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Reseach Article

A Real Time Driver Drowsiness Detection System

Published on July 2014 by Kusuma Kumari B.M.
International Conference on Information and Communication Technologies
Foundation of Computer Science USA
ICICT - Number 7
July 2014
Authors: Kusuma Kumari B.M.
2c137d7c-b291-4a74-9e5e-b72955fd0df0

Kusuma Kumari B.M. . A Real Time Driver Drowsiness Detection System. International Conference on Information and Communication Technologies. ICICT, 7 (July 2014), 32-34.

@article{
author = { Kusuma Kumari B.M. },
title = { A Real Time Driver Drowsiness Detection System },
journal = { International Conference on Information and Communication Technologies },
issue_date = { July 2014 },
volume = { ICICT },
number = { 7 },
month = { July },
year = { 2014 },
issn = 0975-8887,
pages = { 32-34 },
numpages = 3,
url = { /proceedings/icict/number7/18018-1480/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Information and Communication Technologies
%A Kusuma Kumari B.M.
%T A Real Time Driver Drowsiness Detection System
%J International Conference on Information and Communication Technologies
%@ 0975-8887
%V ICICT
%N 7
%P 32-34
%D 2014
%I International Journal of Computer Applications
Abstract

Driving with drowsiness is one of the main causes of traffic accidents. Driver fatigue is a significant factor in a large number of vehicle accidents. The development of technologies for detecting or preventing drowsiness at the wheel is a major challenge in the field of accident avoidance systems. Due to the hazard that drowsiness presents on the road, methods need to be developed for counteracting its affects. This paper describes a real-time non-intrusive method for detecting drowsiness of driver. It uses webcam to acquire video images of the driver. Visual features like mouth & eyes which are typically characterizing the drowsiness of the driver are extracted with the help of image processing techniques to detect drowsiness. A study about the performance of this proposal & some results are presented.

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Index Terms

Computer Science
Information Sciences

Keywords

Face Detection Eye Detection Yawn Detection Drowsy Detection