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Evaluating the Suitability of Several AR Devices and Tools for Industrial Applications

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Augmented Reality, Virtual Reality, and Computer Graphics (AVR 2020)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12243))

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Abstract

In recent years, there has been an increasing interest in Industrial Augmented Reality (IAR) due to its prominent role in the ongoing revolution known as Industry 4.0. For companies and industries it is essential to evaluate carefully which of the developed AR-based technologies to adopt, and when, for tasks such as training, maintenance, assistance, and collaborative design. There is also a wide array of hardware and software alternatives on the market, characterized by a significant heterogeneity in terms of functionalities, performance and cost. With this work, our objective is to study and compare some widely available devices and Software Development Kits (SDKs) for AR by leveraging a set of evaluation criteria derived from the actual literature which have been deemed capable to qualify the above assets as suitable for industrial applications. Such criteria include the operative range, robustness, accuracy and stability. Both marker-based and marker-less solutions have been considered, in order to investigate a wide range of possible use cases.

This work has been supported by a study funded by SIPAL Spa under the research project titled “Cantiere Tecnologico per infrastrutture militari e civili (Unmanned vehicles and Virtual facilities)”, Regione Puglia, and by the VR@POLITO initiative.

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Notes

  1. 1.

    https://www.vive.com/us/accessory/base-station/.

  2. 2.

    https://www.ptc.com/en/products/augmented-reality/vuforia.

  3. 3.

    https://github.com/shawnlehner/ARMaker.

  4. 4.

    https://www.wikitude.com/.

  5. 5.

    https://www.xlsoft.com/en/products/kudan/ar-sdk.html.

  6. 6.

    https://developers.google.com/ar/develop/c/augmented-images.

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Authors and Affiliations

  1. Politecnico di Torino, Dipartimento di Automatica e Informatica, Turin, Italy

    Edoardo Battegazzorre, Davide Calandra, Francesco Strada, Andrea Bottino & Fabrizio Lamberti

Authors
  1. Edoardo Battegazzorre
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  2. Davide Calandra
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  3. Francesco Strada
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  4. Andrea Bottino
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  5. Fabrizio Lamberti
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Corresponding author

Correspondence to Fabrizio Lamberti .

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Editors and Affiliations

  1. University of Salento, Lecce, Italy

    Lucio Tommaso De Paolis

  2. University of Paris-Sud, Orsay, France

    Patrick Bourdot

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Battegazzorre, E., Calandra, D., Strada, F., Bottino, A., Lamberti, F. (2020). Evaluating the Suitability of Several AR Devices and Tools for Industrial Applications. In: De Paolis, L., Bourdot, P. (eds) Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2020. Lecture Notes in Computer Science(), vol 12243. Springer, Cham. https://doi.org/10.1007/978-3-030-58468-9_19

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  • DOI: https://doi.org/10.1007/978-3-030-58468-9_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58467-2

  • Online ISBN: 978-3-030-58468-9

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