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Title	Smart Street Light Monitoring And Visualization Platform For Campus Management
ID_Doc	51454
Authors	Deepaisarn S.; Yiwsiw P.; Tantiwattanapaibul C.; Buaruk S.; Sornlertlamvanich V.
Year	2022
Published	International Joint Conference 2022 - 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing, iSAI-NLP 2022 and 3rd International Conference on Artificial Intelligence and Internet of Things, AIoT 2022
DOI	http://dx.doi.org/10.1109/iSAI-NLP56921.2022.9960257
Abstract	As a recent trend in urbanization and intelligent technologies, smart lighting systems have been implemented in many major cities to support smart urban environments. This research developed a web application platform for data visualization and lighting device monitoring at Thammasat Uni-versity, Rangsit Campus, Thailand. This implementation provides administrative and operative staff with an all-in-one platform through a convenient interface for monitoring, controlling, and collecting data from area devices and sensors. Platform devel-opment was divided into two sections: back-end application, providing application programming interface (API) endpoints, and front-end application, offering an interface for interacting with on-campus staff. Finally, the web application was deployed on a cloud platform so that responsible persons may access it on any device and acquire data in real time. Given the platform's capabilities, further data analytics may be proposed for building a smarter lighting system. © 2022 IEEE.
Author Keywords	Data Visualization; Internet of Things (loT); Light; Smart City; Web Application

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