Abstract: Drowsy driving is one of the major causes of road vehicle accidents, leading to serious injuries and fatalities. This paper introduces a novel Driver Drowsiness Detection System with ...

1 Universidad Tecnológica de Lima Sur (UNTELS), Lima, Peru 2 Grupo de Investigación en Computación y Neurociencia Cognitiva, Universidad Tecnológica de Lima Sur (UNTELS), Lima, Peru This research ...

A real-time driver drowsiness detection system built in Python using computer-vision techniques: monitors facial landmarks and eye state via webcam, and triggers an alert when prolonged eye closure or ...

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 ...

Abstract: Fatigued drivers are one of the primary causes of traffic accidents. This project proposes a real-time drowsiness detection system that uses the Raspberry Pi, OpenCV, and Haar Cascade ...

The system is optimized for Raspberry Pi and balances performance with accuracy by using adaptive processing rates based on detection state. zvision/ ├── config.yaml # Configuration file ├── main.py # ...