2022
DOI: 10.3390/electronics11193151
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Internet of Things-Based Intelligent Attendance System: Framework, Practice Implementation, and Application

Abstract: Tracking coronavirus patients and determining their close contacts (as part of COVID-19 mapping) have been huge challenges. In universities, in particular, there are many students and large gatherings who are at a higher risk of obtaining COVID-19. Many smart attendance management systems have been proposed that are based on RFID and fingerprint sensor modules, facial recognition, etc. However, these techniques operate with specific requirements, such as GPUs and large memories/datasets, or by combining recogn… Show more

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Cited by 6 publications
(4 citation statements)
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“…Another significant approach is offered by Nguyen et al (2022). In this research, the focus was entirely on practical applications aimed at combating COVID-19.…”
Section: Methodology and Methodsmentioning
confidence: 99%
“…Another significant approach is offered by Nguyen et al (2022). In this research, the focus was entirely on practical applications aimed at combating COVID-19.…”
Section: Methodology and Methodsmentioning
confidence: 99%
“…Van Dung Nguyen et al (14) have been compared the advantages/disadvantages of existing smart attendance management systems. They designed an IoT-based intelligent attendance management system based on the cloud, a web server, Google API, a non-contact body temperature sensor, and the Raspberry Pi 4 module (4G).…”
Section: Literature Surveymentioning
confidence: 99%
“…También tiene una salida digital de producto estándar específico de la aplicación (ASSP). Este módulo fue elegido debido a su rango de medición adecuado de −70 •C a 380 •C, que se ajusta a las medidas de los humanos [27].…”
Section: ) Mosquittounclassified