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This paper proposes a new approach to help the drowsy drivers on the roads by developing a real time computerized system which has the ability to detect the face and to know the status of the eyes, if the eyes are closed the system strikes out an alarm to alert the driver. We used PCA and skin tone for face detection. For eye detection we used edge detection, wavelets transform and YCbCr transformation...
This paper proposes a new approach to detect the eyes opening state for the purpose of alarming drowsy drivers on highroads. The input image frame is processed in successive steps using a combination of algorithms, namely wavelets transform, edge detection and YCbCr transform. The algorithm performs well, regardless the size of the image and is immune to distracting noises, high luminance, and background...
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