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https://github.com/jahnvisahni31/safesense
This project is made by me as our data science project
https://github.com/jahnvisahni31/safesense
driver drowsiness-detection-python opencv python system tkinter
Last synced: 2 days ago
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This project is made by me as our data science project
- Host: GitHub
- URL: https://github.com/jahnvisahni31/safesense
- Owner: jahnvisahni31
- Created: 2023-02-23T11:58:41.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-05-18T17:29:24.000Z (6 months ago)
- Last Synced: 2024-05-18T18:31:36.643Z (6 months ago)
- Topics: driver, drowsiness-detection-python, opencv, python, system, tkinter
- Language: Python
- Homepage:
- Size: 15.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# SafeSense
## Introduction
SafeSense is a Driver Drowsiness Detection System designed to detect and alert drivers when they show signs of drowsiness or fatigue while operating a vehicle. This README file provides an overview of the system, its features, and instructions for installation and usage.
## Features
- **Real-time Drowsiness Detection**: The system uses computer vision techniques and machine learning algorithms to analyze the driver's facial features and detect signs of drowsiness in real-time.
- **Eye State Monitoring**: The system tracks the driver's eye movements and monitors the eye state to detect if the eyes are closed or if the driver is blinking excessively, indicating potential drowsiness.
- **Yawning Detection**: The system identifies instances of yawning, which is a common symptom of drowsiness, by analyzing facial landmarks and mouth movements.
- **Alarm and Alert System**: When drowsiness is detected, the system triggers an alarm to alert the driver. The alert can be in the form of a sound, vibration, or visual notification, depending on the implementation.
- **Adjustable Sensitivity**: The system allows users to adjust the sensitivity of drowsiness detection based on their preferences or specific requirements.
- **Robust Performance**: The system is designed to work in various lighting conditions and can handle different driver positions and orientations.
## Requirements
- Python (version 3.6 or higher)
- OpenCV (computer vision library)
- dlib (machine learning library)
## Installation
1. **Clone the repository**:
```sh
git clone https://github.com/jahnvisahni31/SafeSense.git
cd SafeSense
```
2. **Create a virtual environment (optional but recommended)**:
```sh
python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`
```
3. **Install the required packages**:
```sh
pip install -r requirements.txt
```
## Usage
1. **Start the application**:
```sh
python main.py
```
2. **Adjust the sensitivity** (if needed):
- Open the settings in the application interface and adjust the sensitivity slider to match your preferences.
3. **Monitor for drowsiness**:
- The system will continuously monitor your facial features, eye state, and yawning to detect signs of drowsiness.
- When drowsiness is detected, an alarm will trigger to alert you.
## Contributing
Contributions are welcome! If you have any ideas, suggestions, or improvements, feel free to open an issue or submit a pull request.
To contribute:
1. Fork the repository.
2. Create a new branch:
```sh
git checkout -b feature-branch
```
3. Make your changes.
4. Commit your changes:
```sh
git commit -m "Description of changes"
```
5. Push to the branch:
```sh
git push origin feature-branch
```
6. Open a pull request.
## License
This project is licensed under the MIT License. See the `LICENSE` file for more details.