Gesture Control System

The Gesture Control System using OpenCV is a cutting-edge project that brings the power of hand gesture recognition to everyday computer interactions. This system allows users to control their computer and presentations through simple hand gestures, eliminating the need for traditional input devices like a mouse or keyboard. By utilizing computer vision and machine learning, this project aims to enhance user experience and accessibility, making it possible to interact with technology in a more natural and intuitive way.

Source Code

Project Overview

The Gesture Control System leverages computer vision techniques to track and recognize hand gestures, allowing users to control their computer and presentations without physical contact. The system utilizes MediaPipe for real-time hand tracking and gesture recognition, enabling functionalities such as cursor control, mouse actions, and PowerPoint presentation management. With a focus on enhancing user interaction and accessibility, this project showcases the integration of advanced technologies to create a seamless and intuitive user experience.

Key Features

- Hand Tracking and Gesture Recognition:Utilizes the MediaPipe library to detect and track hand movements in real-time.
- Cursor Control:Enables cursor movement and mouse actions such as clicking and dragging using specific hand gestures.
- Presentation Control:Allows users to control PowerPoint presentations with gestures, including navigating between slides.
- Smooth Scrolling: Implements smooth scrolling using hand gestures for a seamless user experience.

Tools Used

Python

OpenCV

See Live

Code Link