Driver fatigue detection system based on DSP

Qian Wang; Fu liang Yu; Lixin Song

doi:10.1117/12.917544

15 November 2011 Driver fatigue detection system based on DSP

Qian Wang, Fu liang Yu, Lixin Song

Proceedings Volume 8335, 2012 International Workshop on Image Processing and Optical Engineering; 83351Q (2011) https://doi.org/10.1117/12.917544
Event: 2012 International Workshop on Image Processing and Optical Engineering, 2012, Harbin, China

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.

Citation Download Citation

Qian Wang, Fu liang Yu, and Lixin Song "Driver fatigue detection system based on DSP", Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 83351Q (15 November 2011); https://doi.org/10.1117/12.917544

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available