Study On Driving Fatigue Recognition And Its DSP Implementation

According to the Department of Transportation for road traffic accident mortality statistics, China has for several consecutive years ranked No. 1. Driver fatigue driving is a traffic accident caused by an important reason. Therefore driving fatigue detection and effective ways to monitor and prevent driver fatigue driving, reducing traffic accidents, have great practical significance.This paper introduces the driving fatigue of the status and focus on the eye fatigue mechanism, fromtheFederal Highway Authority.(Federal HighwayAdministra tion) The study of fatigue driving literature, discussed PERCLOS (percentage of eyelid closure over the pupil over time) and other eye - dynamic measurement of the effectiveness, proved theoretically PERCLOS measurement is the best vehicle driving fatigue, This paper therefore choose PERCLOS driver fatigue as a basis for judgment.Secondly, the paper detailed analysis of the current eye fatigue detection method of key technical and difficult, Digital image processing completed on the basis of real-time face detection and tracking eye positioning algorithm, Gray introduced as a means of image processing, gray system theory and the basic idea of some important definitions, theorem for a more in-depth presentations and deduced, Based on the forecast model gray and gray forecasting model based on the non-linear image filter design methods. Use AGO data generation and GM (1,1) model, design a filter algorithm and associated gray edge detection algorithm, and the proof of theory and simulation.Finally fatigue detection algorithm large data volume, high-speed transmission, complex operation to the actual needs and building a CCD, TMS320C6416, SAA7115, SAA7105 chip components such as the Video Acquisition System. Design of a vehicle, non-contact, Real-time driving fatigue detection system-DSP-based real-time driving fatigue detection system.