Hand Tracking Drag and Drop Rectangles

This project demonstrates a simple application of hand tracking using OpenCV and the CVZone library. The application allows users to drag and drop rectangles on the screen using their hand movements.

Table of Contents

• Features
• Requirements
• Installation
• Usage
• Code Explanation
• License

Features

• Real-time hand tracking using a webcam.
• Ability to drag and reposition rectangles with your index finger.
• Transparent overlay effect for visual feedback.
• Customizable rectangle properties (size and position).

Requirements

To run this project, you will need:

• Python 3.x

• OpenCV

• NumPy

• CVZone

• You can install the required libraries using pip:

  pip install opencv-python numpy cvzone
  

Installation

1. Clone the Repository:

   git clone https://github.com/yourusername/hand-tracking-drag-drop.git
   cd hand-tracking-drag-drop
   

2. Install required dependencies as mentioned above.

Usage

• Connect a webcam to your computer.
• Run the script:

  python main.py

• Position your hand in front of the camera. Use your index finger to drag the rectangles around the screen.

Code Explanation

The main components of the code are as follows:

• HandDetector: This class from CVZone is used to detect hands and track finger positions.
• DragRect Class: This class represents a draggable rectangle. It has methods to update its position based on the cursor's location (the tip of the index finger).
• Main Loop:
• • Captures video frames from the webcam.
• • Flips the image for a mirror effect.
• • Detects hands and finds keypoints (landmarks) of the fingers.
• • Checks if the index finger is close enough to any rectangle to initiate dragging.
• • Updates rectangle positions based on finger movement.
• • Renders transparent rectangles over the video feed.

License

This project is licensed under the MIT License. Feel free to use, modify, and distribute it as you wish!