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Erschienen in:
2022 | OriginalPaper | Buchkapitel
An Automated System for Facial Mask Detection and Face Recognition During COVID-19 Pandemic
verfasst von : Swati Shinde, Pragati Janjal, Gauri Pawar, Rutuja Rashinkar, Swapnil Rokade
Erschienen in: Cyber Security, Privacy and Networking
Verlag: Springer Nature Singapore
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Abstract
The coronavirus (COVID-19) pandemic
is an ongoing pandemic of coronavirus disease-2019. It is still spreading continuously across the globe, causing huge economic and social disruption. There are many measures that are suggested by the World Health Organization (WHO) to reduce the spread of this disease. In this paper, we are proposing a system in which people wear masks or not in public and recognize faces who do not wear masks. We detect the people who are monitored by using Webcam and those who are not wearing masks, and the corresponding authority is informed about the same by using convolutional neural network (CNN) with a mobile net and Haar cascade algorithm. The proposed model will help to reduce the spread of the virus and check the safety of surrounding people.