Driver Drowsiness Detection System
Overview
This Driver Drowsiness Detection System is a Python app that can spot when a driver looks sleepy in real time. It looks at your face, mostly the eyes, to see if you’re tired or not. It’s built with Streamlit, so it has a simple interface that’s easy to use. It also uses OpenCV and Dlib to track your eyes and check for signs of drowsiness.
This project is great for school work, research, or even real-life safety stuff. It comes with everything you need — a nice dashboard, live detection, and alerts to help keep drivers safe.
Project Information Table
| Project Name | Language & Developer |
|---|---|
| Driver Drowsiness Detection System | Python Developer: UPDATEGADH |
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Technical Details
- Language/s Used: Python
- Python Version (Recommended): 3.9 or later
- Type: Web Application
- Framework: Streamlit
Available Features
- Real-time driver drowsiness detection using camera simulation or webcam
- Visual dashboard with dynamic status and alert messages
- Eye blink and EAR (Eye Aspect Ratio) monitoring
- Integrated alert system for fatigue detection
- Uses
dlib‘s facial landmark predictor (shape_predictor_68_face_landmarks.dat) - Custom UI using Streamlit with live graph plotting
- Modular code structure with utility functions and simulation support
- Can run in local environments easily (no deployment needed)
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