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Implementation of A Safe Driving Assistance System and Doze Detection  

Song, Hyok (Korean Electronics Technology Institute)
Choi, Jin-Mo (Korean Electronics Technology Institute)
Lee, Chul-Dong (Korean Electronics Technology Institute)
Choi, Byeong-Ho (Korean Electronics Technology Institute)
Yoo, Ji-Sang (Kwangwoon University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.49, no.3, 2012 , pp. 30-39 More about this Journal
Abstract
In this paper, a safe driving assistance system is proposed by detecting the status of driver's doze based on face and eye detection. By the level of the fatigue, safe driving system alarms or set the seatbelt on vibration. To reduce the effect of backward light and too strong solar light which cause a decrease of face and eye detection rate and false fatigue detection, post processing techniques like image equalization are used. Haar transform and PCA are used for face detection. By using the statistic of the face and eye structural ratio of normal Koreans, we can reduce the eye candidate area in the face, which results in reduction of the computational load. We also propose a new eye status detection algorithm based on Hough transform and eye width-height ratio, which are used to detect eye's blinking status which decides doze level by measuring the blinking period. The system alarms and operates seatbelt on vibration through controller area network(CAN) when the driver's doze level is detected. In this paper, four algorithms are implemented and proposed algorithm is made based on the probability model and we achieves 84.88% of correct detection rate through indoor and in-car environment experiments. And also we achieves 69.81% of detection rate which is better result than that of other algorithms using IR camera.
Keywords
졸음검출;얼굴검출;안전운전시스템;눈상태검출;
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