Driver Drowsiness Detection | AI & Vision Real-Time Safety

🔍 Project Overview

The Driver Drowsiness Detection System is an AI-powered safety solution that uses computer vision and machine learning to monitor driver alertness in real time. By analyzing eye closure, yawning, and head movement through a webcam, the system provides instant alerts to help prevent accidents caused by fatigue.

🏆 Key Achievements

• 44 - Real-time detection: Monitors drowsiness and yawning instantly via webcam
• Multi-feature analysis: Tracks eyes, mouth, and head position for robust detection
• Fast inference : Results in seconds per scan
• Cross-platform: Immediate sound notification for drowsiness events
• User-friendly GUI: Simple interface built with Tkintern

🎥 Project Explanation Video

📌 Video Highlights

• Live drowsiness detection demo
• Real-time alerts for eye closure and yawning
• Head movement and attention monitoringos

🛠️ Technical Stack

Frontend

• Tkinter (Python GUI)
• HTML5 / CSS3 / JavaScript
• Responsive UI Design

Backend

• Python 3.7+
• OpenCV for video processing
• dlib for facial landmark
• NumPy, SciPy, imutils for data processings
• playsound for audio alerts

📂 Project Structure: Driver Drowsiness Detection System

driver-drowsiness-detection/
│
├── index.html                        # Main web page (project showcase)
│
├── requirement.txt                   # Python dependencies for macOS
│
├── DrowsinessDetector.py             # Main Python script
│
├── shape_predictor_68_face_landmarks.dat  # Pre-trained model (large file)
│
├── alert.mp3                         # Audio alert file
│
├── SVMclassifier.dat                 # (If used) SVM model file
│
├── run.bat                           # (Optional) Windows batch file to run the script
│
├── video/
│   └── demo.mp4                      # Demo video of your project
│
├── images/                           # (Optional) Folder for screenshots, thumbnails, etc.
│   └── thumbnail.jpg                 # Thumbnail for video (used in HTML poster)
│
├── src/                              # (Optional) Source code folder if you want to organize scripts
│   └── ...                           # Additional Python scripts or modules
│
├── docs/                             # (Optional) Documentation, reports, or extra info
│   └── README.md                     # Project readme (if not in root)
│
├── .idea/                            # (Optional) IDE/project config files (can be ignored for sharing)
│   └── ...                           # PyCharm or VSCode config files
│
└── Dlib_Windows_Python3.x-main/      # (Optional) Dlib Windows wheel and related files (not needed for macOS)
    └── ...                           # Dlib wheel, README, etc.

How It Works:

• Captures video from the webcam in real time
• Detects facial landmarks to monitor eyes, mouth, and head position
• Calculates Eye Aspect Ratio (EAR) and Mouth Aspect Ratio (MAR) to detect drowsiness and yawning
• Triggers an audio alert if drowsiness or yawning is detected
• Displays results and status in a user-friendly GUI

✨ Core Features

• Real-Time Monitoring : Detects drowsiness and yawning instantly
• Audio Alerts: Notifies the driver immediately
• Head Movement Detection: Alerts if the driver looks away or down
• Easy Setup: Simple installation and usage instructionsg

💡 Why This Matters

• Drowsy driving is a leading cause of road accidents. This system helps prevent accidents by alerting drivers before fatigue becomes dangerous.

About :

• Developed by : Praveen Kumar
• For more information, contact: praveen11x@gmail.com

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