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Proceedings Paper

Driver fatigue detection system based on DSP
Author(s): Qian Wang; Fu liang Yu; Lixin Song
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Paper Abstract

To detect driver fatigue states effectively and in real time, a driver fatigue detection system was built, which take ICETEK-DM6347 module as system core, near-infrared LED as light source, and CCD camera as picture gathering device. An improved PER-NORFACE detection method combined several simple and efficient image processing algorithms was proposed, which based on principle of PERCLOS method and take the human face location as the main detection target. To ensure the ability of real-time processing, the algorithms on the DM6437 DaVinci processor were optimized. Experiments show that the system could complete the driver fatigue states detection accurately and in real time.

Paper Details

Date Published: 15 November 2011
PDF: 7 pages
Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 83351Q (15 November 2011); doi: 10.1117/12.917544
Show Author Affiliations
Qian Wang, Harbin Univ. of Science and Technology (China)
Fu liang Yu, Harbin Univ. of Science and Technology (China)
Lixin Song, Harbin Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8335:
2012 International Workshop on Image Processing and Optical Engineering
Hai Guo; Qun Ding, Editor(s)

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