A real-time Driver Drowsiness Detection System built using Python, OpenCV, MediaPipe, and Django. The system monitors the driver's eyes through a webcam and detects drowsiness based on eye movement ...

This research addresses the challenge of monitoring railway driver drowsiness using a real-time, vision-based system powered by convolutional neural networks, specifically the YOLOv8 architecture ...

This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from the ...

Peter earned a Bachelor of Archeology and Creative Writing from the University of Alabama and has since joined his love of driving and riding with storytelling. His voice is full of southern ...

Abstract: This paper presents a literature review of driver drowsiness detection based on behavioral measures using machine learning techniques. Faces contain information that can be used to interpret ...

Fatigued drivers are one of the most common hazards on the road, but sleepy-heads on commercial wheels are to get AI-assisted safety prompts courtesy of biometric-tracking technology. The tech ...

Negligence of public transport drivers due to drowsiness poses risks not only to their own lives but also to the lives of passengers. The designed journey tracker system alerts the drivers and ...

This project is a thesis work representing a prototype of an intelligent safety system for detecting driver drowsiness using facial video surveillance. OpenCV ...

Abstract: The ”Driver Drowsiness Detector” system aims to improve road safety by creating a real time system that can detect and alert drivers when they become drowsy or fatigued. Drowsy driving is a ...