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Novel Face Mask Detection Technique using Machine Learning to control COVID'19 pandemic.
Gupta, Sandeep; Sreenivasu, S V N; Chouhan, Kuldeep; Shrivastava, Anurag; Sahu, Bharti; Manohar Potdar, Ravindra.
  • Gupta S; Department of Electrical Engineering, JECRC University, Jaipur, India.
  • Sreenivasu SVN; Department of Computer Science and Engineering, Narasaraopeta Engineering College, Narasaraopet, Andhra Pradesh, India.
  • Chouhan K; Department of Computer Science and Engineering, I.T.S Engineering College, Greater Noida, India.
  • Shrivastava A; Lakshmi Narain College of Technology and Science Indore, India.
  • Sahu B; Department of Computer Science and Engineering, Dr. D.Y. Patil Institute of Technology, Pimpri, Pune, India.
  • Manohar Potdar R; Department of Electronics and Telecommunication Engineering, Bhilai Institute of Technology, Durg, Chhattisgarh, India.
Mater Today Proc ; 2021 Aug 04.
Article in English | MEDLINE | ID: covidwho-2295985
ABSTRACT
The COVID-19 pandemic has been scattering speedily around the world since 2019. Due to this pandemic, human life is becoming increasingly involutes and complex. Many people have died because of this virus. The lack of antiviral drugs is one of the reasons for the spreading of COVID-19 virus. This disease is spreading continuously and easily due to some common mistakes by people, like breathing, coughing and sneezing by infected persons. The main symptom is the normal flu. Therefore, in the present condition, the best precaution for this disease is the face mask, which covers both areas of mouth & nose. According to the government and the World Health Organization, everyone should wear a face mask in busy places like hospitals and marketplaces. In today's environment, it's difficult to tell if someone is wearing a mask or not, and physical inspection is impractical since it adds to labour costs. In this research, we present a mask detector that uses a machine learning facial categorization system to determine whether a person is wearing a mask or not, so that it may be connected to a CCTV system to verify that only persons wearing masks are allowed in.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Year: 2021 Document Type: Article Affiliation country: J.matpr.2021.07.368

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Full text: Available Collection: International databases Database: MEDLINE Language: English Year: 2021 Document Type: Article Affiliation country: J.matpr.2021.07.368