Copyright © 2025 Authors retain the copyright of this article. This article 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.

@article{151382,
        author = {Aarti Deshmukh and Nikita More and Akansha Bedh and S. R. Pawar},
        title = {Coronavirus (COVID-19) symptoms detector device},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {12},
        pages = {484-486},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151382},
        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.},
        keywords = {COVID-19,pulse sensor, temperature sensor, machine Learning, image processing.},
        month = {},
        }