UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 11 Issue 7
July-2024
eISSN: 2349-5162

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

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Published Paper ID:
JETIRGK06010


Registration ID:
544721

Page Number

81-85

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Title

AUGMENTED LEARN

Abstract

Augmented reality (AR) is heralded as a transformative technological innovation, offering an immersive blend of digital and physical realms through the seamless integration of visual elements, auditory feedback, and sensory inputs via sophisticated interfaces. This paper conducts an exhaustive inquiry into the multifaceted landscape of AR technology, scrutinizing its myriad applications and focusing on a specialized project aimed at harnessing Unity Software alongside the Vuforia Engine to engineer an Object Placement feature. The pervasive allure and widespread adoption of AR stem from its capacity to revolutionize data acquisition and analysis, endowing users with unprecedented means to interact with and manipulate their environment. This research not only elucidates the foundational principles underpinning augmented reality but also delves into the intricate technical nuances associated with deploying Unity Software and Vuforia Engine. Furthermore, it offers a detailed exposition of the methodologies employed in the development of the Object Placement feature, highlighting its potential utility across diverse real- world scenarios. Through this comprehensive examination, this paper seeks to contribute to a deeper understanding of AR technology and its practical implications for enhancing human-computer interaction in various domains.

Key Words

Augmented Reality (AR), Unity Software, Vuforia Engine, Object Placement

Cite This Article

"AUGMENTED LEARN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 7, page no.81-85, July-2024, Available :http://www.jetir.org/papers/JETIRGK06010.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

"AUGMENTED LEARN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 7, page no. pp81-85, July-2024, Available at : http://www.jetir.org/papers/JETIRGK06010.pdf

Publication Details

Published Paper ID: JETIRGK06010
Registration ID: 544721
Published In: Volume 11 | Issue 7 | Year July-2024
DOI (Digital Object Identifier):
Page No: 81-85
Country: Dombivali East, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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