Ekra Bin Syed Mojib, A. B. Haque, M. A. Raihan, Mahbubur Rahman, Fahad Bin Alam
{"title":"A Novel Approach for Border Security; Surveillance Drone with Live Intrusion Monitoring","authors":"Ekra Bin Syed Mojib, A. B. Haque, M. A. Raihan, Mahbubur Rahman, Fahad Bin Alam","doi":"10.1109/RAAICON48939.2019.33","DOIUrl":null,"url":null,"abstract":"Everything is being automated day-by-day. Automation has made life flexible. Border security is one of the most crucial aspects of a country's defense. Monitoring the border with human labor is a very tough job as it requires constant attention and overwatch. In this paper, we have proposed an idea to make border security more vigilant and active. As quadcopters fly in the sky and record everything with a wide-angle, it becomes easy to watch an extensive area with one drone. Along with the help of machine learning, we can easily detect the intrusion (human & another animal) from the video captured by the drone. If we fly a drone around a large area, then only one drone can do the work of 10 to 30 border guard humans very quickly, which is very much feasible.","PeriodicalId":102214,"journal":{"name":"2019 IEEE International Conference on Robotics, Automation, Artificial-intelligence and Internet-of-Things (RAAICON)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Robotics, Automation, Artificial-intelligence and Internet-of-Things (RAAICON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAAICON48939.2019.33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Everything is being automated day-by-day. Automation has made life flexible. Border security is one of the most crucial aspects of a country's defense. Monitoring the border with human labor is a very tough job as it requires constant attention and overwatch. In this paper, we have proposed an idea to make border security more vigilant and active. As quadcopters fly in the sky and record everything with a wide-angle, it becomes easy to watch an extensive area with one drone. Along with the help of machine learning, we can easily detect the intrusion (human & another animal) from the video captured by the drone. If we fly a drone around a large area, then only one drone can do the work of 10 to 30 border guard humans very quickly, which is very much feasible.