智能监控和安全机器人系统

Kyunghoon Kim, Soonil Bae, Kwan-Yong Huh
{"title":"智能监控和安全机器人系统","authors":"Kyunghoon Kim, Soonil Bae, Kwan-Yong Huh","doi":"10.1109/ARSO.2010.5679624","DOIUrl":null,"url":null,"abstract":"This paper presents a new security solution that integrates vision, intelligent algorithm and robot technology. The solution can be applied to guarding large facilities, critical infrastructures and national borders. While conventional security solutions rely on human operator's vigilance on the images provided by cameras, the proposed solution uses machine intelligence to compensate for human factors and robots to provide immediate counter response. The system is currently deployed at Korea National Oil Corporation's Seosan oil reserve facility. Overall structure of the system and description of each component are presented.","PeriodicalId":164753,"journal":{"name":"2010 IEEE Workshop on Advanced Robotics and its Social Impacts","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"34","resultStr":"{\"title\":\"Intelligent surveillance and security robot systems\",\"authors\":\"Kyunghoon Kim, Soonil Bae, Kwan-Yong Huh\",\"doi\":\"10.1109/ARSO.2010.5679624\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new security solution that integrates vision, intelligent algorithm and robot technology. The solution can be applied to guarding large facilities, critical infrastructures and national borders. While conventional security solutions rely on human operator's vigilance on the images provided by cameras, the proposed solution uses machine intelligence to compensate for human factors and robots to provide immediate counter response. The system is currently deployed at Korea National Oil Corporation's Seosan oil reserve facility. Overall structure of the system and description of each component are presented.\",\"PeriodicalId\":164753,\"journal\":{\"name\":\"2010 IEEE Workshop on Advanced Robotics and its Social Impacts\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"34\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Workshop on Advanced Robotics and its Social Impacts\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ARSO.2010.5679624\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Workshop on Advanced Robotics and its Social Impacts","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARSO.2010.5679624","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 34

摘要

本文提出了一种集视觉、智能算法和机器人技术于一体的新型安全解决方案。该解决方案可用于保护大型设施、关键基础设施和国界。传统的安全解决方案依赖于人类操作员对摄像机提供的图像的警惕性,而该解决方案使用机器智能来补偿人为因素,并使用机器人提供即时的反响应。该系统目前部署在韩国石油公社瑞山油田储备设施。给出了系统的总体结构和各组成部分的描述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent surveillance and security robot systems
This paper presents a new security solution that integrates vision, intelligent algorithm and robot technology. The solution can be applied to guarding large facilities, critical infrastructures and national borders. While conventional security solutions rely on human operator's vigilance on the images provided by cameras, the proposed solution uses machine intelligence to compensate for human factors and robots to provide immediate counter response. The system is currently deployed at Korea National Oil Corporation's Seosan oil reserve facility. Overall structure of the system and description of each component are presented.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信