Detection of parking space availability based on video

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU151657" target="_blank" >RIV/00216305:26220/24:PU151657 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Detection of parking space availability based on video

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20201 - Electrical and electronic engineering

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings II of the 30th Student EEICT 2024

ISBN

978-80-214-6230-4

ISSN

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e-ISSN

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Number of pages

4

Pages from-to

36-39

Publisher name

Brno University of Technology, FEKT

Place of publication

Brno

Event location

Brno

Event date

Apr 23, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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