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Drowsiness Detection System

Overview

This project is a real-time drowsiness detection system using OpenCV, Dlib, and Scipy. The system monitors a person's eye aspect ratio (EAR) and triggers an alarm if drowsiness is detected.

Features

  • Detects drowsiness based on eye aspect ratio
  • Uses facial landmarks for precise eye detection
  • Plays an alarm sound when drowsiness is detected
  • Works with a webcam for real-time monitoring

Requirements

Ensure you have the following dependencies installed:

  • Python 3.x
  • OpenCV (cv2)
  • Dlib
  • Scipy
  • Imutils
  • Playsound
  • Threading

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