Volume Control using Hand Gestures

This project introduces a system for controlling volume of the computer system using hand gestures as input. The system utilizes the OpenCV module for gesture detection and control. It captures images and videos through a webcam and adjusts the system’s volume based on user gestures.

• The system detects hand gestures in real-time, translating them directly into volume up/down commands.
• It uses a webcam / sensor for raw data capture, followed by signal processing and segmentation for accurate gesture classification.
• Eliminates the need for physical buttons or knobs, offering a touch-free experience
• The underlying gesture recognition framework can be extended to control additional features, such as track selection or playback.

Steps

• Use camera or sensor to capture hand gestures
• Identify the input by user
• MediaPipe determines appropriate volume level based on the user's gesture
• Volume information sent to the device
• Device adjusts the volume level accordingly

Applications of Gesture Recognition System

• Talking to the Computer
• Medical Operations
• Gesture-based Gaming Control
• Hand Gesture to control the home appliances like MP3 player, TV etc.
• Gesture Control Car Driving
• Communication

Screenshots

Future Work

• Mobile implementations TensorFlow Lite or MediaPipe's mobile SDK for real-time processing.
• Add multiple gesture detection for play/pause, next/previous track.
• Use AI models to train custom gestures.
• Implement voice feedback for accessibility.

Documentation

Documentation