Embedded system based driver drowsiness detection system

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication2nd International Conference on Digital Image Processing
DOIs
Publication statusPublished - 22 Mar 2010
Event2nd International Conference on Digital Image Processing - Singapore, Singapore
Duration: 26 Feb 201028 Feb 2010

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7546
ISSN (Print)0277-786X

Other

Other2nd International Conference on Digital Image Processing
CountrySingapore
CitySingapore
Period26/02/1028/02/10

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All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Islam, S. Z., Mohd Ali, M. A., Bin Jidin, R., & Islam, S. Z. (2010). Embedded system based driver drowsiness detection system. In 2nd International Conference on Digital Image Processing [754614] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7546). https://doi.org/10.1117/12.856005