UGC Approved Journal no 63975(19)

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

Volume 9 Issue 9
September-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2209567


Registration ID:
502904

Page Number

f344-f351

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Title

Embedded Based Wearable Sensing Technology for Detection and Monitoring of Corona Virus Pandemic

Abstract

Corona virus disease (COVID-19), a scourge with severe clinical signs and symptoms, is now lethal. A global catastrophe like COVID-19 puts unheard-of demands on health systems worldwide, causes misery for vulnerable communities, and presents a new type of catastrophic threat to international society. It's important to look at the technologies and mechanisms for preventing disease from emerging, slowing its spread, and particularly the plan for illnesses prevention. While significant efforts are being made to find the virus, develop treatments, and create vaccines, it's also very important to look at these. In a pandemic situation caused by viruses that spread illness, such as COVID-19, it is required to identify persons who have been infected by those viruses, track them continually, segregate them at the appropriate moment, and acquire them for physical observations and treatment. Follow those who have been infected in real time because they may be at danger of spreading the virus to others even though they won't show symptoms for more than a few days. Additionally, a large number of medical professionals are required to keep an eye on patients and manually take measurements like their temperature, blood oxygen level, pulse rate, etc. This technique is time consuming and hazardous. The proposed project work introduce a image processing technique and the embedded technological advancements that replace human services needs as way as doable, the image processing technique accurately checks and confirms the presence of the infection and the embedded system part provides the mandatory readings from the infected person to the medical workers and helps them to supply the mandatory aid with less burden. Hence the entire system can together detect as well as monitor the infected people.

Key Words

Embedded System, Image Processing, Raspberry Pi Pico, CNN - Convolutional Neural Network, Corona.

Cite This Article

"Embedded Based Wearable Sensing Technology for Detection and Monitoring of Corona Virus Pandemic", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.f344-f351, September-2022, Available :http://www.jetir.org/papers/JETIR2209567.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

"Embedded Based Wearable Sensing Technology for Detection and Monitoring of Corona Virus Pandemic", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppf344-f351, September-2022, Available at : http://www.jetir.org/papers/JETIR2209567.pdf

Publication Details

Published Paper ID: JETIR2209567
Registration ID: 502904
Published In: Volume 9 | Issue 9 | Year September-2022
DOI (Digital Object Identifier):
Page No: f344-f351
Country: Hassan, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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