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Title: :  A Survey on Deep Learning - Based COVID-19 Safety Monitoring
PaperId: :  14674
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 3 2021
DUI:    16.0415/IJARIIE-14674
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Steffy FrancisIES College of Engineering Chittilappilly
Jensy VIES College of Engineering Chittilappilly

Abstract

Computer Engineering
Social distancing, Facemask detection, Yolo v3, Deep learning, Tensorflow
COVID-19 caused drastic changes in civilization, eventually leading to a pandemic. Many businesses have remained unaffected by the rapidly spreading Corona virus. Investigate, the focus is on finding a way to avoid the transit rate. The current research is centered on delving into the many fundamental causes of the problem. The spread of disease and the technological systems' contributions keep it under control. Wearing a facemask and maintaining social distance are two basic ways to avoid transit right away. Deep learning technologies are examples of such technologies. Assisting developers in the analysis of publically available data such as X-rays, CT scans, and text data from numerous conversations in social media, and so on. To determine whether or not social distancing and face mask protection are being monitored, image and video processing are used. The connection of CCTV cameras in the Public areas, public transportation, and hospitals are useful for gathering information. In this survey paper We will discuss about the technologies used for this in detail.

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IJARIIE Steffy Francis, and Jensy V. "A Survey on Deep Learning - Based COVID-19 Safety Monitoring" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 3 2021 Page 2783-2787
MLA Steffy Francis, and Jensy V. "A Survey on Deep Learning - Based COVID-19 Safety Monitoring." International Journal Of Advance Research And Innovative Ideas In Education 7.3(2021) : 2783-2787.
APA Steffy Francis, & Jensy V. (2021). A Survey on Deep Learning - Based COVID-19 Safety Monitoring. International Journal Of Advance Research And Innovative Ideas In Education, 7(3), 2783-2787.
Chicago Steffy Francis, and Jensy V. "A Survey on Deep Learning - Based COVID-19 Safety Monitoring." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 3 (2021) : 2783-2787.
Oxford Steffy Francis, and Jensy V. 'A Survey on Deep Learning - Based COVID-19 Safety Monitoring', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 3, 2021, p. 2783-2787. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/A_Survey_on_Deep_Learning___Based_COVID_19_Safety_Monitoring_ijariie14674.pdf (Accessed : ).
Harvard Steffy Francis, and Jensy V. (2021) 'A Survey on Deep Learning - Based COVID-19 Safety Monitoring', International Journal Of Advance Research And Innovative Ideas In Education, 7(3), pp. 2783-2787IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/A_Survey_on_Deep_Learning___Based_COVID_19_Safety_Monitoring_ijariie14674.pdf (Accessed : )
IEEE Steffy Francis, and Jensy V, "A Survey on Deep Learning - Based COVID-19 Safety Monitoring," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 3, pp. 2783-2787, May-Jun 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/A_Survey_on_Deep_Learning___Based_COVID_19_Safety_Monitoring_ijariie14674.pdf [Accessed : ].
Turabian Steffy Francis, and Jensy V. "A Survey on Deep Learning - Based COVID-19 Safety Monitoring." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 3 ().
Vancouver Steffy Francis, and Jensy V. A Survey on Deep Learning - Based COVID-19 Safety Monitoring. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : ]; 7(3) : 2783-2787. Available from: https://ijariie.com/AdminUploadPdf/A_Survey_on_Deep_Learning___Based_COVID_19_Safety_Monitoring_ijariie14674.pdf
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