UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 4
April-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2204589


Registration ID:
401053

Page Number

f692-f697

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Title

Covid 19 Drone (Face detection ,social distancing and bio sensor)

Abstract

In recent years several research have improved the means by which human to machine interaction is possible; one of such machines is DRONE. A drone is an unmanned aircraft. It is a flying ROBOT. Drones can be remotely controlled. Also, sensors and GPS can be attached to them. A drone has large potential for performing task that are very dangerous for humans. A quadcopter is also called as quadrotor helicopter or quadrotor. It is a drone that is lifted and propelled by four rotors. By changing the speed of each rotor, it is possible to specifically generate a desired total thrust; to locate for the center of thrust both laterally and longitudinally; and to create a desired total torque or turning force. A quadcopter is lifted and propelled by four rotors. All 4 arms of quadcopter have a motor and a propeller at each of their ends. This project was taken with an idea of the current pandemic situation we all are fighting. Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. It is similar to influenza viruses and raises concerns through alarming levels of spread and severity resulting in an ongoing pandemic worldwide. Within eight months (by August 2020), it infected 24.0 million persons worldwide and over 824 thousand have died. Drones or unmanned Aerial Vehicles (UAVs) are very helpful in handling the COVID-19 pandemic. The drone will move aerially for almost 30 mins and will simultaneously collect the data. If the person is not wearing a mask or person is not maintaining the social distancing that it will raise an alarm informing that they need to follow some social distancing or wear a mask so that we can fight this situation. The success of this project ensures that some of our heroes(policeman) now do not need to risk their life. Further, open challenges are identified, and promising research directions are highlighted. The rapid community-spread of novel human coronavirus 2019 (nCOVID19 or SARS-Cov2) and morbidity statistics has put forth an unprecedented urge for rapid diagnostics for quick and sensitive detection followed by contact tracing and containment strategies, especially when no vaccine or therapeutics are known. Currently, quantitative real-time polymerase chain reaction (qRT-PCR) is being used widely to detect COVID-19 from various types of biological specimens, which is time-consuming, labor-intensive and may not be rapidly deployable in remote or resource-limited settings. This might lead to hindrance in acquiring realistic data of infectivity and community spread of SARS-CoV-2 in the population. This review summarizes the existing status of current diagnostic methods, their possible limitations, and the advantages of biosensor- based diagnostics over the conventional ones for the detection of SARS-Cov-2. Novel biosensors used to detect RNA-viruses include CRISPR-Cas9 based paper strip, nucleic-acid based, aptamer-based, antigen-Au/Ag nanoparticles-based electro- chemical biosensor, optical biosensor, and Surface Plasmon Resonance. These could be effective tools for rapid, authentic, portable, and more promising diagnosis in the current pandemic that has affected the world economies and humanity. Present challenges and future perspectives of developing robust biosensors devices for rapid, scalable, and sensitive detection and management of COVID-19 are presented in light of the test-test-test theme of the World Health Organization (WHO).

Key Words

Biosensors · SARS-CoV-2 · COVID-19 · Rapid detection

Cite This Article

"Covid 19 Drone (Face detection ,social distancing and bio sensor)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.f692-f697, April-2022, Available :http://www.jetir.org/papers/JETIR2204589.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Covid 19 Drone (Face detection ,social distancing and bio sensor)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppf692-f697, April-2022, Available at : http://www.jetir.org/papers/JETIR2204589.pdf

Publication Details

Published Paper ID: JETIR2204589
Registration ID: 401053
Published In: Volume 9 | Issue 4 | Year April-2022
DOI (Digital Object Identifier):
Page No: f692-f697
Country: Mumbai, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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