Fatigue Detection of Driver Using Surff Feature Extraction Algorithm Based On Eye Tracking

This paper aims to provide reliable indications of driver drowsiness describe of detecting early signs of  fatigue in drivers and  provide method for more security and attention for driver safety problem and to investigate driver mental state related to driver safety. When the driver is getting drowsy that time immediate message will be given to the driver. In addition of the advance technology Surff feature extraction algorithm is added in the system that will help to give the correct status and detection of driver. Image processing method is using in the system which will be use for comparing the images (frames) in the video and the human features we are able to create an indirect way of fatigue detection..The other techniques are also focuse on modes of person when the driver driving the vehicle i.e awake state, drowsy state or sleepy state. The Proposed method is very important and efficient that gives the various techniques to control vehicle and detect fatigue of driver.