Hand Gesture Recognition (0–5)

Description

This project is a real-time computer vision application that uses a laptop webcam to detect and classify hand gestures. The system counts the number of fingers shown (0–5) and displays the result live on the screen.

Technologies Used

• Python
• OpenCV
• MediaPipe

Features

• Real-time webcam input
• Hand landmark detection
• Finger count classification (0–5)
• Fullscreen display with live results

How to Run

1. Install dependencies: pip install opencv-python mediapipe

2. Run the program: python hand_gesture.py

3. Press Q to exit.

Output

The detected finger count is displayed on the top-left corner of the screen in real time.