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Design of Real Time Drowsiness Detection and Monitoring System

Author(s):

Ashok Kumar , NIELIT GORAKHPUR; Nishant Tripathi, NIELIT GORAKHPUR

Keywords:

Drowsiness Detection, Eye Blink Detection, Eye Tracking, Eye Monitoring, Image Processing

Abstract

This project is focused on drowsy driver detection and the objective of this project is to recognize driver’s state with high performance. Drowsy driving is one of the main reasons of traffic accidents in which many people die or get injured. There is a substantial amount of evidence that suggests that driver drowsiness plays a significant role in road accidents. Driver fatigue is the major cause of accidents in the world. Detecting the drowsiness of the driver is the surest ways of measuring the driver fatigue. The purpose of this paper is to develop a drowsiness detection system. This system works by analyzing the eye movement of the driver and alerting the driver by activating the buzzer when he/she is drowsy. The system so implemented is a nonintrusive real-time monitoring system for eye detection. During monitoring, the system is able to decide whether the eyes were opened or closed. When the eyes were detected closed for too long, a signal was issued to warn the driver. In addition, the system also has an option for making vibration when drowsiness was detected. The aim is on improving the safety of the driver without being obtrusive.

Other Details

Paper ID: IJSRDV5I51432
Published in: Volume : 5, Issue : 5
Publication Date: 01/08/2017
Page(s): 1645-1650

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