Hem Regmi, M. Saadat, Sanjib Sur, Srihari Nelakuditi
{"title":"ZigZagCam","authors":"Hem Regmi, M. Saadat, Sanjib Sur, Srihari Nelakuditi","doi":"10.1145/3446382.3448730","DOIUrl":null,"url":null,"abstract":"HAND-HELD MMWAVE IMAGING The ubiquity of millimeter-wave (mmWave) technology in 5G-andbeyond devices enable opportunities to bring through-obstruction imaging in hand-held, ad-hoc settings. This imaging technique will require manually scanning the scene to emulate a Synthetic Aperture Radar (SAR) [4] and measure back-scattered signals. Appropriate signal focusing can reveal hidden items and can be used to detect and classify shapes automatically. Such hidden object detection and classification could enable multiple applications, such as in-situ security check without pat-down search, baggage discrimination without opening the baggage, packaged inventory item counting without intrusions, etc.","PeriodicalId":324233,"journal":{"name":"Proceedings of the 22nd International Workshop on Mobile Computing Systems and Applications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 22nd International Workshop on Mobile Computing Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3446382.3448730","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
HAND-HELD MMWAVE IMAGING The ubiquity of millimeter-wave (mmWave) technology in 5G-andbeyond devices enable opportunities to bring through-obstruction imaging in hand-held, ad-hoc settings. This imaging technique will require manually scanning the scene to emulate a Synthetic Aperture Radar (SAR) [4] and measure back-scattered signals. Appropriate signal focusing can reveal hidden items and can be used to detect and classify shapes automatically. Such hidden object detection and classification could enable multiple applications, such as in-situ security check without pat-down search, baggage discrimination without opening the baggage, packaged inventory item counting without intrusions, etc.