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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 11, 2023.
Abstract: Augmented Reality Software Development Kits, or as they are commonly called AR SDKs, are useful for developers to build digital objects in AR. This paper presents a comparative study of AR SDKs. This comparison is based on several significant criteria, to select the most suitable SDK. The evaluation used the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) method. Based on a comparative analysis of the features and virtual elements available for application development with the AR SDK, researcher suggests that the main functions of the AR SDK were to be able to offer AR application Editing Platform and facilitate software creation without requiring knowledge of algorithms. Besides that, it is possible to establish some general observations regarding the benefits and limitations of the AR SDK. The result of this research is expected to provide with the clear framework for processing the data that has been collected, summarized, and tested from case study so the researcher will be able to reach useful conclusions. From the literature study has been conducted, it was concluded that among many SDK tools, there are 15 of them which were the most employed by AR developers. These 15 tools were selected based on certain main attributes and support platforms. At the end of this research, it also presents the advantages and limitations of these 15 tools.
Suzanna , Sasmoko, Ford Lumban Gaol and Tanty Oktavia, “Augmented Reality SDK Overview for General Application Use” International Journal of Advanced Computer Science and Applications(IJACSA), 14(11), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0141106
@article{2023,
title = {Augmented Reality SDK Overview for General Application Use},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0141106},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0141106},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {11},
author = {Suzanna and Sasmoko and Ford Lumban Gaol and Tanty Oktavia}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.