Detail výsledku

Detection of parking space availability based on video

KUŽELA, M.; FRÝZA, T. Detection of parking space availability based on video. In Proceedings II of the 30th Student EEICT 2024. Brno: Brno University of Technology, FEKT, 2024. p. 36-39. ISBN: 978-80-214-6230-4.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Kužela Miloslav, Bc., FEKT (FEKT)
Frýza Tomáš, doc. Ing., Ph.D., UREL (FEKT)
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

Rok
2024
Strany
36–39
Sborník
Proceedings II of the 30th Student EEICT 2024
Konference
Student EEICT 2024
ISBN
978-80-214-6230-4
Vydavatel
Brno University of Technology, FEKT
Místo
Brno
EID Scopus
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"
}
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