Gesture Pilot: Redefining the Way We Interact with Computers
Gesture Pilot is an innovative project that re-imagines computer interaction through intuitive hand gestures. By replacing traditional input devices such as the mouse and keyboard, it offers a futuristic, hands-free experience that enhances productivity, accessibility, and convenience.
Core Features
Gesture Recognition: Advanced detection and interpretation of hand movements for dynamic system control.
Brightness Adjustment: Use left-hand gestures to smoothly increase or decrease screen brightness.
Volume Control: Effortlessly adjust system volume with right-hand gestures.
Mouse Navigation: Precisely move the mouse pointer using gestures for accurate control.
Streamlit Integration: A web-based interface for easy configuration and a seamless user experience.
Technology Stack
Gesture Pilot combines robust tools and frameworks to deliver an efficient and responsive solution:
Programming Language: Python for gesture recognition, data processing, and backend logic.
Computer Vision: OpenCV for real-time hand tracking and landmark detection.
MediaPipe: Hand tracking and gesture recognition pipeline for high accuracy.
Web Framework: Streamlit for creating an interactive and user-friendly web interface.
Dependencies: Libraries such as NumPy for data manipulation and PyAutoGUI for simulating mouse control.
Future Scope
Multi-Gesture Combinations: Introducing complex gesture combinations for more intricate controls and commands.
Augmented Reality (AR) Support: Integrating with AR devices to provide immersive and interactive experiences.
Customizable Gestures: Allowing users to define and customize their own gestures to suit their specific needs and preferences.
Real-Time Feedback: Providing real-time visual or haptic feedback to confirm gesture recognition and execution.
