Abstract: In order to avoid accident caused by fatigue, the system is designed to monitor driver‘’s fatigue based on human eye image recognition technology. A process to determine the degree of fatigue with image information is designed. First directly locate human eye via Viola-Jones algorithm, then get width-to-length ratio Q of human eyes, and finally established a correlation model of Q and fatigue. As experiment shows, the proposed eye-locating method with capability of different head postures runs more than 50% much faster than conventional ways; the established “Q-eye open level冶model has good linearity with adaptation to different drivers. Real driving environment is simulated for testing, the system can give alarms when driver‘’s fatigue is detected within 1 second, which bestows a place in the field of anti-fatigue safe driving applications.

Key words: safe driving, image processing, Viola-Jones algorithm, fatigued driving, eye recognition