基于深度学习的口罩检测系统

S. Kurlekar, A. A. Omanna, O. Deshpande, D. B. Patil
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引用次数: 0

摘要

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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Face mask detection system using deep learning
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.
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