Driver Fatigue and Distraction Detection System
Bahaa Hussein Taher

Bahaa Hussein Taher, Department of Mathematical Science, University of Basrah, College of Science, Basrah, Iraq
Manuscript received on 15 February 2016 | Revised Manuscript received on 25 February 2016 | Manuscript Published on 28 February 2016 | PP: 108-111 | Volume-5 Issue-3, February 2016 | Retrieval Number: C4430025316/16©BEIESP
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Abstract: Driver monitoring system is a real-time system that can detect driver fatigue and distraction using image processing tools. In this paper, an algorithm is introduced for driver fatigue and distraction detection based on the relation between face and eye regions. We used the position of the face as indicator for distraction through tracking the face of the driver in the image taken by camera placed on the front upper mirror while for fatigue the eyes state was used to index sleeping situation ,the eyes state detected by the size and matching templates for opened and closed eyes .The algorithm tested laboratory and using of recorded videos and approved to be efficient in application for estimating the driver fatigue and distraction.
Keywords: Driver Monitoring System, Driver Fatigue, Distraction Detection.

Scope of the Article: System Integration