Driver’s Drowsiness Detection System A real-time driver monitoring system that detects drowsiness by analyzing eye closure (using Eye Aspect Ratio) and head tilt angle via facial landmarks. When signs ...

Driver monitoring is essential as the main reasons for motor vehical accidents is related to driver's inattention or drowsiness. Drowsiness can cause serious road accidents resulting into a threat to ...

In this paper, an automated vision-based system for real-time prediction of driver drowsiness or fatigue is presented, in which multiple visual ocular features such as eye closure, eyebrow shape, eye ...

New anti-sleep algorithm detects driver drowsiness in real-time: A game-changer for road safety The study presents a sophisticated methodology for detecting driver fatigue using convolutional neural ...

This project aims to develop a real-time driver drowsiness detection system using OpenCV. The system will monitor a driver's face and detect signs of drowsiness, such as blinking or yawning, to ...

Drowsiness and fatigue of drivers are amongst the significant causes of road accidents. Every year, this factor increases the amounts of deaths and fatalities globally. When drivers are drowsy or ...

These works are similar and comparable as they have presented the offline driver drowsiness detection scheme based on physiological data collected during the lane-keeping task in a simulated driving ...