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Real Time Drowsy Driver Detection Using Haarcascade Samples

Authors

Suryaprasad J, Sandesh D, Saraswathi V, Swathi D and Manjunath S, PES Institute of Technology-South Campus, India

Abstract

With the growth in population, the occurrence of automobile accidents has also seen an increase. A detailed analysis shows that, around half million accidents occur in a year , in India alone. Further , around 60% of these accidents are caused due to driver fatigue. Driver fatigue affects the driving ability in the following 3 areas, a) It impairs coordination, b) It causes longer reaction times, and, c)It impairs judgment. Through this paper, we provide a real time monitoring system using image processing, face/eye detection techniques. Further, to ensure real-time computation, Haarcascade samples are used to differentiate between an eye blink and drowsy/fatigue detection.

Keywords

Face detection, Eye Detection, Real-time system, Haarcascade, Drowsy driver detection, Image Processing, Image Acquisition .

Full Text  Volume 3, Number 8