🖐️ Real-Time Hand Tracking using OpenCV & MediaPipe

Overview

This project implements a real-time hand tracking system using OpenCV and MediaPipe. It detects hands in a video feed, extracts hand landmarks, and displays tracking information, including FPS.

Screen.Recording.2025-03-31.141700.mp4

Features

✅ Real-time hand detection & tracking
✅ Extracts hand landmark positions (x, y)
✅ Draws hand landmarks & connections
✅ Displays FPS for performance monitoring
✅ Robust error handling for camera detection

Installation

Make sure you have Python installed, then install the required dependencies:

pip install opencv-python mediapipe numpy

Usage

Run the following command to start the hand tracking system:

python3 HandTrackingModel.py

Press q to exit the program.

File Structure

/hand-tracking-project
│── HandTrachingModel.py  # Main hand tracking script
│── README.md         # Project documentation

Code Breakdown

1️⃣ Import Dependencies

import cv2
import mediapipe as mp
import time
import numpy as np

Author

👨‍💻 Developed by [Shreeya Srivastava]