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Hand Gesture Recognition

Real-time hand tracking and skeletal landmark detection using MediaPipe and OpenCV.

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GeliştirenAselens Software
Güncellenme TarihiDecember 1, 2024
Etiketler3 Etiket

Project Summary

Hand Gesture Recognition is a high-performance computer vision system that utilizes MediaPipe's Hands solution for robust, real-time hand landmark detection. By extracting 21 coordinate points from a video stream, the system performs dynamic finger counting and gesture analysis. This project serves as a foundational framework for human-computer interaction (HCI), enabling non-contact control systems for various software applications with high skeletal stability.

Project Access

Technologies Used

Python
MediaPipe
OpenCV

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