BIOMETRIC OBSERVANCE OF EYE PATTERN USING ALGORITHMS AND DIGITAL IMAG E PROCESSING

2n this paper, we describe a non - intrusive vision - based system for the detection of eye pattern of driver fatigue. The system uses a color video camera that points directly towards the driver's face and monitors the driver's eyes in order to de tect micro - sleeps (short periods of sleep).The critical points at which driver fatigue related collisions happen are between 2am to 6 am and midafternoon between 2pm to 4 pm when our "circadian rhythm" or body clock is at its lowest point. If a driver persists in fighting sleep while driving the impairment level is the same as driving while over the drink drive limit. Eventually a driver will drift in and out of consciousness and experience "micro sleeps" which can last for up to 10 seconds. In this time a drive r has no control of the vehicle. Drivers can experience such a micro sleep with their eyes wide open. Biometric Observance of Eye Pattern Using Algorithms and Digital Image Processing, has been developed, using a non - intrusive machine vision based concepts . The system uses the webcam or digital camera that points directly towards the driver’s face and monitors the driver’s eyes in order to detect fatigue. In such a case when fatigue is detected, a warning signal is issued to alert the driver. This paperdesc ribes how to find the eyes, and also how to determine if the eyes are open or closed. The system deals with using information obtained for the face cropped version of the image to find the edges of the face, which narrows the area of wherethe eyes may exis t. Once the face areais found, the eyes are found by computing the circular Hough Transform. The circular Hough Transform detects the circles in the image and hence encircles the iris. In this way, the iris of the driver is continuouslymonitored and tracke d. If the circle is not detected for any fixed number of consecutive frames, then eyes are assumed to be closed. In this condition, the system draws the conclusion that the driver is falling asleep and issues a warning signal. The international statistics shows that a large number of road accidents are caused by driver fatigue. Therefore, a system that can detect oncoming driver fatigue and issue timely warning could help in preventing many accidents, and consequently save money and reduce personal sufferin g..can 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 algorithm is proposed, implemented, tested, and found working satisfactorily