Publication detail

Detection of parking space availability based on video

KUŽELA, M. FRÝZA, T.

Original Title

Detection of parking space availability based on video

Type

conference paper

Language

English

Original Abstract

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.

Keywords

Machine vision; Machine learning; Parking occupancy; Python

Authors

KUŽELA, M.; FRÝZA, T.

Released

23. 4. 2024

Publisher

Brno University of Technology, FEKT

Location

Brno

ISBN

978-80-214-6230-4

Book

Proceedings II of the 30th Student EEICT 2024

Pages from

36

Pages to

39

Pages count

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"
}