Thesis Details

Počítání unikátních aut ve snímcích

Master's Thesis Student: Uhrín Peter Academic Year: 2020/2021 Supervisor: Juránek Roman, Ing., Ph.D.
English title
Unique Car Counting
Language
Czech
Abstract

Current systems for counting cars on parking lots usually use specialized equipment, such as barriers at the parking lot entrance. Usage of such equipment is not suitable for free or residential parking areas. However, even in these car parks, it can help keep track of their occupancy and other data. The system designed in this thesis uses the YOLOv4 model for visual detection of cars in photos. It then calculates an embedding vector for each vehicle, which is used to describe cars and compare whether the car has changed over time at the same parking spot. This information is stored in the database and used to calculate various statistical values like total cars count, average occupancy, or average stay time. These values can be retrieved using REST API or be viewed in the web application.

Keywords

detection, parking lot, car identification, car counting, YOLOv4, embedding, TripletLoss, siamese network, statistics, web application, REST API

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology and Artificial Intelligence, Specialization Machine Learning
Files
Status
defended, grade A
Date
23 June 2021
Reviewer
Špaňhel Jakub, Ing.
Committee
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), předseda
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Čadík Martin, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Rozman Jaroslav, Ing., Ph.D. (DITS FIT BUT), člen
Citation
UHRÍN, Peter. Počítání unikátních aut ve snímcích. Brno, 2021. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2021-06-23. Supervised by Juránek Roman. Available from: https://www.fit.vut.cz/study/thesis/23289/
BibTeX 
@mastersthesis{FITMT23289,
    author = "Peter Uhr\'{i}n",
    type = "Master's thesis",
    title = "Po\v{c}\'{i}t\'{a}n\'{i} unik\'{a}tn\'{i}ch aut ve sn\'{i}mc\'{i}ch",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2021,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/23289/"
}

Theses

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