Annu George Mavely, J. E. Judith, P. A. Sahal, Steffy Ann Kuruvilla
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Eye Gaze Tracking is a technique that involves tracking a person's eye gaze using either contact and invasive hardware, or expensive and non-standard hardware. In this paper a driver monitoring system using eye gaze technique is introduced. In this method, the first step is the tracking of human face from a real time video sequence to locate the eye region and to determine the number of times the user blinks his/her eye. The main focus is to use this eye gaze tracking system to detect the drowsiness of the driver while driving thereby reducing the number of automobile accidents happening day by day. It was implemented in raspberry pi board in order to create a more convenient portable system. If the blinks takes more time than 2 seconds driver's drowsiness is detected and the driver is alerted by audio and steering vibration warning.
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