UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 3
March-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2303562


Registration ID:
510656

Page Number

f477-f487

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Title

SCANNING QR CODR USING AN AR METHOD TO DISCOVER PERSONAL INFORMATION

Abstract

Large programs like virtual reality, augmented reality, and neural network-based programs can now be run quickly on smartphones thanks to advances in hardware technology, particularly in mobile devices. Using your device's camera, augmented reality adds sound, video, graphics, and other sensor-based inputs to real-world objects using computer vision-based recognition algorithms. It's a good way to render real-world data and make it interactive, making virtual objects feel like they belong in the real world. This paper has various sections, including alphabets, fruits, animals, human organs, tools, and a conversation section. A 3D character will be shown in the real world through a camera and will teach the user name of the object. For instance, if the user selects the fruit option, the character will begin by introducing the section and then displaying a 3D model of various fruits and uttering the names of each one. If, on the other hand, the user selects the conversation option, the character will engage in conversation with the user, acting as a waiter and asking questions like "what do you like to eat or drink?" This will assist the user in figuring out how to behave and speak at that moment. The design, modeling, and animation of models and characters are all part of the process described in this paper. Several software and frameworks, including Autodesk Maya, Unity3D, and augmented reality foundations, are used to accomplish this.

Key Words

Augmented Reality, AR foundations, Self-Learning, Unity3D, Autodesk Maya, and Animated Objects.

Cite This Article

"SCANNING QR CODR USING AN AR METHOD TO DISCOVER PERSONAL INFORMATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.f477-f487, March-2023, Available :http://www.jetir.org/papers/JETIR2303562.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"SCANNING QR CODR USING AN AR METHOD TO DISCOVER PERSONAL INFORMATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppf477-f487, March-2023, Available at : http://www.jetir.org/papers/JETIR2303562.pdf

Publication Details

Published Paper ID: JETIR2303562
Registration ID: 510656
Published In: Volume 10 | Issue 3 | Year March-2023
DOI (Digital Object Identifier):
Page No: f477-f487
Country: Salem, Tamil Nadu, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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