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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM54912

Air Canvas: Learning Studio using Computer Vision

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM54912

Volume:

9 |

12 |

Dec 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM54912

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PM

Prof. Meenakshi

SM

Sanjana Malki

RS

Rukhaiya Shaikh

SH

Shivani Hanji

SH

Supritha Hiremath

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Abstract

The Air Canvas Learning Studio is a simple, interactive, and user-friendly A system that allows users to create drawings by moving their hand in the air using only a webcam, without requiring any physical tools. The system identifies the fingertip or a colored object held by the user and converts its motion into digital lines on the screen. With the help of OpenCV and MediaPipe, the application can accurately detect hand positions and draw in real time, ensuring a smooth and continuous output. The system It offers different helpful features, including selecting different colors, erasing specific parts, clearing the entire screen, and saving the final drawing for future use. These functions make the drawing experience more flexible and convenient for the user. The primary aim of this is project is to support learning and creativity by offering a contact-free way to draw diagrams, explain concepts, or practice art. This is especially helpful for teachers, students, and beginners who want an easy and engaging digital-drawing method.

KEYWORDS

OpenCV Python MediaPipe Hand Tracking Object Recognition Human–Computer Interaction Image Processing Color Detection.

Cite This Article

Prof. Meenakshi, Sanjana Malki, Rukhaiya Shaikh, Shivani Hanji, Supritha Hiremath, "Air Canvas: Learning Studio using Computer Vision," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 12, Dec 2025. https://doi.org/10.55041/IJSREM54912

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Publication Date

5/11/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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