Thesis Details

Podpora deskové hry Nemesis na mobilním telefonu s OS Android

Bachelor's Thesis Student: Štěpánek Miroslav Academic Year: 2021/2022 Supervisor: Smrž Pavel, doc. RNDr., Ph.D.
English title
Supporting Board Game Nemesis on Android Mobile Phone
Language
Czech
Abstract

The aim of this thesis is to create a mobile application for the board game Nemesis designed for the Android system, which will allow the user to find out information about the game components during the game. The solution consists of two main parts the first is a model created with the help of the Tensorflow library, which is responsible for the detection of these components. The second is the application itself, which receives results from the model and displays the resulting information to the user. This makes the game easier for the user and helps to speed it up. The resulting system can be modified so that the application can be used for other games.

Keywords

Convolutional neural networks, Tensorflow, Tensorflow lite, Android, Image classification, Nemesis board game 

Department
Degree Programme
Files
Status
defended, grade B
Date
15 June 2022
Reviewer
Committee
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), předseda
Kočí Radek, Ing., Ph.D. (DITS FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Citation
ŠTĚPÁNEK, Miroslav. Podpora deskové hry Nemesis na mobilním telefonu s OS Android. Brno, 2022. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-15. Supervised by Smrž Pavel. Available from: https://www.fit.vut.cz/study/thesis/24964/
BibTeX
@bachelorsthesis{FITBT24964,
    author = "Miroslav \v{S}t\v{e}p\'{a}nek",
    type = "Bachelor's thesis",
    title = "Podpora deskov\'{e} hry Nemesis na mobiln\'{i}m telefonu s OS Android",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/24964/"
}
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