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Publication detail
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" }