SmartGate system: Automating the detection and control of COVID-19

The recent worldwide COVID-19 pandemic created the urgent need for innovative solutions to aid in early detection and control of this disease. This research begins by introducing the coronavirus strand and ends with the proposed SmartGate to detect the potential of the virus in patients without human intervention. This is to reduce the manual use of thermometers to measure temperature and to shift the detection to automation. Triz theory principles have been considered in the process of the innovative proposed design of the SmartGate. Implementing the proposed SmartGate in public places such as shopping malls, gardens, schools, supermarkets, etc. will avoid the need for manual measurement and thus reduce exposure to infected people. Furthermore, it aids in identifying infected people in order to guide them to visit the assigned hospitals and prevent the spread of infection. The relational COVID-19 tracking database (RCTD) of possibly infected people can be shared with assigned (to treat COVID-19 patients) local hospital module for further appropriate actions. In this paper, several available technologies are integrated to build an innovative solution that will help the world to live safer and provide a better future for the coming generations.