Embedded system based driver drowsiness detection system

• 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

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.