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 publicationProceedings of SPIE - The International Society for Optical Engineering
    Volume7546
    DOIs
    Publication statusPublished - 2010
    Event2nd International Conference on Digital Image Processing - Singapore
    Duration: 26 Feb 201028 Feb 2010

    Other

    Other2nd International Conference on Digital Image Processing
    CitySingapore
    Period26/2/1028/2/10

    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

    ASJC Scopus subject areas

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

    Cite this

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

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

    Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7546 2010. 754614.

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

    Islam, SZ, Mohd Ali, MA, Bin Jidin, R & Islam, SZ 2010, Embedded system based driver drowsiness detection system. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 7546, 754614, 2nd International Conference on Digital Image Processing, Singapore, 26/2/10. https://doi.org/10.1117/12.856005
    Islam SZ, Mohd Ali MA, Bin Jidin R, Islam SZ. Embedded system based driver drowsiness detection system. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7546. 2010. 754614 https://doi.org/10.1117/12.856005
    Islam, Syed Zahidul ; Mohd Ali, Mohd Alauddin ; Bin Jidin, Razali ; Islam, Syed Zahurul. / Embedded system based driver drowsiness detection system. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7546 2010.
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