Result Details
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.
Type
conference paper
Language
English
Authors
Kužela Miloslav, Bc.
Frýza Tomáš, doc. Ing., Ph.D., UREL (FEEC)
Frýza Tomáš, doc. Ing., Ph.D., UREL (FEEC)
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
Published
2024
Pages
36–39
Proceedings
Proceedings II of the 30th Student EEICT 2024
Conference
Student EEICT 2024
ISBN
978-80-214-6230-4
Publisher
Brno University of Technology, FEKT
Place
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"
}
Departments