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Research Of Fatigue Driving Real-time Monitoring System On DSP

Posted on:2010-07-27Degree:MasterType:Thesis
Country:ChinaCandidate:Y LiuFull Text:PDF
GTID:2178360275453382Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
Driver inattention, particularly due to fatigue, is widely considered as one of the primary causes of traffic accident, as a result, detecting out the driver's fatigue state accurately and timely, at the same giving alarm can reduce traffic accidents.The main task in the system designed in this paper is acquiring and analyze real-time data of driver's fatigue state. With the purpose of real-time feature in analysis process, the DSP experimental platform in which core processor is TMS320C6416 manufactured by TI Corporation is used as hardware system to realize the processing algorithms. In the system, the processor's clock frequency is 600MHz, the YUV422 PAL video signal is captured by color CCD, and then sent to DSP experimental platform, at last, the signal processed will be displaied in VGA.The PERCLOS method is adopted as core algorithm in fatigue state detecting. PERCLOS (percentage of eyelid closure over the public over time) detecting is method based on machine vision, this method realizes the fatigue state detecting in the way of monitoring the driver's eye state. The concrete process is shown as following: firstly, the frame difference method in motion detection and template matching method of skin color are combined in the paper to complete the driver's face detection and location; secondly, in the area where the face is located, the Hybrid Projection algorithm composed of Integral Projection Function and Differential Projection Function is used to locate the driver's eyes; thirdly the eyelid position is located by method of edge extraction algorithm, subsequently, the eye state of dirver is judged based on distance between upper eyelid and lower eyelid; finally, the embedded real-time operating system—DSP/BIOS is utilized to realize the calculation and display of driver's blink frequence in unit time. In this paper, various face and eyes detecting methods are introduced and analyzed. Through comparing the advantage and disadvantage of these methods, this paper illuminates the method choosed detaily.In order to control the system running conveniently, system achieves the communica-tion between DSP and PC through PCI interface. In PC, a control system is designed by use of VC++6.0 developing environment to send diverse messages to DSP. After receiving messages from PC, DSP realizes the requirements of message by message response functions, afterward, sends a feedback message to PC for affirming the receipt of message from PC and informing PC the message task completed. In the meaning time, the massive data exchanging between DSP and PC is implementd by use of DMA technology for saving of data processed in DSP.Through the experimental result, driver's face and eyes can be located and traced accurately, by virtue of the embedded real-time operating system—DSP/BIOS and the analysis of eye state, the blink of eyelid is calculated and displayed. At last, the system performance is judged by means of analysis of blink time recorded.
Keywords/Search Tags:DSP, DSP/BIOS, Skin-color Matching algorithm, Gray Hybrid Projection Algorithm, Data communication
PDF Full Text Request
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