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

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. 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\":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}
引用次数: 0

摘要

近年来,由于施工现场安全事故频发,死亡人数不断上升,安全形势不容乐观。为此,住房和城乡建设部印发了《关于促进建筑业发展改革的若干意见》,要求全面推进“智慧工地”建设。与传统的施工现场管理相比,“智能施工现场”是指利用信息化技术,将施工现场管理理论与大数据分析、人工智能技术相结合,统一管理施工现场分散的信息进行数据分析,保证施工现场人员和设备的安全,提高政府与施工企业之间的沟通效率,并为工程的有序进行提供了依据。基于人工智能图像识别技术的建筑工地违法行为智能识别研究是一项针对建筑工地违法行为识别的研究工作。本研究的主要目的是通过安装在建筑工地周围不同位置的摄像机拍摄的图像来检测违规行为及其位置。这项工作将帮助工程师、建筑师和其他与建筑工地打交道的人。该项目旨在开发一个可以识别建筑工地违规行为的系统,这对工地工人非常有用。该系统将通过分析安装在施工现场不同区域的摄像头拍摄的图像,确定是否存在违规行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Deep Learning-Based Solution for Differently-Abled Persons in The Society CARP-YOLO: A Detection Framework for Recognising and Counting Fish Species in a Cluttered Environment Implementation of Covid patient Health Monitoring System using IoT ESP Tuning to Reduce Auxiliary Power Consumption and Preserve Environment Real-time Recognition of Indian Sign Language using OpenCV and Deep Learning
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1