The Driver Fatigue Monitoring System Based On Adaboost Algorithm

The driver fatigue monitoring system is a technology which analyzes the face image by the computer, withdraws the effective characteristic information, and then distinguishes the specific condition of driver. Along with the rapid development of computer technology, the human face detection technology already applied to many domains. This paper mainly research the method that how to apply the human face detection technology in the human face sleepiness monitor. According to the monitor result, the system gives the state of fatigue early, warns promptly, and reduces the probability of the traffic accident caused by weariness.After reading and studying present paper refers to the domestic and foreign existing literature material, a new evaluation driving fatigue method was proposed. Through the researches to Adaboost algorithm applying in dynamic person aspect on face recognition, and real-time pedestrian examination discovered that, Adaboost algorithm may satisfy the non-contact and the real-time characteristic well. Thus a driver fatigue monitoring system based on Adaboost algorithm is proposed.Considered the stability, the low power loss and the real-time characteristic of vehicle system, this article chooses the on-board series-TM5800, the basic frequency 733MHz CPU veneer computer and reads, writes speed in the millisecond rank technical grade DOM(Disk On Module), builds hardware platform of the system. Run the system in this platform, this fatigue monitor system analyzed the driver condition from each image according to the fatigue evaluation method, and judged whether the driver is weary, and alarm when fatigue.