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Edge Computing Technologies as a Crucial Factor of Successful Industry 4.0 Growth. The Case of Live Video Data Streaming

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Book cover Advances in Manufacturing II (MANUFACTURING 2019)

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Abstract

This article presents edge computing as a new approach which can significantly benefit development of Industry 4.0 in different areas. The edge computing was explained in comparison with cloud computing. Its main advantages can be obtained implementing both edge and cloud computing as a hybrid solution. The advantages of the new data management method were assigned to the topics comprised within each of the three differentiated main research areas built in the Industry 4.0 paradigm: Individualization of production, Horizontal integration in collaborative networks, End-to-End digital integration. The tables designed show impact of the advances resulting from edge computing on the development possibilities in manufacturing and production while realizing the most probable exploitation and growth scenarios. To make the predictions based on the literature more realistic there was presented a case study of the project where edge device for stereoscopic 180° live video streaming was planned to be implemented bringing significant improvements into the data capturing and management process. The algorithmic possibilities presented may be analogically exploited in the topics mentioned in all the three main Industry 4.0 theme groups.

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Acknowledgments

The project is granted by European Union and financed from European Regional Development Fund under the Smart Growth Program. The project is implemented as a part of ‘Szybka Ścieżka’ competition organized by The National Centre of Research and Development. POIR.01.01.01-00-1111/17.

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Correspondence to Joanna Gąbka .

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Gąbka, J. (2019). Edge Computing Technologies as a Crucial Factor of Successful Industry 4.0 Growth. The Case of Live Video Data Streaming. In: Trojanowska, J., Ciszak, O., Machado, J., Pavlenko, I. (eds) Advances in Manufacturing II. MANUFACTURING 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-18715-6_3

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  • DOI: https://doi.org/10.1007/978-3-030-18715-6_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-18714-9

  • Online ISBN: 978-3-030-18715-6

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