Covid Mask Detection and Social distancing

Sonali Mane , Ankita sapkal , Shivani Fattepurkar , Samrudhi Borgaonkar

COVID-19's spread has reached pandemic proportions, spreading across 200 countries in just a few months. In this COVID-19 emergency, particularly when there is still a need,to take precautions, and there are no developed vaccines availablen In the first phase of vaccine distribution, all developing countries,The virus is rapidly spreading via direct and indirect contact.The World Health Organization (WHO) has issued standard recommendations for preventing the spread of COVID-19, including the importance of wearing face masks. The overabundance Manual disinfection systems have also become an infection source. T The spread of COVID-19 has reached pandemic proportions.and has already spread across 200 countries in a short period of time To reduce the chances and risk of COVID-19 spreading, a low-cost, rapid, scalable, and effective virus spread control and screening system is needed For all public places entrances, we proposed an IoT-based Smart Screening and Disinfection Walkthrough Gate (SSDWG). The SSDWG is intended for quick screen-ing, including temperature measurement with a contact-free sensor and storage of the suspected individual's record for future control and monitoring. Our suggestion For face mask detection and classification, the IoT-based screening system used real-time deep learning models. This particular module individuals who wear the face mask correctly, incorrect-ly,Using VGG-16, MobileNetV2, and Inception with and without a face mask. A transfer learning approach was used to train v3, ResNet-50, and CNN. The highest mask detection and classification module accuracy was 99.81. We also used classification to categorise the individuals' face masks, which were either N-95 or surgical masks. We also compared the results of our proposed system to current methods, and we strongly suggested that our system could be used to stop local transmission from spreading

"Covid Mask Detection and Social distancing ", IJRTI - International Journal for Research Trends and Innovation (www.IJRTI.org), ISSN:2456-3315, Vol.7, Issue 7, page no.378 - 380, July-2022, Available :https://ijrti.org/papers/IJRTI2207054.pdf

Volume 7 Issue 7, July-2022

Pages : 378 - 380

Paper Reg. ID: IJRTI_182933

Published Paper Id: IJRTI2207054

Downloads: 205,606

Research Area: Computer Engineering 

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijrti.org/papers/IJRTI2207054

Published Paper URL: https://ijrti.org/viewpaperforall?paper=IJRTI2207054

ISSN: 2456-3315 | IMPACT FACTOR: 10.57 Calculated By Google Scholar | ESTD YEAR: 2016

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