Welcome to the Hand Tracking System project! This project leverages the power of OpenCV and MediaPipe to detect and track hand movements in real-time using your webcam. Whether you're looking to build gesture-controlled interfaces or simply explore computer vision, this repository provides a great starting point. 🚀
- Real-time Hand Detection: Captures and processes video frames to detect hands instantly.
- Landmark Tracking: Tracks specific hand landmarks, enabling detailed gesture recognition.
- FPS Display: Monitors and displays the frame rate for performance insights.
- Clone the Repository:
git clone https://github.com/Navini11/hand-tracking-system.git - Install Dependencies: Ensure you have OpenCV and MediaPipe installed.
- Run the Application: Simply execute the
main.pyto start the hand tracking system.
- Launch the application and ensure your webcam is active.
- Watch as the system detects and tracks your hand movements.
- Press 'q' to exit the application.
For more details on the libraries used in this project, refer to their official documentation: OpenCV Documentation MediaPipe Documentation