Object Re-identification for Digital Twin Enabled Facility and Workplace Management

Haohong LIAO, Jun Frank XU, S Thomas NG*, Xu WANG, Giin-Yu TAN, Xiaowei LUO, Shasha WANG

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Real-time inspection, monitoring, and surveillance are crucial for smarter facility and workplace management in the era of hybrid working. Object identification is a key aspect of digital twin enabled smart workplace management in varisou industrial applications. Despite the adoption of various cutting-edge technologies in facility management, there is limited research on deploying object re-identification (Re-ID) technology effectively. This study aims to fill this gap by conducting a comprehensive review on object Re-ID technology and relevant applications, categorizing challenges in facility and workplace management and summarizing typical tasks and use cases for digital twin enabled solutions. Furthermore, future research and development directions are outlined. This investigation shall contribute to improving the efficiency and reliability of facilities and workplaces by integrating object Re-ID and digital twin technologies. © 2023 30th EG-ICE: International Conference on Intelligent Computing in Engineering 2023. All rights reserved.

Publication series

NameEG-ICE: International Conference on Intelligent Computing in Engineering

Conference

Conference30th EG-ICE: International Conference on Intelligent Computing in Engineering (EG-ICE 2023)
Abbreviated titleEG-ICE2023
PlaceUnited Kingdom
CityLondon
Period4/07/237/07/23
Internet address

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