Embedded system based driver drowsiness detection system

Syed Zahidul Islam; Mohd Alauddin Mohd Ali; Razali bin Jidin; Syed Zahurul Islam

doi:10.1117/12.856005

26 February 2010 Embedded system based driver drowsiness detection system

Syed Zahidul Islam, Mohd Alauddin Mohd Ali, Razali bin Jidin, Syed Zahurul Islam

Proceedings Volume 7546, Second International Conference on Digital Image Processing; 754614 (2010) https://doi.org/10.1117/12.856005
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore

Abstract

This paper presents a System-on-Chip (SoC) visual-based driver drowsiness detection system. The system is able to promptly detect the onset of driver drowsiness by monitoring in real-time the accumulated driver's PERCLOS, i.e. proportion of time driver's eyes are closed in a 1-minute interval through non-intrusive camera(s). FPGA hardware is used as its processing platform along with Viola-Jones object detection algorithm. Viola-Jones algorithm uses Haar-like features along with AdaBoost algorithm to achieve good detection performance.

Citation Download Citation

Syed Zahidul Islam, Mohd Alauddin Mohd Ali, Razali bin Jidin, and Syed Zahurul Islam "Embedded system based driver drowsiness detection system", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 754614 (26 February 2010); https://doi.org/10.1117/12.856005

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