Development of an intelligent drowsiness detection system for drivers using image processing technique

• Main Authors: Suhaiman, A.A., May, Z., Rahman, N.A.A.
• Format: Conference or Workshop Item
• Published: Institute of Electrical and Electronics Engineers Inc. 2020
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097788418&doi=10.1109%2fSCOReD50371.2020.9250948&partnerID=40&md5=1f913578340b2c506ff63cb7362817c3; http://eprints.utp.edu.my/29960/
• Institution: Universiti Teknologi Petronas

Drowsy driving highly contributes to a number of road accidents throughout the years. Car crashes or any unwanted incidents can be avoided by implementing a system with alarm output to alert drowsy drivers to focus on the road. An intelligent system is developed to detect driver drowsiness and trigg...