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Augmented Reality SDK’s: A Comparative Study

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Intelligent Systems Design and Applications (ISDA 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 418))

Abstract

Augmented Reality (AR) is one of the most exciting and rapidly developing technology in recent years. AR technology is utilized by a variety of devices and platforms, each with its own set of specifications and software development kits (SDKs). The major benefit of SDKs is that they allow developers to apply typical and time-tested techniques and shortcuts in development, rather than tackling all generic and typical problems individually and wasting time on them. This paper provides a study of various SDKs, including their advantages and disadvantages. Four different types of AR SDK’S were considered: Vuforia, Wikitude, ARToolKit and Kudan. The study compares the AR SDK’S in terms of licence, supported platforms, cloud recognition, geolocation, SLAM (Simultaneous Localization and Mapping), and other additional features. The comparative study has shown that none of the discussed AR SDK’s can satisfy all the criteria because each framework is suitable for a particular application as well as its own area of implementation.

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Author information

Authors and Affiliations

  1. EMISYS: Energetic, Mechanic and Industrial Systems, Engineering 3S Research Center, Industrial Engineering Department, Mohammadia School of Engineers, Mohammed V University, Rabat, Morocco

    El Mostafa Bourhim

  2. Artificial Intelligence and Complex Systems Engineering (AICSE), Hassan II University of Casablanca, Ecole Nationale Supérieure Des Arts Et Des Métiers, ENSAM, Casablanca, Morocco

    Aziz Akhiate

Authors
  1. El Mostafa Bourhim
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  2. Aziz Akhiate
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Corresponding author

Correspondence to El Mostafa Bourhim .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Niketa Gandhi

  3. Institut für Wirtschaftsinformatik, Fachhochschule Nordwestschweiz, Olten, Switzerland

    Thomas Hanne

  4. Department of Computer Science and information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

  5. Federal University of Bahia, Ondina, Brazil

    Tatiane Nogueira Rios

  6. Nantong University, Nantong Shi, Jiangsu, China

    Weiping Ding

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Bourhim, E.M., Akhiate, A. (2022). Augmented Reality SDK’s: A Comparative Study. In: Abraham, A., Gandhi, N., Hanne, T., Hong, TP., Nogueira Rios, T., Ding, W. (eds) Intelligent Systems Design and Applications. ISDA 2021. Lecture Notes in Networks and Systems, vol 418. Springer, Cham. https://doi.org/10.1007/978-3-030-96308-8_52

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