Global health has been significantly affected by the COVID-19 pandemic, which has led to a substantial number of illnesses and deaths. Globally, public health initiatives including facemasks and social seclusion have been put in place to stop the infection from spreading. The COVID-19 worldwide pandemic, which has had a catastrophic influence on the earth, has more than eight million individuals been afflicted. Masking one’s face. Safe social distance and hand washing are two more safety considerations that must be observed in public settings to avoid contracting the virus from spreading. We provide a successful computer vision-based method that focuses on the real-time monitoring of activities and the detection of violations using camera (phone/webcam) or a network linked device. Automated surveillance of individuals to identify both face masks and safe social distance in public settings. A computer sends a warning message with a live image of the individual who breached the Covid Protocols when a breach is found. The purpose of this study paper is to examine how face masks and social isolation can help stop the spread of COVID-19.

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An Ensemble Real-Time Mask Detection Model Using YOLOV4 with CNN Model

  • V. Manasa,
  • P. Mansa Devi,
  • G. Karthika,
  • K. Swathi,
  • N. Thirupathi Rao

摘要

Global health has been significantly affected by the COVID-19 pandemic, which has led to a substantial number of illnesses and deaths. Globally, public health initiatives including facemasks and social seclusion have been put in place to stop the infection from spreading. The COVID-19 worldwide pandemic, which has had a catastrophic influence on the earth, has more than eight million individuals been afflicted. Masking one’s face. Safe social distance and hand washing are two more safety considerations that must be observed in public settings to avoid contracting the virus from spreading. We provide a successful computer vision-based method that focuses on the real-time monitoring of activities and the detection of violations using camera (phone/webcam) or a network linked device. Automated surveillance of individuals to identify both face masks and safe social distance in public settings. A computer sends a warning message with a live image of the individual who breached the Covid Protocols when a breach is found. The purpose of this study paper is to examine how face masks and social isolation can help stop the spread of COVID-19.