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Holistic Approach to Smart Factory

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Artificial Intelligence for Knowledge Management (AI4KM 2021)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 614))

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Abstract

This article presents the key elements of the digitalization of a system, industrial and non, providing a new holistic formulation for Industry 4.0, I4.0, and a concept base of a new API system in the field of Digital Twin for industrial integrated smart solutions based on Internet of Think, IoT, devices. The general approach is also considered for “traditional” industries which come to be I4.0 and as a suitable element for virtual training and decision-making system for industrial e non -industrial customers in a vision of future application in a Virtual reality, VR, environment. In particular, this research defines a formula - CMon - representative of the digitalization of any system and the realization of an API, DTNet, able to create in real- time a Digital Twin, DT, of a single object from a video, realized through any device, using Deep Learning Techniques and then integrate it in a VR environment for a more accurate predictive analysis.

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Author information

Authors and Affiliations

  1. Széchenyi István University, Egyetem tér 1, Győr, 9026, Hungary

    Cristina Monsone

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  1. Cristina Monsone
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Correspondence to Cristina Monsone .

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Editors and Affiliations

  1. University of Reims Champagne-Ardenne, Reims, France

    Eunika Mercier-Laurent

  2. Istanbul Technical University, Istanbul, Turkey

    M. Özgür Kayalica

  3. Wroclaw University of Economics and Business, Wroclaw, Poland

    Mieczyslaw Lech Owoc

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Monsone, C. (2021). Holistic Approach to Smart Factory. In: Mercier-Laurent, E., Kayalica, M.Ö., Owoc, M.L. (eds) Artificial Intelligence for Knowledge Management. AI4KM 2021. IFIP Advances in Information and Communication Technology, vol 614. Springer, Cham. https://doi.org/10.1007/978-3-030-80847-1_11

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  • DOI: https://doi.org/10.1007/978-3-030-80847-1_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80846-4

  • Online ISBN: 978-3-030-80847-1

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