This paper is published in Volume-4, Issue-3, 2018
Area
Image Processing
Author
A. Swathi
Org/Univ
Jawaharlal Nehru Technological University, Hyderabad, Telangana, India
Pub. Date
11 May, 2018
Paper ID
V4I3-1357
Publisher
Keywords
Driver’s fatigue, Pupil detection, Cruise control system.

Citationsacebook

IEEE
A. Swathi. Driver fatigue detection and accident preventing system, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
A. Swathi (2018). Driver fatigue detection and accident preventing system. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.

MLA
A. Swathi. "Driver fatigue detection and accident preventing system." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.

Abstract

In today’s availing conditions many traffic accidents have been occurring due to driver’s fatigue or diminished vigilance level. Driver fatigue detection based on computer vision is one of the most hopeful applications of image recognition technology. There are several factors that reflect driver's fatigue. An eye is the most important feature of the human face. In this paper, we describe a system that locates and tracks the eyes of a driver and finds drivers fatigue and turns on the adaptive cruise control system. The purpose of such a system is to perform detection of driver fatigue by mounting a small camera inside the car, we can monitor the face of the driver and look for eye-movements which indicate that the driver is no longer in condition to drive and turns on the ACCS. Finally, experiment results show that the proposed fatigue monitoring system detects driver fatigue probability more exactly and robustly and sends the signal to ACCS.
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