Real-time Mixed Reality (MR) and Artificial Intelligence (AI) object recognition integration for digital twin in Industry 4.0

Tang, Yuk Ming; Li, Wenqiang; Kuo, Wei Ting; Lee, C. K. M.

doi:10.1016/j.iot.2023.100753

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Digital Twinning In Iiot1

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2024

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Cited by 10 publications

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“…Finally, Tang et al [84] propose the utilization of MR alongside AI to seamlessly integrate digital and physical realms in DT for Industry 4.0, but focusing on the cloud and edge features that can be implemented as NFV functions.…”

Section: Digital Twinning In Iiotmentioning

confidence: 99%

A Survey on AI-Empowered Softwarized Industrial IoT Networks

Rojas,

Carrascal,

Lopez-Pajares

et al. 2024

Electronics

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The future generation of mobile networks envision Artificial Intelligence (AI) and the Internet of Things (IoT) as key enabling technologies that will foster the emergence of sophisticated use cases, with the industrial sector being one to benefit the most. This survey reviews related works in this field, with a particular focus on the specific role of network softwarization. Furthermore, the survey delves into their context and trends, categorizing works into several types and comparing them based on their contribution to the advancement of the state of the art. Since our analysis yields a lack of integrated practical implementations and a potential desynchronization with current standards, we finalize our study with a summary of challenges and future research ideas.

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Section: Digital Twinning In Iiotmentioning

confidence: 99%