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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)

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.

References

  1. Blanco-Novoa, O., Fernández-Caramés, T.M., Fraga-Lamas, P., Vilar-Montesinos, M.A.: A practical evaluation of commercial industrial augmented reality systems in an industry 4.0 shipyard. IEEE Access 6, 8201–8218 (2018)

    Article  Google Scholar 

  2. De Pace, F., Manuri, F., Sanna, A.: Augmented reality in industry 4.0. Am. J. Comput. Sci. Inf. Technol. 06, 17 (2018)

    Google Scholar 

  3. Duenser, A., Grasset, R., Billinghurst, M.: A survey of evaluation techniques used in augmented reality studies. In: ACM SIGGRAPH ASIA 2008 (2008)

    Google Scholar 

  4. Garrido-Jurado, S., Muñoz Salinas, R., Madrid-Cuevas, F., Medina-Carnicer, R.: Generation of fiducial marker dictionaries using mixed integer linear programming. Pattern Recogn. 51, 481–491 (2015)

    Article  Google Scholar 

  5. Lang, S., Kota, M.S.S.D., Weigert, D., Behrendt, F.: Mixed reality in production and logistics: Discussing the application potentials of microsoft hololensTM. Procedia Comput. Sci. 149, 118–129 (2019)

    Google Scholar 

  6. Liagkou, V., Salmas, D., Stylios, C.: Realizing virtual reality learning environment for industry 4.0. Procedia CIRP 79, 712–717 (2019). 12th CIRP Conference on Intelligent Computation in Manufacturing Engineering, 18–20 July 2018. Gulf of Naples, Italy

    Article  Google Scholar 

  7. Masood, T., Egger, J.: Adopting augmented reality in the age of industrial digitalisation. Comput. Ind. 115, 103112 (2020)

    Article  Google Scholar 

  8. Navab, N.: Developing killer apps for industrial augmented reality. IEEE Comput. Graphics Appl. 24(3), 16–20 (2004)

    Article  Google Scholar 

  9. Niehorster, D., Li, L., Lappe, M.: The accuracy and precision of position and orientation tracking in the HTC VIVE virtual reality system for scientific research. i-Perception 8 (2017). https://journals.sagepub.com/doi/full/10.1177/2041669517708205

  10. Quandt, M., Knoke, B., Gorldt, C., Freitag, M., Thoben, K.D.: General requirements for industrial augmented reality applications. Procedia CIRP 72, 1130–1135 (2018). 51st CIRP Conference on Manufacturing Systems

    Article  Google Scholar 

  11. Roldán, J.J., Crespo, E., Martín-Barrio, A., Peña Tapia, E., Barrientos, A.: A training system for industry 4.0 operators in complex assemblies based on virtual reality and process mining. Robot. Comput. Integr. Manuf. 59, 305–316 (2019)

    Article  Google Scholar 

  12. Romero-Ramirez, F., Muñoz Salinas, R., Medina-Carnicer, R.: Speeded up detection of squared fiducial markers. Image Vis. Comput. 76 (2018)

    Google Scholar 

  13. de Souza Cardoso, L.F., Mariano, F.C.M.Q., Zorzal, E.R.: A survey of industrial augmented reality. Comput. Ind. Eng. 139, 106–159 (2020)

    Article  Google Scholar 

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Correspondence to Fabrizio Lamberti .

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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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