{"title":"Face mask detection system using deep learning","authors":"S. Kurlekar, A. A. Omanna, O. Deshpande, D. B. Patil","doi":"10.17762/TURCOMAT.V12I7.2845","DOIUrl":null,"url":null,"abstract":"In the present scenario due to Covid-19, there are no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential districts, large-scale manufacturers and other enterprises to ensure safety. This system can therefore be used in real-time applications which require face-mask detection for safety purposes due to the outbreak of Covid-19. This project can be integrated with embedded systems for application in airports, railway stations, offices, schools, and public places to ensure that public safety guidelines are followed. © 2021 Karadeniz Technical University. All rights reserved.","PeriodicalId":52230,"journal":{"name":"Turkish Journal of Computer and Mathematics Education","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Turkish Journal of Computer and Mathematics Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17762/TURCOMAT.V12I7.2845","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0
基于深度学习的口罩检测系统
在新冠肺炎造成的当前情况下,没有高效的口罩检测应用程序,目前对交通工具、人口密集地区、住宅区、大型制造商和其他企业的需求很高,以确保安全。因此,由于新冠肺炎的爆发,该系统可以用于出于安全目的需要进行人脸检测的实时应用。该项目可以与嵌入式系统集成,用于机场、火车站、办公室、学校和公共场所,以确保遵守公共安全准则。©2021卡拉德尼兹工业大学。保留所有权利。
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