Embedded system based driver drowsiness detection system

Syed Zahidul Islam, Mohd Alauddin Mohd Ali, Razali 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

Fingerprint

sleep
Embedded systems
Embedded Systems
Driver
systems-on-a-chip
Adaptive boosting
Field programmable gate arrays (FPGA)
AdaBoost
Object Detection
proportion
hardware
platforms
Cameras
cameras
Field Programmable Gate Array
intervals
Hardware
Proportion
Monitoring
Camera

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., 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
Islam, Syed Zahidul ; Mohd Ali, Mohd Alauddin ; Jidin, Razali ; Islam, Syed Zahurul. / Embedded system based driver drowsiness detection system. 2nd International Conference on Digital Image Processing. 2010. (Proceedings of SPIE - The International Society for Optical Engineering).
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Islam, SZ, Mohd Ali, MA, Jidin, R & Islam, SZ 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, 2nd International Conference on Digital Image Processing, Singapore, Singapore, 26/02/10. https://doi.org/10.1117/12.856005

Embedded system based driver drowsiness detection system. / Islam, Syed Zahidul; Mohd Ali, Mohd Alauddin; Jidin, Razali; Islam, Syed Zahurul.

2nd International Conference on Digital Image Processing. 2010. 754614 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7546).

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

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Islam SZ, Mohd Ali MA, Jidin R, Islam SZ. Embedded system based driver drowsiness detection system. In 2nd International Conference on Digital Image Processing. 2010. 754614. (Proceedings of SPIE - The International Society for Optical Engineering). https://doi.org/10.1117/12.856005