Real-Time Detection of Driver Fatigue using DIP
Suvarna Pathade1, Vinaya Gohokar2
1Ms. Suvarna Pathade, Department of Electronics & Telecommunication Engg., Amravati University, S.S.G.M.C.E, Shegaon (Maharashtra), India.
2Dr. Vinaya Gohokar, Department of Electronics & Telecommunication Engg., Amravati University, S.S.G.M.C.E, Shegaon (Maharashtra), India.
Manuscript received on 18 August 2012 | Revised Manuscript received on 25 August 2012 | Manuscript published on 30 August 2012 | PP: 1-6 | Volume-1 Issue-3, August 2012 | Retrieval Number: B0245061312/2012©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A Drowsy Driver Detection System has been developed, based on eye features detection algorithm and using a computer vision based concepts. The system uses a small monochrome security camera that points directly towards the driver’s face and monitors the driver’s eye and head movement in order to detect fatigue. The system deals with using information obtained for the binary version of the image to find the edges of the face, which narrows the area of where the eyes may exist. Once the face area is found, the eyes are found by computing the horizontal averages in the area. Once the accurate eyes are located, measuring the distances between the intensity changes in the eye area determine whether the eyes are open or closed. If the eyes are found closed for 5 consecutive frames, the system draws the conclusion that the driver is falling asleep and issues a warning signal. The system is also able to detect when the eyes cannot be found, and works under reasonable lighting conditions.
Keywords: Drowsiness Detection, Drowsy Driving, Sleeps Deprivation, Opening and Closing.
Scope of the Article: Real-Time Information Systems