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Study of Driver Fatigue Based on Vision Detection System

Author: ZuoHongYan
Tutor: YuanZuoZuo
School: Shenyang University of Technology
Course: Precision instruments and machinery
Keywords: Visual inspection system DM6437 The fatigue determination threshold value Sampling rate
CLC: TP391.41
Type: Master's thesis
Year: 2012
Downloads: 37
Quote: 0
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Abstract


With the improvement of living standards , the increasing demand for cars that ensued traffic safety issues become one of the hot topics that people are concerned about attracting much attention , especially in traffic accidents caused by driver fatigue . Fatigue affect the driving behavior of the driver , car collisions cause , therefore , many research institutions active in Ministry on driver fatigue detection and prevention . The DM6437 the core devices designed machine vision detection system using the development board , diodes , filters , image sensor , such as a series of components to build the hardware platform . Complete image acquisition , image processing , voice prompts , and video display function module programming system software . The computer debugging emulator connected to the development board , after writing the program to the DM6437 's FLAsH in the formation of an independent testing system from the emulator . Image acquisition module of the system software , the use of a single annular 850nm near-infrared LED light source, the light source is activated by the control I) M6437 GPl0 port . The image processing module is the core module of the visual inspection system , face detection, eye location and eye feature parameter extraction . The first principle based on wavelet transform image scaling, reducing the amount of data to be processed , then using coarse- to-fine positioning ideological positioning of the eyes , and improve the accuracy of the positioning . Head contour information using background subtraction method , the differential Figure subtract background binary integral projection of the vertical and horizontal directions , the binary image to determine a face . Within the search area of the eye according to the characteristics of the geometric distribution of the facial features , the vertical and horizontal direction of the differential projection to determine the center of the eye , mapping by the coordinate values ??, to extract the maximum distance between the values ??in the eyelid . Analyzing the video image sequences of the eye , application PERcL0s fatigue evaluation principle the degree of eye fatigue determination , research fatigue to determine the relationship between the threshold value with the sampling rate , through the the laboratory six test data show that when PERcL0s value in the vicinity of 15% , more obvious signs of fatigue , the sampling time interval is less than 120ms to meet real-time requirements , the a larger sampling the interval affects PERcL0s value , thus affecting the result of the determination .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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