This repo can detect and track user's eyes and mouth and alert when the user is feeling drowsy.
This repository contains the files related to the project on frame-by-frame Drowsiness Detection in Drivers in videos using facial features.
Aware Driving (AD) is a mobile app that will assist you while you are driving.
This is a deep learning model that detects signs of driver fatigue. Simulation application is under development.
Predicts if a driver is fit to drive or not. Performance of Logistic Regression, Naive Bayes, and Random Forests using Scikit-Learn is compared.
A YOLOv11-based driver fatigue detection dataset with multi-feature fusion annotations.
A real-time Driver Fatigue Monitoring System using Python, OpenCV, and MediaPipe. It detects drowsiness and distraction through eye and head movement analysis. Alerts are triggered via sound/vibration
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