DEEP LEARNING BASED REAL TIME AI VIRTUAL MOUSE SYSTEM USING COMPUTER VISION

Abstract

The project aims to create a virtual mouse system that enables users to control computer interfaces
using natural hand gestures and movements captured through a standard webcam. Traditional computer input
methods, such as physical mice and keyboards, can be limiting in terms of mobility and accessibility. The
proposed virtual mouse system offers a more intuitive and hands-free alternative, particularly useful in scenarios
where physical interaction is impractical or uncomfortable.
The purpose of the proposed system is to perform computer mouse cursor functions and scroll function
using a web camera or a built-in camera in the computer instead of using a traditional mouse device. Hand
gesture and hand tip detection by using computer vision.
By leveraging real-time computer vision techniques and deep learning algorithms, the system interprets hand
gestures and movements in the captured video feed, converting them into corresponding mouse cursor actions
and keyboard inputs.