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AlartEye
AI / Computer Vision
2024
completed

AlartEye

AI-powered real-time drowsiness detection tool using computer vision.

Technologies Used

JavaScript
WebRTC
TensorFlow.js and OpenCV.js
Facial Landmarks
Browser‑based detection

Project Overview

An AI-powered web application deployed on Vercel that monitors the user’s webcam feed and analyzes facial landmarks and eye movements to detect signs of drowsiness (such as prolonged eye closure or head tilt). When drowsiness is detected, an alert is triggered instantly to help prevent fatigue-related accidents. Built using a computer‑vision algorithm based on eye aspect ratio, head posture detection, and threshold-based real‑time evaluation.