Coronavirus (COVID-19) symptoms detector device

Coronavirus (COVID-19) symptoms detector device
Author(s):
Aarti Deshmukh, Nikita More, Akansha Bedh, S. R. Pawar
Keywords:
COVID-19,pulse sensor, temperature sensor, machine Learning, image processing.
Abstract
It has been confirmed that Coronavirus disease 2019 (COVID-19) has infected more than 2.7 million people worldwide and caused more than 180,000 deaths. Moreover, some related major serious respiratory diseases have arisen in recent years, such as severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), and Liu et al. have recorded a higher reproductive number of COVID-19 than SARS. More and more consumers are now obsessed about their well-being, and for states, good health is considered a top priority. Fortunately, Leung et al. found that with the use of surgical face masks, coronavirus spread could be reduced. In reality, WHO urges clients to wear face masks if they have respiratory difficulties or treatment for people with symptoms Moreover, many public service providers encourage customers to use the service only if they wear masks As a result, identification of facial masks has become a key obstacle to computer vision to support global society, but research related to detection of facial masks has become a key computer.
Article Details
Unique Paper ID: 151382 Publication Volume & Issue: Volume 7, Issue 12 Page(s): 484 - 486
Article Preview & Download

Share This Article

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021