Real‐Time Mild and Moderate COVID‐19 Human Body Temperature Detection Using Artificial Intelligence

Abstract

Chapter 11 Real-Time Mild and Moderate COVID-19 Human Body Temperature Detection Using Artificial Intelligence K. Logu, K. Logu [email protected] Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, IndiaSearch for more papers by this authorT. Devi, T. Devi Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, IndiaSearch for more papers by this authorN. Deepa, N. Deepa Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, IndiaSearch for more papers by this authorS. Rakesh Kumar, S. Rakesh Kumar School of Computer Science and Engineering, Galgotias University, Uttar Pradesh, IndiaSearch for more papers by this authorN. Gayathri, N. Gayathri School of Computer Science and Engineering, Galgotias University, Uttar Pradesh, IndiaSearch for more papers by this author K. Logu, K. Logu [email protected] Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, IndiaSearch for more papers by this authorT. Devi, T. Devi Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, IndiaSearch for more papers by this authorN. Deepa, N. Deepa Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, IndiaSearch for more papers by this authorS. Rakesh Kumar, S. Rakesh Kumar School of Computer Science and Engineering, Galgotias University, Uttar Pradesh, IndiaSearch for more papers by this authorN. Gayathri, N. Gayathri School of Computer Science and Engineering, Galgotias University, Uttar Pradesh, IndiaSearch for more papers by this author Book Editor(s):Ashutosh Kumar Dubey, Ashutosh Kumar DubeySearch for more papers by this authorAbhishek Kumar, Abhishek KumarSearch for more papers by this authorS. Rakesh Kumar, S. Rakesh KumarSearch for more papers by this authorN. Gayathri, N. GayathriSearch for more papers by this authorPrasenjit Das, Prasenjit DasSearch for more papers by this author First published: 15 April 2021 https://doi.org/10.1002/9781119711230.ch11Citations: 2 AboutPDFPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShareShare a linkShare onEmailFacebookTwitterLinkedInRedditWechat Summary Day by day, COVID-19 cases are increasing all over the world. Without a proper vaccine to control the disease, the only solution so far is social distancing and identifying the disease at an early stage. In more than 80% of confirmed cases there are only mild symptoms, like fever; therefore, we have to check the body temperature of people in public places like shopping malls, hotels, airports, schools and universities, etc. In this chapter we propose contactless temperature (CT) measurement utilizing thermal (TS), RGB, and 3D sensors. We also propose a fever location camera (FLC) which gives high-quality estimates from up to 2 or 3 meters away. Using cutting-edge technology, the fever location framework (FLF) estimates the internal heat level of individuals in groups of three or four by checking and filtering their face temperatures. If a high temperature is identified, the framework sounds an alarm or cautioning message, which has propelled face recognition technology. The framework, which is based on the investigation of face temperature, guarantees high-quality estimations. Using facial recognition (FR) likewise limits false readings; for example, an individual carrying a hot beverage. Using a devoted programming stage, a signal can be set to inform us of unusual temperatures. It can precisely recognize the facial temperature (FT) of numerous individuals quickly, with an exactness of ≤ 0.3 °C. Temperature recognition range can be set with the ideal location of up to 3 meters in the framework highlighted by a bi-directional double-channel (infrared light + visible light) camera utilizing a heated sensor and low level interference signals. References De Jong, J.C., Claas, E.C.J., Os