/Driver-drowsiness-detection

Primary LanguageJupyter Notebook

Real-time-driver-drowsiness-detection

Overview

This repository contains Python scripts for drowsiness detection using two different approaches: eye-mouth aspect ratio analysis and a custom YOLO model.

Part 1: Drowsiness Detection using Eyes

  • Implemented using OpenCV and dlib for facial landmark detection.
  • Monitors the eye aspect ratio to detect drowsiness based on blink patterns.

Part 2: Drowsiness Detection using YOLO Custom Model

  • Utilizes YOLOv5 for real-time object detection.
  • Trains a custom YOLO model to detect drowsiness-related behaviors.