COVID-19 suspected person detection and identification using thermal imaging-based closed circuit television camera and tracking using drone in Internet of Things. (15th January 2022)

• Record Type: Journal Article
• Authors: Mehra, Pawan Singh; Mehra, Yogita Bisht; Dagur, Arvind; Dwivedi, Anshu Kumar; Doja, M.N.; Jamshed, Aatif
• Is Part Of: International journal of computer applications technology. Volume 66:Number 3/4(2021)
• Page Start: 340
• Page End: 349
• Publication Date: 2022-01-15
• Subjects: coronavirus -- COVID-19 -- face recognition -- drone -- Internet of Things -- automation -- deep learning; Technology -- Data processing -- Periodicals; 620.00285
• Languages: English
• ISSNs: 0952-8091

Abstract

COVID-19 has emerged as a worldwide health concern. It is very hard to check or scan every individual. In this paper, we have propounded a system where the suspected person can be easily detected and identified for COVID-19 by using thermal imaging-based closed-circuit television. The thermal imaging-based closed-circuit television will automatically scan the person in vicinity and capture the video/image of the suspected person. The system will raise an alarm in the vicinity so that people in vicinity keep clear of each other. The recorded video/image will be forwarded to the base station and information about the suspected person will be fetched from the server. Meanwhile, the drones will be used for tracking the suspected person until the nodal medical team diagnoses the suspected person for confirmation. The proposed system can contribute significantly to curbing the rate of infected COVID-19 persons and prevent further spread of this pandemic disease.