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Title	Machine Vision Smart Parking Using Internet Of Things (Iots) In A Smart University
ID_Doc	36087
Authors	Sieck N.; Calpin C.; Almalag M.
Year	2020
Published	2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020
DOI	http://dx.doi.org/10.1109/PerComWorkshops48775.2020.9156121
Abstract	The concept of smart cities is becoming more widespread as the critical need for smart parking systems becomes evident in these cities. This paper suggests a method of smart parking in a heretofore relatively untouched area: midsize college campuses. With a high concentration of people and expansion with a relatively low increase in parking spots, parking problems are commonplace on college campuses. There is no designated terminology for universities utilizing smart systems, with suggestions ranging from 'smart campuses' to 'smart universities.' This paper discusses a proof of concept structure utilized by the researchers to implement a smart parking system in a midsize university parking lot. The system looks promising as evidenced by the results gathered using the proposed system. The results are discussed later in the paper and the implications for the smart parking system. © 2020 IEEE.
Author Keywords	machine learning; parking system; parking tracker; smart campus; smart parking; smart university

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