Dissertation > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Data processing, data processing system > Centralized testing and roving detection system

Research of Real-time Driver Fatigue Detection System Based on ADSP-BF533

Author ShaoWenJian
Tutor GuoWanYou
School Xi'an University of Electronic Science and Technology
Course Circuits and Systems
Keywords ADSP-BF533 PERCLOS Kalman Face Detection Eye Location
CLC TP274.4
Type Master's thesis
Year 2009
Downloads 157
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Driver fatigue driving detection system is an important part of the active safety warning systems . Study how effective driver fatigue detection to reduce traffic accidents has a very important practical significance . With the rapid development of DSP technology , face recognition technology has been widely used , and the papers of face recognition theory based on a driver's eye condition monitoring system based on the ADSP-BF533 , the system according to PERCLOS Physiologica judging principle, to determine the fatigue state of the driver . This paper describes the status quo of research on driver fatigue at home and abroad , focus on eyes closed fatigue evaluation methods - PERCLOS . Comprehensive analysis of the face detection algorithm based on face detection method based on skin color segmentation and positioning . Taking into account the complexity of the human face detection , face region tracking forecast choice of the Kalman filter . Eye positioning , gray integral projection method to achieve eye location . On the hardware design , the choice of the ADI's ADSP-BF533 chip build the hardware platform , including video capture module , LCD module , video storage module , keyboard , and voice warning module . The experiment proved that the system is capable of more accurate real-time detection of driver fatigue . The system selects the ADSP-BF533 fully embody the core processing chip miniaturization, high efficiency , integrated design requirements . Optimize the design of face tracking and detection , DSP program has made some improvements and further research direction .

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