A Survey on Driver Drowsiness Detection System

In recent days, Driver drowsiness is one of the Major cause for most of the accidents in the world. The easiest way for measuring the drowsiness of driver is detecting the driver eye tiredness. The existing systems are providing slightly less accurate results due to low clarity in images and videos, which may result due to variations in the camera positions. In order to solve this problem, a driver drowsiness detection system is proposed in this paper, which makes use of eye blink counts for detecting the drowsiness. Specifically, the proposed framework, continuously analyzes the eye movement of the driver and alerts the driver by activating the alarm when he/she is drowsy. When the eyes are detected closed for too long time, an alarm signal is generated to warn the driver. The experimental results of the proposed system, which is implemented on Open CV with a single camera view, provides the good performance of the system in terms of accurate drowsiness detection results and thereby reduces the number of road accidents.