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This literature review explores the use of augmented reality (AR) and metadata visualisation in the context of Industry 4.0, with an emphasis on the integration of IoT elements. Industry 4.0 pursues the digital transformation of business processes and systems to increase competitiveness. However, new studies suggest that AR and mixed reality (MR) can play a key role in this context. This paper analyses publications from 2020 to 2024 in the Web of Science database. Using a filter, 60 publications were selected and then 9 of them were analysed in detail based on refining criteria. The findings suggest a decreasing trend in the number of publications, which may indicate a need for further research and focus in this area. We focused, among other things, on identifying the AR hardware used, where HoloLens 2 is predominant. AR with IoT opens new possibilities in data interpretation and integration, which can be used in rapid prototyping or in the field of manufacturing error prevention. Several studies have revealed significant improvements in machine fault detection and more efficient work for technicians. AR applications are mainly focused on predictive maintenance, manufacturing, and safety.

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Augmented Reality and Visualisation of Metadata in the Landscape of Industry 4.0: A Succinct Literature Review

  • 会议论文

  • 发表日期：

    2026年

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  • Tomáš Macháč,
  • Petr Hořejší,
  • Michal Šimon

摘要

This literature review explores the use of augmented reality (AR) and metadata visualisation in the context of Industry 4.0, with an emphasis on the integration of IoT elements. Industry 4.0 pursues the digital transformation of business processes and systems to increase competitiveness. However, new studies suggest that AR and mixed reality (MR) can play a key role in this context. This paper analyses publications from 2020 to 2024 in the Web of Science database. Using a filter, 60 publications were selected and then 9 of them were analysed in detail based on refining criteria. The findings suggest a decreasing trend in the number of publications, which may indicate a need for further research and focus in this area. We focused, among other things, on identifying the AR hardware used, where HoloLens 2 is predominant. AR with IoT opens new possibilities in data interpretation and integration, which can be used in rapid prototyping or in the field of manufacturing error prevention. Several studies have revealed significant improvements in machine fault detection and more efficient work for technicians. AR applications are mainly focused on predictive maintenance, manufacturing, and safety.