Fatigue Detection Of Driver Using Surff Features Extraction Algorithm Based On Eye Tracking

1493 WordsOct 7, 20146 Pages
Fatigue Detection Of Driver Using Surff Feature Extraction Algorithm Based On Eye Tracking Miss.Snehal B. Meshram M.Tech(3rd sem) Department of Computer Science and Engineering G.H.Raisoni Academy Of Engineering and Technology,Nagpur,India. Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur 2014-2015 ABSTRACT: This paper describes method 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.As soon as the driver is falling in symptons of fatigue immediate message will be given to driver.In addition of the advance technology of Surff feature extraction algorithm is also added in the system for correct detection of status of driver.The Fatigue is detected in the system by the image processing method of comparing the images(frames) in the video and by using the human features we are eable to estimate the indirect way of detecting fatigue.The technique also focuses on modes of person when driving vehicle i.e awake, drowsy state or sleepy and sleep state.The system is very efficient to detect the fatigue and control the vehicle. KEYWORDS: Surff Feature Extraction algorithm, Face detection, Eye localization, Eye state recognition, Face detection. INTRODUCTION: In recent trends of development many safety techniques and methods have been developed in detection of fatigue or drowsiness in vehicles for drivers.The development of

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