Thesis Details
Podpora deskové hry Nemesis na mobilním telefonu s OS Android
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.
Convolutional neural networks, Tensorflow, Tensorflow lite, Android, Image classification, Nemesis board game
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
@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/" }