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ThermoTrak: smartphone based real-time fever screening: demo abstract

Published:16 November 2020Publication History

ABSTRACT

In this paper, we present "ThermoTrak", a smartphone accessory based, real-time and accurate temperature measurement mechanism, which can be used to screen for fever, which is a manifestation of infectious diseases including the symptoms caused by SARS-CoV-2. Our system accurately identifies face and forehead region from a safe distance of one meter, calculates accurate temperature of forehead with accuracy of ±0.5° C on a linear scale. An AI based algorithm is employed for the purpose of accurately detecting the Region of interest (ROI) (Face & point near center of Forehead) and calculate the absolute temperature within 300 milliseconds.

References

  1. https://www.fda.gov/medical-devices/coronavirus-covid-19-and-medical-devices/non-contact-temperature-assessment-devices-during-covid-19-pandemicGoogle ScholarGoogle Scholar
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  3. https://www.healthline.com/health-news/temperature-checks-not-effective-preventive-measure-against-covid-19Google ScholarGoogle Scholar
  4. https://www.flir.com/browse/professional-tools/mobile-accessories/Google ScholarGoogle Scholar
  5. Kazemi, Vahid, and Josephine Sullivan. "One millisecond face alignment with an ensemble of regression trees." Proceedings of the IEEE conference on computer vision and pattern recognition. 2014.Google ScholarGoogle Scholar
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  7. Viola, Paul, and Michael J. Jones. "Robust real-time face detection." International journal of computer vision 57.2 (2004): 137--154.Google ScholarGoogle Scholar

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  1. ThermoTrak: smartphone based real-time fever screening: demo abstract

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      • Published in

        cover image ACM Conferences
        SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems
        November 2020
        852 pages
        ISBN:9781450375900
        DOI:10.1145/3384419

        Copyright © 2020 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 16 November 2020

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        Overall Acceptance Rate174of867submissions,20%

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