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Face Mask and Social Distance Monitoring via Computer Vision and Deployable System Architecture

Intelligent Automation & Soft Computing 2023年第3期35卷 3641-3658页

作者： Meherab Mamun Ratul Kazi Ayesha rahman Javeria Fazal naimur rahman abanto Riasat Khan Department of Electrical and Computer Engineering North South UniversityDhakaBangladesh

The coronavirus(COVID-19)is a lethal virus causing a rapidly infec-tious disease throughout the *** awareness,taking preventive mea-sures,imposing strict restrictions on public gatherings,wearing facial masks,and maintaining safe social distancing have become crucial factors in keeping the virus at *** though the world has spent a whole year preventing and curing the disease caused by the COVID-19 virus,the statistics show that the virus can cause an outbreak at any time on a large scale if thorough preventive measures are not maintained ***ﬁght the spread of this virus,technologically developed systems have become very ***,the implementation of an automatic,robust,continuous,and lightweight monitoring system that can be efﬁciently deployed on an embedded device still has not become prevalent in the mass *** paper aims to develop an automatic system to simul-taneously detect social distance and face mask violation in real-time that has been deployed in an embedded system.A modiﬁed version of a convolutional neural network,the ResNet50 model,has been utilized to identify masked faces in *** Only Look Once(YOLOv3)approach is applied for object detection and the DeepSORT technique is used to measure the social *** efﬁciency of the proposed model is tested on real-time video sequences taken from a video streaming source from an embedded system,Jetson Nano edge computing device,and smartphones,Android and iOS *** results show that the implemented model can efﬁciently detect facial masks and social distance viola-tions with acceptable accuracy and precision scores.

关键词： Artiﬁcial intelligence COVID-19 deep learning technique face mask detection social distance monitor you only look once

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