GitHub

driver-monitoring-system

Real-time AI Driver Drowsiness Detection using Flask, OpenCV & Dlib with live browser camera monitoring and fatigue alerts. VisionSense is a comprehensive ROS2-based computer vision system designed ...
IEEE

Drowsiness Detection System Using OpenCV

With the modern world turning at the speed that it does, road safety remains a critical element of transport policy, and fatigue of drivers plays a role in a significant number of accidents and deaths ...
Scientific Research Publishing

Driver Drowsiness Detection Based on Eye Blinking Using Convolutional Neural Network Approach ()

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 ...
Hacker

Insights Through Vision: Tracking Eyes Using OpenCV for Blink Detection

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 ...
Frontiers

An effective approach for real-time drowsy driving prediction using quantized fisher-Gabor features and latent-dynamic conditional random fields

Driver drowsiness or fatigue is among the most important factors that cause traffic accidents; therefore, a monitoring system is necessary to detect the state of a driver drowsiness or fatigue. In ...
GitHub

GTruf/Driver-Drowsiness-Detector

This project is a thesis work representing a prototype of an intelligent safety system for detecting driver drowsiness using facial video surveillance. OpenCV libraries have version 4.8.0 in the ...
IEEE

Driver Drowsiness Detection using OpenCV and DLib

Abstract: The proposed system aims to enhance transportation safety by reducing the occurrence of accidents caused by driver fatigue and drowsiness, a prevalent issue in recent times. To detect signs ...