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Artificial Intelligence: A Tool for COVID-19 Surface Detection
Mukesh Kumar1 , Lokesh Rana2
Section:Survey Paper, Product Type: Journal-Paper
Vol.6 ,
Issue.7 , pp.60-63, Jul-2020
Online published on Jul 31, 2020
Copyright © Mukesh Kumar, Lokesh Rana . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: Mukesh Kumar, Lokesh Rana, “Artificial Intelligence: A Tool for COVID-19 Surface Detection,” International Journal of Scientific Research in Multidisciplinary Studies , Vol.6, Issue.7, pp.60-63, 2020.
MLA Style Citation: Mukesh Kumar, Lokesh Rana "Artificial Intelligence: A Tool for COVID-19 Surface Detection." International Journal of Scientific Research in Multidisciplinary Studies 6.7 (2020): 60-63.
APA Style Citation: Mukesh Kumar, Lokesh Rana, (2020). Artificial Intelligence: A Tool for COVID-19 Surface Detection. International Journal of Scientific Research in Multidisciplinary Studies , 6(7), 60-63.
BibTex Style Citation:
@article{Kumar_2020,
author = {Mukesh Kumar, Lokesh Rana},
title = {Artificial Intelligence: A Tool for COVID-19 Surface Detection},
journal = {International Journal of Scientific Research in Multidisciplinary Studies },
issue_date = {7 2020},
volume = {6},
Issue = {7},
month = {7},
year = {2020},
issn = {2347-2693},
pages = {60-63},
url = {https://www.isroset.org/journal/IJSRMS/full_paper_view.php?paper_id=1997},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRMS/full_paper_view.php?paper_id=1997
TI - Artificial Intelligence: A Tool for COVID-19 Surface Detection
T2 - International Journal of Scientific Research in Multidisciplinary Studies
AU - Mukesh Kumar, Lokesh Rana
PY - 2020
DA - 2020/07/31
PB - IJCSE, Indore, INDIA
SP - 60-63
IS - 7
VL - 6
SN - 2347-2693
ER -
Abstract :
This paper provides an alternative to detect microorganisms using Artificial Intelligence (AI). The limitation of the human eye can be equipped with magnifying tools to see microorganisms like viruses. The electromagnetic nature of light also helps in visualizing microorganisms. The advancement of AI made it easy to classify microorganisms class from existing data. The synthesis of magnifying tools and field variation techniques in various fields with AI made it possible to detect all microorganisms.. The main areas where AI can contribute in the current scenario of COVID-19 is varied from public management to detection using CT Scan / X Ray. The COVID-19 symptom - high temperature, automatic detection is a very common application of AI. The technology advancement enables IA to handle millions of microorganisms data at a time. The lack of spontaneous virus detection technology is a major reason for spreading of novel coronavirus worldwide. The human-AI interaction can help in careful balance between microorganism class data and public health services data to overcome any pandemic situation . This work proposed integration of AI with detection techniques to check the presence of anti human microorganism on various surfaces or in the environment. This can also detect contagious diseases including the flu, the common cold, Ebola, Hantavirus etc. Their detection will decrease the possibilities of getting infected, Infected person segregation not only limits its spreading but also protects others. This detective measure is also one of the current strategies to limit the spread of COVID-19. The proposed detector behaves like a superhuman eye to gather extensive microorganism data on the surface and probably also help in human infection detection. All these not only save life but also limit economic damages through better resource management
Key-Words / Index Term :
Covid-19, Public Health, Artificial Intelligence (AI), Detectors
References :
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