{"title":"Infrared-Imaging Enabled Drone for the Detection of Infiltrators and Concealed Weapons","authors":"R. Hema, Gayathri Subramanian","doi":"10.1109/irtm54583.2022.9791532","DOIUrl":null,"url":null,"abstract":"Drone surveillance using high-definition RGB cameras or night vision cameras has been a game changer in the field of Defense surveillance. Yet, several shortcomings are encountered in most of the existing surveillance systems due to natural changes in the ambient light which makes the analysis of digital-color images complicated and inefficient. None of the approaches to allay the said problem (viz. equipping the system with sufficient training datasets to compensate for diminution in the illumination) can ensure the detection of trespasser in dark. An autonomous drone surveillance system enabled with a high-definition thermal imaging camera and appropriate image-processing software for simulation and information retrieval has catered to the said requirement, thereby paving way for high efficiency in trespasser and concealed weapon detection.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Interdisciplinary Research in Technology and Management (IRTM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/irtm54583.2022.9791532","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
Drone surveillance using high-definition RGB cameras or night vision cameras has been a game changer in the field of Defense surveillance. Yet, several shortcomings are encountered in most of the existing surveillance systems due to natural changes in the ambient light which makes the analysis of digital-color images complicated and inefficient. None of the approaches to allay the said problem (viz. equipping the system with sufficient training datasets to compensate for diminution in the illumination) can ensure the detection of trespasser in dark. An autonomous drone surveillance system enabled with a high-definition thermal imaging camera and appropriate image-processing software for simulation and information retrieval has catered to the said requirement, thereby paving way for high efficiency in trespasser and concealed weapon detection.