Application of People Flow and Face Mask Detection for Smart Anti-Epidemic
2021 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2021
; 2021.
Article
in English
| Scopus | ID: covidwho-1685106
ABSTRACT
During the COVID-19 pandemic, World Health Organization (WHO) published two protection methods. One is maintaining social distance;the other is wearing the mask. Many reports indicate that keeping a safe distance and wearing face masks can reduce the risk of transmission during this pandemic. In this paper, we present a deep learning pipeline that can achieve pedestrian flow statistics, identify correct and incorrect mask-wearing simultaneously from real-time video streams. In our proposed system, the live video stream is taken as input. The alert will be broadcasted when people crowed and someone do not wear the mask. Experimental results show that the proposed system can achieve an effective detection solution and reduce the risk of infection. © 2021 IEEE.
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Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2021 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2021
Year:
2021
Document Type:
Article
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