Year: 2025
Type: article
Abstract: This project presents a novel and interactive approach to virtual drawing through an Air Canvas system that enables users to draw in mid-air using a colored pen tip. By leveraging computer vision techniques in Python with the OpenCV library, the system tracks the pen's movement in real-time without requiring physical contact or expensive hardware like depth sensors or hand tracking modules. The pen's color is isolated using HSV color space thresholding and morphological operations, allowing for precise tracking. Users can perform drawing actions, switch colors, or clear the screen using simple gestures with the pen. The system is implemented with an adjustable color detection interface for real-time tuning and provides a low-cost, efficient, and intuitive solution for applications in education, art, and human-computer interaction. The Air Canvas demonstrates how accessible technology and basic image processing can be used to develop immersive and touchless interactive systems.
Authors: Aarya Sunil Paradkar, Kundan Laxman Pednekar, Sai Vignesh Yenugudhati, Atharva Deepak Jadhav, Kaustubh Ravindra Parihar, Megha Patil
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4410526324