A deep learning-based real-time driver drowsiness detection and alert system using CNN-LSTM architecture. The model analyzes eye movements, mouth openness (yawning), and head pose to accurately ...

Abstract: Driver fatigue is one of the leading causes of accidents worldwide. One of the most reliable methods of measuring driver fatigue is to detect the driver's drowsiness. Drowsiness and fatigue ...

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 ...

The ability to catch a blink of an eye, detect the pupil, and even track its movements may seem like fancy tasks, but they have numerous practical applications. Let’s explore a handful of use cases ...

Mallow Road Policing Unit detected an uninsured driver who was intoxicated during an overnight patrol. Gardaí based in Mitchelstown detected a driver with no insurance over the weekend. Gardaí said ...

Container truck driver Le Van Khoa put three handfuls of dried tea in a thermos container after dinner and began a trans south-north trip. Leaving Trang Bom District in the southern Dong Nai province ...