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Smart city article details

Title	Smart Residential Parking
ID_Doc	51372
Authors	Suhartono; Chiang J.-L.; Sakanti M.M.; Kuncoro C.B.D.
Year	2024
Published	Proceedings - International Conference on Informatics and Computational Sciences
DOI	http://dx.doi.org/10.1109/ICICoS62600.2024.10636897
Abstract	This research aims to create a smart residential system that will improve parking management in residential areas using mini-server technology. Another aim is to provide a safe and effective smart parking solution for residential areas with limited capacity. This research method uses mini-server technology and control to create smart system ideas. Apart from that, this research also uses servo motor technology, proximity sensors, cameras, and IoT applications for smart parking management. The result is the creation of intelligent residential parking management, which uses a Raspberry Pi 5 Model B as a server and control to improve the parking management system in residential areas, and the use of number plate recognition technology to be applied to Smart City. This further research offers a new perspective on creating intelligent parking solutions using two input validation parameters simultaneously, namely facial and license plate recognition © 2024 IEEE.
Author Keywords	IoT; Parking; Plate Number; Residential; Smart

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