Abstract: To solve the problem of traffic accidents due to fatigue driving，we use video image processing related characteristics of fatigue analysis technology，use Adaboost face detection algorithm based on training precise positioning driver face and eye area，real-time acquisition eyes area binarization，a judging threshold value comparison method is adopted to improve the blink of an eye，and extract the AECS( Average Eyelid Closing Speed) eyelid fatigue parameters， the PEＲCLOS ( Percent of Eyelid Closure over the Pupil Time ) ， a comprehensive state of fatigue analysis，ultimately determine whether fatigue driving． The experiment results show that the precision of the face and eye detection has greatly improved，the designed software can detect the
driver's fatigue state by real time and avoid fatigue driving．

Key words: Adaboost, face detection, image preprocessing, fatigue driving