🧍‍♂️ Full Body and Hand Palm Detection using MediaPipe & OpenCV

This project uses MediaPipe and OpenCV to detect and track a person’s full body and hand palms in real time using a webcam. It identifies key body points and hand landmarks, connecting them with lines and dots to visualize motion. Palms are highlighted with green circles for better clarity.

The system runs efficiently on most computers and is ideal for applications such as gesture control, fitness tracking, or sign language detection. It performs best in good lighting conditions with a clear background, ensuring accurate detection and smooth tracking.

🔧 Features

Real-time full body and hand detection

Tracks 33 body landmarks and 21 hand landmarks

Highlights palm centers for visibility

Works efficiently on mid-range systems

🧠 Technologies Used

MediaPipe

OpenCV

Python 3.9+