Research Of Diver's Fatigue State Detection Method And Its Embedded Implementation

As the increasing number of traffic accidents due to drivers'fatigue, the detection of drivers'fatigue has become one of the most important subjects in the vehicle management department. How to detect the drivers'fatigue conditions effectively has become a hot topic in the field of vehicle safety. In this paper, the algorithms related with the detection of drivers'fatigue are studied. A detection system on drivers'fatigue is designed and implemented by using the platform of TMS320DM6437 which is produced by TI Co.U.S.Now, many researchers have focused on monitoring the driver's face, eye, pupil and so on to obtain his/her face rotation and orientation, eye activities, eye blinking rate, gaze direction, finally to determine his/her fatigue or distraction state. This drivers' fatigue system acquires the images through a CCD camera of vehicles and do the real-time processing on TMS320DM6437 EVM which is a high-efficiency digital video developing board. Each frame of images is analyzed using the image processing algorithms to achieve location of faces and eyes. Finally, based on PERCLOS algorithm a method is designed to detect driver's fatigue. Experimental results show that this system can locate the eyes and determine fatigue condition accurately.This paper uses the tools of MATLAB and Simulink provided by Math Works Company to simulate algorithms. Algorithm model is designed by DSP modules, the sets of the fixed-point modules and image and video processing modules. The codes are generated directly which execute on hardware platform and downloaded to the developing platform for testing. As this simulation can be carried out directly on the hardware platform, it can avoid the problems which turn up in the transplant process between common computers and hardware platform, and speed up the developing process.This paper has researched on TMS320DM6437 digital video developing evaluation board, analyzed the performances of each hardware modules and systemic video devices'drivers and configured their data transmission channels; this paper has also studied on the algorithm of drivers'fatigue detection, which incompletes the functions of the location of faces and eyes and determining the state of drivers'fatigue, the algorithms are simulated and turned out after completion; this paper has made general designs of video devices'software drivers, the detecting algorithm on drivers'fatigue is achieved on the TMS320DM6437 digital video developing evaluation board, and ultimately complete the drivers'fatigue detecting system.