VisionDraw: Hand Gesture Interactive Canvas

Author(s)	Mr. Deepak Tete, Ms. Archana Nikose, Mr. Pravin Padole, Mr. Harsh Bawane, Mr. Arpan Pandey, Mr. Yassir Sheikh
Country	India
Abstract	In recent years, touch-free interaction has gained attention as users seek more convenient and naturalways to engage with computers. While traditional input tools such as the mouse and keyboard remaineffective, they restrict creativity and always require direct physical contact. To overcome theselimitations, this study presents VisionDraw: Hand Gesture Interactive Canvas, a lightweight and cost-efficient system that enables users to draw or write in the air using finger gestures instead of physicaldevices.The system employs a standard webcam combined with MediaPipe and OpenCV to detect andfollow hand movements, using the index fingertip as a virtual pen. Through intuitive gestures, users canswitch colors, erase strokes, or clear the digital workspace. During experimentation, the systemdelivered consistent and smooth tracking under normal illumination, though darker or clutteredbackgrounds slightly reduced accuracy.Overall, VisionDraw demonstrates that by integrating computer vision and real-time hand tracking, it is possible to develop an accessible, low-cost, and engagingmethod for creative digital interaction.
Keywords	Computer Vision, Hand Gesture Recognition, MediaPipe, OpenCV, Virtual Canvas
Published In	Volume 7, Issue 3, May-June 2026
Published On	2026-05-28

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