Hand Gesture Recognition using MediaPipe and OpenCV

Overview

This project performs real-time hand gesture recognition using a webcam.

The system detects hand landmarks using MediaPipe and classifies the following gestures:

• Open Palm
• Fist
• Thumbs Up

Each gesture is mapped to a system action:

Gesture	Action
Open Palm	Volume Up
Fist	Volume Down
Thumbs Up	Play/Pause

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Technologies Used

• Python
• OpenCV
• MediaPipe
• PyAutoGUI

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Project Structure

HandGestureRecognition/ │ ├── main.py ├── gesture_detector.py ├── requirements.txt ├── README.md │ ├── screenshots/ └── demo/

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Installation

pip install -r requirements.txt

Run

python main.py

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Features

• Real-time hand landmark detection
• Gesture classification
• Gesture-to-action mapping
• FPS display
• Webcam-based interaction

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Supported Gestures

Open Palm

Action: Volume Up

Fist

Action: Volume Down

Thumbs Up

Action: Play/Pause

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Future Enhancements

• Peace Sign Detection
• OK Sign Detection
• Sign Language Recognition
• Gesture-Based Presentation Control

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Author

K. Divya