Title | IoT Motion Detection Sensors for Monitoring in a Smart Campus |
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Authors | Ucar, C., Maloku, M., Yugay, O. and Budimir, D. |
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Type | Conference paper |
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Abstract | This paper presents the study of the monitoring of student attendance in a Smart Campus using the IoT Motion Detection Sensors, and the implementation of IoT technology in educational institutions. The proposed solution is far more secure than the existing RFID monitoring system. The IoT devices are embedded into the existing campus environment for data to be collected, transmitted through Wi-Fi using MQTT protocol and store data in local server. The collected data is then accessible to the management with real time insights and attendance pattern. The proposed solution was tested in a one UG course in real time over a period of 8 hours (9:00 – 13:00 and 14:00 -18:00). |
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Keywords | Internet of Things (IoT) |
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| RFID |
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| MQTT |
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| classroom occupancy |
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| smart campus |
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Year | 2024 |
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Conference | 13th Mediterranean Conference on Embedded Computing (MECO’2024) & International Conference on Cyber-Physical Systems and Internet-of-Things (CPS&IoT’2024) |
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Publisher | IEEE |
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Accepted author manuscript | License CC BY 4.0 File Access Level Open (open metadata and files) |
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Publication dates |
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Published | 11 Jun 2024 |
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ISBN | 9798350387568 |
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Digital Object Identifier (DOI) | https://doi.org/10.1109/meco62516.2024.10577922 |
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