver at a fixed interval, and an alarm system, which will alert the driver after detecting his/her level of drowsiness. Now apart from these hardware components, we need a software part also, which can detect the level of drowsiness of the driver and is the main concern of our paper. It is believed that, driver’s fatigue can be easily detected by monitoring the eye status [5] [7], which is either ‘open’ or ‘closed’. In this paper, we develop a drowsiness detection system that will accurately monitor the open or closed state of the driver’s eyes in real-time.

Mr. Susanta Podder Mrs. Sunita Roy

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