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Detail publikace
KUŽELA, M. FRÝZA, T.
Originální název
Detection of parking space availability based on video
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
This paper deals with the use of Machine vision and ML (Machine Learning) for a parking lot occupation detection. It presents and compares an already existing technology that solves such a problem with an AI (Artificial Intelligence) usecase. It introduces tools used to train and create such models and their subsequent results as well as a dataset that was used to verify the trained networks and discusses the future of how such a technology could be used to effectively and more affordably detect occupied parking spaces on parking lots.
Klíčová slova
Machine vision; Machine learning; Parking occupancy; Python
Autoři
KUŽELA, M.; FRÝZA, T.
Vydáno
23. 4. 2024
Nakladatel
Brno University of Technology, FEKT
Místo
Brno
ISBN
978-80-214-6230-4
Kniha
Proceedings II of the 30th Student EEICT 2024
Strany od
36
Strany do
39
Strany počet
4
BibTex
@inproceedings{BUT188990, author="Miloslav {Kužela} and Tomáš {Frýza}", title="Detection of parking space availability based on video", booktitle="Proceedings II of the 30th Student EEICT 2024", year="2024", pages="36--39", publisher="Brno University of Technology, FEKT", address="Brno", isbn="978-80-214-6230-4" }