Integration of Real-time Facial Recognition and Visualization in BIM

Chia En Yang, Yang Ting Shen, Shih Hao Liao

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publication2nd IEEE Eurasia Conference on IOT, Communication and Engineering 2020, ECICE 2020
EditorsTeen-Hang Meen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages243-245
Number of pages3
ISBN (Electronic)9781728180601
DOIs
Publication statusPublished - 2020 Oct 23
Event2nd IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2020 - Yunlin, Taiwan
Duration: 2020 Oct 232020 Oct 25

Publication series

Name2nd IEEE Eurasia Conference on IOT, Communication and Engineering 2020, ECICE 2020

Conference

Conference2nd IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2020
CountryTaiwan
CityYunlin
Period20-10-2320-10-25

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

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