Abstract: Drowsiness of the drivers is the main cause of accidents in the world as well as Sri Lanka. Due to lack of sleep and tiredness, drowsiness can occur while driving. The best way to avoid accidents caused by drivers’ drowsiness is to detect drowsiness of the driver and warn him before fall into sleep. To detect drowsiness many techniques like eye retina detection, facial feature recognition has been used. Here in this paper, we propose a method of detecting driver drowsiness using eye retina detection and pulse rate detection of the driver. In this report, we propose a more accurate drowsiness detection method which is a hybrid approach of eye retina detection and pulse pattern detection.
Keywords: Drowsiness, Driver, Detection.
Title: Driver’s Drowsiness Detecting and Alarming System
Author: H.M Chandrasena, D.M.J. Wickramasinghe
Journal of Computer Science and Information Technology Research
ISSN 2348-120X (online), ISSN 2348-1196 (print)
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