Real-Time Volume Control Using OpenCV

Abstract

This paper introduces a novel method for controlling computer volume through hand gestures using OpenCV, a computer vision library. Instead of traditional input methods like buttons or a mouse, users can adjust volume levels by waving their hands in front of a webcam. OpenCV tracks these hand movements and interprets them in real-time, providing accurate and responsive volume control. Our experiments demonstrate the effectiveness of this approach, offering an intuitive solution that enhances user interaction, particularly for individuals with mobility impairments. Furthermore, OpenCV's compatibility with various platforms and programming languages increases the system's versatility. This research advances gesture-based interaction techniques and underscores the potential of computer vision technology to improve user experience across different applications, making computing more interactive and accessible.