Bo Shan, Xiaoyang Wang, Xuekai Zhang, P. Huang, Qian Li
{"title":"基于人工智能图像识别技术的施工现场违规行为智能识别","authors":"Bo Shan, Xiaoyang Wang, Xuekai Zhang, P. Huang, Qian Li","doi":"10.1109/INCET57972.2023.10170510","DOIUrl":null,"url":null,"abstract":"In recent years, the safety situation is not optimistic because of the frequent construction site safety accidents and the rising death toll. Therefore, the Ministry of Housing and Urban Rural Development issued the document \"Several Opinions on Promoting the Development and Reform of the Construction Industry\", requesting to comprehensively promote the construction of \"smart construction sites\". Compared with the traditional construction site management, \"smart construction site\" refers to the use of information technology, combining construction site management theory with big data analysis and artificial intelligence technology, and unifying the management of scattered information on the construction site for data analysis to ensure the safety of personnel and equipment on the construction site, improve the communication efficiency between the government and construction enterprises, and provide a basis for the orderly progress of the project. The research on intelligent recognition of illegal behaviors in construction sites based on artificial intelligence image recognition technology is a research work on identifying illegal behaviors in construction sites. The main purpose of this study is to detect violations and their locations from images taken by cameras installed at different locations around the construction site. This work will help engineers, architects and others who deal with construction sites. The project aims to develop a system that can identify violations on construction sites, which is very useful for site workers. The system will be able to determine whether there are any violations by analyzing images taken by cameras installed in different areas of the construction site.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"524 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intelligent Identification of Violation of Rules in Construction Site Based on Artificial Intelligence Image Recognition Technology\",\"authors\":\"Bo Shan, Xiaoyang Wang, Xuekai Zhang, P. 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Compared with the traditional construction site management, \\\"smart construction site\\\" refers to the use of information technology, combining construction site management theory with big data analysis and artificial intelligence technology, and unifying the management of scattered information on the construction site for data analysis to ensure the safety of personnel and equipment on the construction site, improve the communication efficiency between the government and construction enterprises, and provide a basis for the orderly progress of the project. The research on intelligent recognition of illegal behaviors in construction sites based on artificial intelligence image recognition technology is a research work on identifying illegal behaviors in construction sites. The main purpose of this study is to detect violations and their locations from images taken by cameras installed at different locations around the construction site. This work will help engineers, architects and others who deal with construction sites. The project aims to develop a system that can identify violations on construction sites, which is very useful for site workers. The system will be able to determine whether there are any violations by analyzing images taken by cameras installed in different areas of the construction site.\",\"PeriodicalId\":403008,\"journal\":{\"name\":\"2023 4th International Conference for Emerging Technology (INCET)\",\"volume\":\"524 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 4th International Conference for Emerging Technology (INCET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INCET57972.2023.10170510\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 4th International Conference for Emerging Technology (INCET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INCET57972.2023.10170510","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intelligent Identification of Violation of Rules in Construction Site Based on Artificial Intelligence Image Recognition Technology
In recent years, the safety situation is not optimistic because of the frequent construction site safety accidents and the rising death toll. Therefore, the Ministry of Housing and Urban Rural Development issued the document "Several Opinions on Promoting the Development and Reform of the Construction Industry", requesting to comprehensively promote the construction of "smart construction sites". Compared with the traditional construction site management, "smart construction site" refers to the use of information technology, combining construction site management theory with big data analysis and artificial intelligence technology, and unifying the management of scattered information on the construction site for data analysis to ensure the safety of personnel and equipment on the construction site, improve the communication efficiency between the government and construction enterprises, and provide a basis for the orderly progress of the project. The research on intelligent recognition of illegal behaviors in construction sites based on artificial intelligence image recognition technology is a research work on identifying illegal behaviors in construction sites. The main purpose of this study is to detect violations and their locations from images taken by cameras installed at different locations around the construction site. This work will help engineers, architects and others who deal with construction sites. The project aims to develop a system that can identify violations on construction sites, which is very useful for site workers. The system will be able to determine whether there are any violations by analyzing images taken by cameras installed in different areas of the construction site.