Thesis Details

Určení obsazenosti parkoviště z obrazu

Bachelor's Thesis Student: Aghayev Raul Academic Year: 2020/2021 Supervisor: Herout Adam, prof. Ing., Ph.D.
English title
Occupancy Estimation of a Parking Lot from Images
Language
Czech
Abstract

The aim of a diploma is to create an application that will work detect vehicles on a video from parking areas and determine the occupancy of parking area, by detecting the cars, saving data about them and count the number of busy slots. This kind of application can substitute sensors in a future whereas the cost of it is much cheaper and it detects the new coming cars in a real-time, in addition with some statistics such as the most popular parking slots or total amount of cars on a parking today

Keywords

Vehicle, detection, Mask R-CNN, parking, real-time, openCV, self-detecting

Department
Degree Programme
Information Technology
Files
Status
defended, grade E
Date
18 June 2021
Reviewer
Committee
Kolář Dušan, doc. Dr. Ing. (DIFS FIT BUT), předseda
Burgetová Ivana, Ing., Ph.D. (DIFS FIT BUT), člen
Fučík Otto, doc. Dr. Ing. (DCSY FIT BUT), člen
Hrubý Martin, Ing., Ph.D. (DITS FIT BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Citation
AGHAYEV, Raul. Určení obsazenosti parkoviště z obrazu. Brno, 2021. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2021-06-18. Supervised by Herout Adam. Available from: https://www.fit.vut.cz/study/thesis/23263/
BibTeX
@bachelorsthesis{FITBT23263,
    author = "Raul Aghayev",
    type = "Bachelor's thesis",
    title = "Ur\v{c}en\'{i} obsazenosti parkovi\v{s}t\v{e} z obrazu",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2021,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/23263/"
}
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