{"title":"BIM中实时人脸识别与可视化的集成","authors":"Chia-En Yang, Yangtai Shen, Shih-Hao Liao","doi":"10.1109/ECICE50847.2020.9301999","DOIUrl":null,"url":null,"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.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Integration of Real-time Facial Recognition and Visualization in BIM\",\"authors\":\"Chia-En Yang, Yangtai Shen, Shih-Hao Liao\",\"doi\":\"10.1109/ECICE50847.2020.9301999\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":130143,\"journal\":{\"name\":\"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECICE50847.2020.9301999\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECICE50847.2020.9301999","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Integration of Real-time Facial Recognition and Visualization in BIM
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.