HandScope : Hand Gesture Control
- Tech Stack: Python, OpenCV, MediaPipe, pycaw
- Github URL: Project Link
HandScope is an innovative Python-based application designed to allow users to control their system via hand gestures. This project uses OpenCV and MediaPipe libraries to track hand movements in real time, enabling users to perform a variety of actions without physical touch. The key functionality of this project includes controlling the system's audio (volume up/down), taking screenshots, and locking the computer by performing specific gestures.
The application provides an immersive experience and can be especially useful for people with disabilities or for anyone looking for a more futuristic way of interacting with their system. The project also demonstrates the power of computer vision and machine learning in enhancing user interaction.
Key Features:
- Real-time hand gesture recognition using MediaPipe and OpenCV
- Ability to control system audio volume through gestures
- Take screenshots and lock the system using hand gestures
- Efficient and responsive hand-tracking algorithms
Technical approach
HandScope leverages MediaPipe's Hands solution for high-fidelity hand landmark tracking and OpenCV for real-time video stream processing. The system implements a state-machine logic to interpret specific landmark configurations as OS-level commands. It uses the Pycaw library for direct audio hardware interaction and PyAutoGUI for system-wide automation tasks like screenshots and session locking.