Drowsy Driver Assistant System
Maha Mohamed Elsabrouty, Ayman Hamdy, Abdelfattah Fawky, Syamimi Abdul-Khalil · 2007
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. The algorithm performs well regardless the face position, lighting varieties and immune to any distracting noise. The designed algorithm is able to attain 90% accuracy when it was tested on different databases.