Paper Title
Air Canvas using OpenCV and YOLOv5 Algorithm
Article Identifiers
Authors
C. S. K. Keerthi , Y. Sowmya
Keywords
image processing, deep learning, YOLO
Abstract
Despite the latest advancements in the domain of image processing and deep learning, the combination of object detection and monitoring mechanisms for drawing and visible artwork remained underexplored. One such captivating study region is writing in the air. The undertaking takes gain of this concept and specializes in developing a motion-to-textual content converter that could function software program for intelligent wearable gadgets for writing from the air. This project is a reporter of random gestures, a real-time video-based pointing approach that allows for the sketching and writing of English textual content in front of a camera over the air. The YOLO algorithm will be used to detect and track the movements of the finger. The generated textual content may be used for several purposes, which include sending messages, emails, etc. It could be an effective way of communique for the deaf and also can be an excellent motivation for the dustless lecture rooms for the scholars to study in. It is a powerful communique technique that reduces human-system interplay, putting off the need to write.
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How To Cite (APA)
C. S. K. Keerthi & Y. Sowmya (June-2023). Air Canvas using OpenCV and YOLOv5 Algorithm. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(6), c184-c191. https://ijnrd.org/papers/IJNRD2306222.pdf
Issue
Volume 8 Issue 6, June-2023
Pages : c184-c191
Other Publication Details
Paper Reg. ID: IJNRD_197551
Published Paper Id: IJNRD2306222
Downloads: 000121989
Research Area: Computer Science & TechnologyÂ
Country: Visakhapatnam, Andhra Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2306222.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2306222
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ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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