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Embedded system based driver drowsiness detection system

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 inter...

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Bibliographic Details
Main Authors: Islam S.Z., Mohd Ali M.A., Bin Jidin R.
Other Authors: 55432804400
Format: Conference paper
Published: 2023
Subjects:
Adaptive boosting
Application specific integrated circuits
Image processing
Imaging systems
Programmable logic controllers
AdaBoost algorithm
Detection performance
Driver drowsiness
Haar-like features
Non-intrusive
Object detection algorithms
PERCLOS
Processing platform
System-On-Chip
Digital image storage
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Summary: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. � 2010 Copyright SPIE - The International Society for Optical Engineering.

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