Robust driver fatigue recognition using image processing

Driver fatigue causes serious damages amongst all other road accidents. Around 20% of fatal road accidents involve driver fatigue. This paper describes a modern approach which will detect driver fatigue considering most of the fatigue symptoms. Eye closure, yawning, head tilting is the major symptoms of fatigue behavior. Inattentive vehicle movement in the road under fatigue condition is also accountable for driver fatigue. The goal of this paper is to detect these symptoms for better driving condition in the road. These symptoms are monitored by two cameras. This paper proposes a robust system where facial expressions, head tilting and lane departure for fatigue will be detected collectively. Experimental results of the proposed method are compared with the previous method. The results show good accuracy and reliable performance to avoid road accidents compared to the previous method. The proposed system is very simple and avoids any complexity.