This project implements a hand tracking system using the OpenCV library in Python. The system is capable of detecting and counting the fingers of a hand in front of a camera in real-time.
- Real-time hand detection and tracking.
- Accurate counting of visible fingers on the detected hand.
- Visualization of the detection and counting process in a user-friendly graphical interface.
- Python 3.x
- OpenCV
- NumPy
- scikit-learn (for Euclidean distance calculation)
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Clone or download this repository.
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Install the dependencies using pip:
pip install opencv-python numpy scikit-learn
- Run the
hand_tracker.pyscript. - Place your hand in front of the camera.
- Watch as the system detects and counts fingers in real-time.
Contributions are welcome. If you want to improve this application, feel free to fork the repository, implement your changes, and send a pull request.
This project is licensed under the MIT License.