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Tram Detection in Video by Neural Network
Golda, Vojtěch ; Špaňhel, Jakub (referee) ; Dyk, Tomáš (advisor)
This paper deals with tram detection in video using convolutional neural networks. The basic principles of their function are described. A number of distinct architectures are trained. The usefulness of the resulting models is subsequently compared. The output of this paper is a program capable of detecting trams in video.
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Reconstruction of Damaged Parts of Fingerprint Image Using Neural Nets
Bobocký, Boris ; Dyk, Tomáš (referee) ; Kanich, Ondřej (advisor)
In this paper, I propose a method for reconstructing damaged fingerprints using generative adversarial networks (GANs), implemented with Python and the PyThorch library. I have trained a specific GAN model on a dataset of approximately twenty thousand prints, created with Anguli and other damage simulation tools. This approach produced excellent results and could have wide application in biometric systems. This work highlights the potential of deep learning in the fields of image reconstruction and biometrics.
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Mobile Game for Practicing English Vocabulary
Hubík, Antonín ; Kanich, Ondřej (referee) ; Dyk, Tomáš (advisor)
Cílem této práce bylo navrhnout a implementovat multiplatformní vzdělávací mobilní hru pro procvičování a rozšiřování anglické slovní zásoby. Hra je založena na pravidlech slovní kopané a jí podobných her se slovy a obsahuje režim online hry dvou hráčů proti sobě. Aplikace využívá platformu .NET, kde je implementována v jazycích C# a XAML. Činnost mobilního klienta závisí na vzdálených službách, které byly nasazeny s využitím vhodných cloudových služeb a integračních možností platformy Microsoft Azure. Verze mobilní aplikace pro Android byla publikována prostřednictvím Google Play v režimu přístupu pro testování a ozkoušena na uzavřené skupině uživatelů s vlastními zařízeními. Na základě zpětné vazby z testování byly navrženy možnosti dodatečných vylepšení v oblastech odstranění technických slabin a přidání nových funkcionalit.
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Person Detection in Video
Marek, Lukáš ; Goldmann, Tomáš (referee) ; Dyk, Tomáš (advisor)
This bachelor thesis deals with the implementation of an application for detecting people in video footage. Both the application and the detection are implemented in Python. TKinter library is used to create the application. The OpenCV library and the YOLOv4 detection algorithm, which runs on a CUDA backend but can also run on the CPU, are used for detection.
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Monitoring the Movement of Visitors in Museum Exhibitions
Viskupič, Matej ; Dyk, Tomáš (referee) ; Drahanský, Martin (advisor)
The aim of this work is to propose a new system of monitoring visitors in museums. Incontrast to existing methods, the problem is solved here only using camera technology. This requires addressing three sub-problems: (1.) detection of visitors in camera streams using a convolutional neural network; (2.) camera configuration to exactly determine the position of the detected persons within the monitoring area; and (3.) identification and tracking the detected persons. The outcome of the proposed solution is the heatmap of most visited places, the map of visitor trajectories and the statistic of visits for individual exhibits. This monitoring method can contribute towards improved evaluation of visitor experience and more effective selection and positioning of the exhibits.
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Mobile Game for Practicing English Vocabulary
Hubík, Antonín ; Kanich, Ondřej (referee) ; Dyk, Tomáš (advisor)
Cílem této práce je navrhnout a implementovat multiplatformní vzdělávací mobilní hru pro procvičování a rozšiřování anglické slovní zásoby. Hra je založena na pravidlech slovní kopané a jí podobných her se slovy a obsahuje minimální prototyp režimu online hry dvou hráčů proti sobě. Aplikace využívá platformu .NET, kde je implementována v jazycích C# a XAML. Části řešení dostatečně připravené pro produkční prostředí byly nasazeny s využitím vhodných cloudových služeb Microsoft Azure. Aplikace na Android byla publikována lokálně a ozkoušena na vybrané skupině uživatelů v rámci uzavřeného testování. Výsledky testování posloužily k určení stavu řešení v okamžiku dokončení práce a na na jejich základě byla navržena možná vylepšení nad rámec technických nedostatků a omezení.
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Mobile Application for Searching for Interesting Events and Destinations in Brno
Misař, Ondřej ; Hrubý, Martin (referee) ; Dyk, Tomáš (advisor)
The aim of this bachelor thesis is to create a mobile application that allows user to use a chatbot to search for interesting places and events in Brno. The application is developed on Android operating system using Kotlin language. It offers the user the possibility of communicating with the chatbot using hint buttons. It is implemented using the Rasa framework. The application offers the possibility to browse all events or places and view their detailed information. The user also has the possibility to view all items on the map. The data is stored on the server in a database where it is managed by the backend. It takes care of storing, processing and filtering the data. It is placed on the server together with the chatbot.
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E-commerce Design
Kolář, Michal ; Dyk, Tomáš (referee) ; Luhan, Jan (advisor)
Bachelor’s thesis deals with a creation of design and implementation of e-commerce for the newly formed company, focused primarily on Apple devices service. The work focuses on the analysis of the company, requirements and implementation of e-commerce with innovatice elements.
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Mobile Application for Scanning Hitori from Newspapers and Finishing It
Burešová, Monika ; Malinka, Kamil (referee) ; Dyk, Tomáš (advisor)
This bachelor's thesis deals with development of mobile application with elements of computer vision and artificial intelligence, which is designed for Android operating system. The application is used for scanning Hitori from photo and then finishing it on a mobile device. Moreover, this application provides hint, undo or shows a violation of rules of the game. The OpenCV library is used for image processing, Tesseract library is used for digits recognition. Scanned games are stored in a database, which is implemented using Room library. Hitori solution is found by combination of backtracking algorithm and known techniques for solving this game. The final application is available on Google Play and is named Hitori Scan & Play.
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Mobile Application for Scanning Kakuro from Newspapers and Finishing It
Rein, Michal ; Drahanský, Martin (referee) ; Dyk, Tomáš (advisor)
The purpose of this thesis is to create a mobile application, which allows to scan a Kakuro game from any printed media and helps it's user solving it. The solution is composed of client and server sides, where client is the mobile application implemented in the Flutter framework, which collaborates with server side to construct a virtual playground and offer solution of the game to the user. This thesis also includes studies of computer vision and machine learning techniques, software engineering and algorithmic solving of the Kakuro game, which are necessary for constructing such applications. The outcome of this work is a fully functional mobile application which allows it's user to scan the game and offers help with solution. The app is available for devices with Android and iOS operating systems.
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