A Real Time Driver Drowsiness Detection System
Kusuma Kumari B M. Article: A Real Time Driver Drowsiness Detection System. IJCA Proceedings on International Conference on Information and Communication Technologies ICICT(7):32-34, October 2014. Full text available. BibTeX
@article{key:article,
author = {Kusuma Kumari B. M},
title = {Article: A Real Time Driver Drowsiness Detection System},
journal = {IJCA Proceedings on International Conference on Information and Communication Technologies},
year = {2014},
volume = {ICICT},
number = {7},
pages = {32-34},
month = {October},
note = {Full text available}
}
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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