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Smart city article details

Title	Motorage - Computer Vision-Based Self-Sufficient Smart Parking System
ID_Doc	37974
Authors	Budihala B.; Ivascu T.; Stefaniga S.
Year	2022
Published	Proceedings - 2022 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2022
DOI	http://dx.doi.org/10.1109/SYNASC57785.2022.00047
Abstract	As devices get ever so interconnected, the concept of Smart City is becoming less of a distant aspiration and more of a reality. One major discomfort which is persistent in traditional cities, from the perspective of a vehicle motorist, is the lack of guidance or coordination when in need of a parking space, be it in a shopping center, at the airport, at work or any other overcrowded point of interest. Motorists are frequently presented with little to no adequate information regarding the parking space availability within a parking lot, and in turn end up spending excessive time in hopes of finding an open spot. This work tackles the problem of improving operational efficiency regarding the widely known problem of finding a parking space, through automation and surveillance, in hopes of providing higher quality allocation and management services. We propose a smart parking system centered around environment monitoring with the help of motion sensors and live-feed cameras, as well as efficient parking space management through a reservation system. As a result, the entire process is automated and the end user is kept up to date, with regard to parking space availability, no longer needing to wander around in order to find a vacant spot. Given that the system does not require any human intervention, it efficiently manages the incoming traffic by ensuring all reservation expectations are met, and it does so effortlessly. © 2022 IEEE.
Author Keywords	licence plate recognition; parking monitoring; reservation; smart parking

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