Integration of Real-time Facial Recognition and Visualization in BIM

Chia En Yang; Yang Ting Shen; Shih Hao Liao

doi:10.1109/ECICE50847.2020.9301999

Integration of Real-time Facial Recognition and Visualization in BIM

Chia En Yang, Yang Ting Shen, Shih Hao Liao

Department of Architecture

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A BIM-based system is developed to monitor and visualize user information in real-time. By building in-use stages, advantages in tracking facial recognition should be revealed through the availability of real-time information. In this way, the possibility of improving BIM and IoT for data-oriented facility management is investigated. SyncBIM, the integration system is developed on 5 design rules: (1) 3D Information Model Aiding Decision-making, (2) Object orientation design delivering service, (3) Dynamic DB based on real-time monitoring, (4) Mapping data-driven visualized results, and (5) Hierarchical Integration of Contextualized Spatial Information. In this research, we demonstrate the SyncBIM system of real-time facial recognition with appropriate parameters.

Original language	English
Title of host publication	2nd IEEE Eurasia Conference on IOT, Communication and Engineering 2020, ECICE 2020
Editors	Teen-Hang Meen
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	243-245
Number of pages	3
ISBN (Electronic)	9781728180601
DOIs	https://doi.org/10.1109/ECICE50847.2020.9301999
Publication status	Published - 2020 Oct 23
Event	2nd IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2020 - Yunlin, Taiwan Duration: 2020 Oct 23 → 2020 Oct 25

Publication series

Name	2nd IEEE Eurasia Conference on IOT, Communication and Engineering 2020, ECICE 2020

Conference

Conference	2nd IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2020
Country	Taiwan
City	Yunlin
Period	20-10-23 → 20-10-25

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Signal Processing
Biomedical Engineering
Electrical and Electronic Engineering
Control and Optimization
Instrumentation

Access to Document

10.1109/ECICE50847.2020.9301999

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Yang, C. E., Shen, Y. T., & Liao, S. H. (2020). Integration of Real-time Facial Recognition and Visualization in BIM. In T-H. Meen (Ed.), 2nd IEEE Eurasia Conference on IOT, Communication and Engineering 2020, ECICE 2020 (pp. 243-245). [9301999] (2nd IEEE Eurasia Conference on IOT, Communication and Engineering 2020, ECICE 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECICE50847.2020.9301999

Yang, Chia En ; Shen, Yang Ting ; Liao, Shih Hao. / Integration of Real-time Facial Recognition and Visualization in BIM. 2nd IEEE Eurasia Conference on IOT, Communication and Engineering 2020, ECICE 2020. editor / Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 243-245 (2nd IEEE Eurasia Conference on IOT, Communication and Engineering 2020, ECICE 2020).

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abstract = "A BIM-based system is developed to monitor and visualize user information in real-time. By building in-use stages, advantages in tracking facial recognition should be revealed through the availability of real-time information. In this way, the possibility of improving BIM and IoT for data-oriented facility management is investigated. SyncBIM, the integration system is developed on 5 design rules: (1) 3D Information Model Aiding Decision-making, (2) Object orientation design delivering service, (3) Dynamic DB based on real-time monitoring, (4) Mapping data-driven visualized results, and (5) Hierarchical Integration of Contextualized Spatial Information. In this research, we demonstrate the SyncBIM system of real-time facial recognition with appropriate parameters. ",

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doi = "10.1109/ECICE50847.2020.9301999",

language = "English",

series = "2nd IEEE Eurasia Conference on IOT, Communication and Engineering 2020, ECICE 2020",

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Yang, CE, Shen, YT & Liao, SH 2020, Integration of Real-time Facial Recognition and Visualization in BIM. in T-H Meen (ed.), 2nd IEEE Eurasia Conference on IOT, Communication and Engineering 2020, ECICE 2020., 9301999, 2nd IEEE Eurasia Conference on IOT, Communication and Engineering 2020, ECICE 2020, Institute of Electrical and Electronics Engineers Inc., pp. 243-245, 2nd IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2020, Yunlin, Taiwan, 20-10-23. https://doi.org/10.1109/ECICE50847.2020.9301999

Integration of Real-time Facial Recognition and Visualization in BIM. / Yang, Chia En; Shen, Yang Ting; Liao, Shih Hao.

2nd IEEE Eurasia Conference on IOT, Communication and Engineering 2020, ECICE 2020. ed. / Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2020. p. 243-245 9301999 (2nd IEEE Eurasia Conference on IOT, Communication and Engineering 2020, ECICE 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - A BIM-based system is developed to monitor and visualize user information in real-time. By building in-use stages, advantages in tracking facial recognition should be revealed through the availability of real-time information. In this way, the possibility of improving BIM and IoT for data-oriented facility management is investigated. SyncBIM, the integration system is developed on 5 design rules: (1) 3D Information Model Aiding Decision-making, (2) Object orientation design delivering service, (3) Dynamic DB based on real-time monitoring, (4) Mapping data-driven visualized results, and (5) Hierarchical Integration of Contextualized Spatial Information. In this research, we demonstrate the SyncBIM system of real-time facial recognition with appropriate parameters.

AB - A BIM-based system is developed to monitor and visualize user information in real-time. By building in-use stages, advantages in tracking facial recognition should be revealed through the availability of real-time information. In this way, the possibility of improving BIM and IoT for data-oriented facility management is investigated. SyncBIM, the integration system is developed on 5 design rules: (1) 3D Information Model Aiding Decision-making, (2) Object orientation design delivering service, (3) Dynamic DB based on real-time monitoring, (4) Mapping data-driven visualized results, and (5) Hierarchical Integration of Contextualized Spatial Information. In this research, we demonstrate the SyncBIM system of real-time facial recognition with appropriate parameters.

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Yang CE, Shen YT, Liao SH. Integration of Real-time Facial Recognition and Visualization in BIM. In Meen T-H, editor, 2nd IEEE Eurasia Conference on IOT, Communication and Engineering 2020, ECICE 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 243-245. 9301999. (2nd IEEE Eurasia Conference on IOT, Communication and Engineering 2020, ECICE 2020). https://doi.org/10.1109/ECICE50847.2020.9301999

Integration of Real-time Facial Recognition and Visualization in BIM

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