Virtual Air Canvas: A Review

Abstract

This creative method of utilizing open-source frameworks to create gesture-controlled whiteboard devices is impressive. The device tracks and interprets finger movements collected by a camera to allow users to engage with a virtual whiteboard. The implementation includes effective data processing, hand landmark estimate, and real-time hand detection by utilizing computer vision algorithms. By providing a modern form of communication and going beyond regular typing and writing habits, the system seeks to expand beyond traditional writing methods and create new opportunities for connection. The system contributes to the changing field of human-computer interaction by offering an alternate mode of communication, which improves people's quality of life overall. It also demonstrates the versatility of gesture-controlled systems in terms of enhancing communication accessibility. Key Words: Data Processing, Handmark Estimation, Computer Vision algorithms, MediaPipe, OpenCV.