{"title":"Wireless real-time monitoring system for outdoor abnormal situations in campus","authors":"H. Yen, Cheng-Wei Zou","doi":"10.1109/ISCE.2013.6570175","DOIUrl":null,"url":null,"abstract":"This paper presents a wireless real-time monitoring system for outdoor abnormal situations in campus. The proposed system captured the real-time video via 17 IP (Internet Protocol) cameras and used self-developed software to perform the judgment computing of different campus abnormal conditions. The judged abnormal situation was recorded, and alerts were automatically sent to pre-specified mobile devices to notify the campus security personnel. Experiments show that the developed system can effectively achieve the performance of immediate monitoring of campus anomalies.","PeriodicalId":442380,"journal":{"name":"2013 IEEE International Symposium on Consumer Electronics (ISCE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Symposium on Consumer Electronics (ISCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCE.2013.6570175","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a wireless real-time monitoring system for outdoor abnormal situations in campus. The proposed system captured the real-time video via 17 IP (Internet Protocol) cameras and used self-developed software to perform the judgment computing of different campus abnormal conditions. The judged abnormal situation was recorded, and alerts were automatically sent to pre-specified mobile devices to notify the campus security personnel. Experiments show that the developed system can effectively achieve the performance of immediate monitoring of campus anomalies.