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http://dx.doi.org/10.14702/JPEE.2021.301

Development of Non-Face-To-Face Heat Sensor Module for AI Automated Access Control System and Linkage with Education Program  

Lee, Hyo-Jai (Department of Smart Automation, Korea Polytechnic)
Kim, Eungsuk (Soludus)
Hong, Chang-Ho (Department of Smart Automation, Korea Polytechnic)
Publication Information
Journal of Practical Engineering Education / v.13, no.2, 2021 , pp. 301-304 More about this Journal
Abstract
In this study, we developed a module that can perform two functions at the same time through interworking between a personal recognition module and a heat detection module in the era of COVID-19. This can simultaneously solve the problem of compatibility of the personal recognition module that occurs in the existing system and the problem of secondary infection that can occur during congestion due to the separate implementation of heat detection. Therefore, in this study, NFC and Bluetooth motherboards were developed, and an array-type non-contact temperature sensor was applied to detect heat. The developed system is expected to be able to realize both access control of floating population and effective quarantine at the same time in public institutions or private companies that require AI automated access control. In addition, it is judged that it is possible to link the embedded programming and web programming implementation method using the module of the development system to the educational program.
Keywords
AI automation; Heat detector; Identification Information; Non-face-to-face; Smart authentication;
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