Found 11 repositories(showing 11)
aiswaryanayak
An AI-powered Drowsiness Detection System to prevent accidents caused by driver fatigue. DrowsiGuard uses real-time computer vision and AI to monitor eye movements and facial landmarks to detect signs of drowsiness. If drowsiness is detected, the system alerts the user instantly — ensuring safety on the road.
maheshmm7
A real-time, deep learning-based system designed to monitor and detect drowsiness in drivers using computer vision techniques. This project employs facial landmarks, eye state detection, gaze direction tracking, and head pose estimation to ensure safer driving by alerting drivers when drowsy or distracted.
Ganeshraj10
The Awake Detection System is a real-time intelligent application that uses face recognition and deep learning techniques to monitor a user’s alertness level through a live camera feed. The primary goal of the system is to determine whether a person is awake, drowsy, or asleep by analyzing eye behavior and facial features.
dhairvi05
No description available
nishant0815
No description available
Chitra-2024
No description available
mik07005
No description available
TechMaverik
No description available
kavya0704
AI-powered driver drowsiness detection system using phone camera + laptop. Detects eye closure & yawning in real time with instant alerts. Built with OpenCV, MediaPipe & Flask. Privacy-safe, local processing, demo-ready 🚗
No description available
A Computer Vision Project.
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