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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | Covid Mask Detection and Social distancing |
| Authors Name: | Sonali Mane , Ankita sapkal , Shivani Fattepurkar , Samrudhi Borgaonkar |
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| Author Reg. ID: |
IJRTI_182933
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| Published Paper Id: | IJRTI2207054 |
| Published In: | Volume 7 Issue 7, July-2022 |
| DOI: | |
| Abstract: | 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 |
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| Cite Article: | "Covid Mask Detection and Social distancing ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 7, page no.378 - 380, July-2022, Available :http://www.ijrti.org/papers/IJRTI2207054.pdf |
| Downloads: | 000204879 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2207054
Registration ID:182933
Published In: Volume 7 Issue 7, July-2022
DOI (Digital Object Identifier):
Page No: 378 - 380 Country: Pune, Maharashtra, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2207054 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2207054 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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