Hand Gesture Based System Control

Overview

The Hand Gesture Based System Control project is a computer vision based application that allows users to control basic system functions using hand gestures instead of traditional input devices like a mouse or keyboard.The system uses a standard webcam to detect hand movements in real time and translates specific gestures into system actions. By combining OpenCV for video processing, MediaPipe for accurate hand landmark detection, and PyAutoGUI for controlling mouse and keyboard events, this project provides a touch-free way to interact with a computer.

Key Features

• Real-time hand tracking
• Distance-based gesture recognition (using finger landmarks)
• Mapping gestures to system-level actions such as mouse movement, clicks, and window control

Technologies Used

Back to Portfolio