Abstract
In this global health crisis, several efforts have been launched to monitor and control the spread of the COVID-19 pandemic. Those efforts require the support of new technologies like the Internet of Things, Artificial Intelligence, Image and Video Processing, Big Data, and Machine Learning to tackle various problems related to this viral pandemic. In these circumstances, public places such as hospitals, public transportation, and supermarkets need a more scientific and practical system/guidance to identify the probable COVID-19 cases. In this paper, we design an Internet of Things-Artificial Intelligence IoT-AI based intelligent system to monitor the suspect cases in public places. Based on implicit/Explicit data acquisition flow, the system provides information to public authorities. In a public place, the actions of suspicious people are collected by sensors such as thermal cameras, connected cameras, and Smartphone embedded sensors. Subsequently, this data is sent to the system for analysis. Thanks to artificial intelligence technology, the system can extract useful information to determine suspicious COVID-19 cases. In this article, we will describe the proposed global system. The design of this type of system is a trend for the future wider application to deal with COVID-19.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
