National Repository of Grey Literature 394 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
Virtual Tour in VR
Pelánek, Lukáš ; Matýšek, Michal (referee) ; Herout, Adam (advisor)
This thesis deals with the making of virtual tours in the virtual reality. It deals with panoramic photographs and their use in creating virtual tours. In this thesis, two applications were designed and implemented. The first one as a web editor for creating and the other as a mobile application for viewing virtual tours. The created solution provides a comprehensive tool for working with virtual tours.
Recognition of Driving Lane Borders in Video from On Board Camera
Letovanec, Lukáš ; Bartl, Vojtěch (referee) ; Herout, Adam (advisor)
This thesis is dedicated to the issue of driving lane borders recognition in frames of an onboard camera. In this thesis, an architecture of a deep convolutional neural network is introduced, by means of which the said problem is dealt with. The net was trained on a large dataset using gradient descent algorithm. The trained model has demonstrated the ability to recognize borders of a driving lane well in different situations and conditions. The result of the thesis confirms that deep convolutional neural networks are a suitable tool for driving lane borders recognition.
Chatbot for Smart Cities
Jusko, Ján ; Herout, Adam (referee) ; Zemčík, Pavel (advisor)
The aim of this work is to simplify access to information for citizens of the city of Brno and at the same time to innovate the way of communication between the citizen and his city. The problem is solved by creating a conversational agent - chatbot Kroko. Using artificial intelligence and a Czech language analyzer, the agent is able to understand and respond to a certain set of textual, natural language queries. The agent is available on the Messenger platform and has a knowledge base that includes data provided by the city council. After conducting an extensive user testing on a total of 76 citizens of the city, it turned out that up to 97\% of respondents like the idea of a city-oriented chatbot and can imagine using it regularly. The main finding of this work is that the general public can easily adopt and effectively use a chatbot. The results of this work motivate further development of practical applications of conversational agents.
Smartphone Game Using Recognition of Face Features
Skoták, Jiří ; Szőke, Igor (referee) ; Herout, Adam (advisor)
This master's thesis focuses on smartphone game for iOS, which uses recognition of face features and other information, which can be obtained from a smartphone's camera and sensors. This work describes a few approaches for real-time face detection and then introduces and compares possibilities for such task on iOS. Moreover, the thesis contains a draft of the final game and its levels. The game showcases various technologies in its levels such as object detection, processing an image color and others. Finally, the thesis introduces the final form of the game that is released and available on the App Store.
Mobile App For Capturing and Viewing Photographs of the Same Object at Different Times
Plšek, Dominik ; Zemčík, Pavel (referee) ; Herout, Adam (advisor)
Rephotography has been a popular research topic in the photography field for a long time. The purpose of rephotography itself is to repeatedly take photographs of the same scene at a different time. As a result, the sequence of rephotographs with the reference, often historical, the picture provides a compelling visualization of the evolution of the subject or capture its changes in time. However, the act of rephotography is difficult for the rephotographers as they have to cope with the ambiguous motions in six degrees of freedom and with the changes of the subject itself or its surrounding environment.        This thesis aims to create a mobile application that would help its users to capture a rephotograph more accurately and allow them to share the scenes amongst other users. The designed application uses available on-device sensors to navigate the user to the location and guide the user during the rephotography process to capture a precise rephotograph. Furthermore, the application contains user interface elements designed explicitly for rephotography. Moreover, the work describes topics about user interface design, iOS application development, and designing and deploying backend API for the mobile application.
Mobile App for Management and Reservation of Sports Lessons
Hynek, Tomáš ; Tomešek, Jan (referee) ; Herout, Adam (advisor)
The goal of this thesis is to create a mobile application for Android that will offer management for reservations of training lessons. There are two user roles in the application. The first one is coach who can offer his lessons to other users. Users then can book this lesson right from the application. Coach can also manage all of his lessons and see his reservations in calendar. The second type of user is an athlete who can search for training lessons by name or place distance and then he can book them. The name of the application is Fittyy and it complies with Material Design rules. It uses advanced technologies like Android Jetpack to store local data, implement MVVM model or process server requests in the background. Communication between coach and athlete was implemented using CMS system made by Dactyl Group s.r.o.
Augmented Reality: Historical Versions of a Building
Medvec, Juraj ; Beran, Vítězslav (referee) ; Herout, Adam (advisor)
This thesis is focused on Augementied reality in mobile applications. The aim of the thesis is to create mobile application that provides its users with the view of the past of selected buildings. At the beginning of the thesis, the reader is presented with various methods and technologies for working with augmented reality. Based on the theorie obtained in first chapters, a mobile application was designed and implemented. The final mobile application allows its users to view historical buildings.
Augmented Reality on iOS - Displaying of Map Features in Terrain
Bezák, Adam ; Brejcha, Jan (referee) ; Herout, Adam (advisor)
This thesis aims to improve the user's orientation in terrain using his smartphone and augmented reality. By combining these two elements and cost-free OpenStreetMap database of geographic data, is possible to show nearby map features from the maps or show additional information about nearby objects. The resulting technology is used in implemented iOS application called Water Radar. This application displays nearby water streams (or other water objects) relative to the GPS position of the user. The application also uses Google Elevation API, in order to enable displayed water streams to follow the landscape.
Mobile App for Recognition of Leukocoria in an Image of Human Face
Hřebíček, Pavel ; Kodym, Oldřich (referee) ; Herout, Adam (advisor)
The goal of this thesis is to design and implement a multiplatform multilingual mobile application for detecting leukocoria in an image of human face for iOS and Android platforms. Leukocoria is a whitish light of the pupil, which can be seen on the photo when the flash is used. Early detection of this symptom can save human eyesight. The application itself allows to analyze a user's photo and detect the presence of leukocoria. The goal of the application is to analyze eyes of the human, from which the mobile application name - Eye Check is derived. React Native framework was used to create a multiplatform mobile application. The Dlib library was chosen for human face and eye detection, the OpenCV library for working with the photo. The convolutional neural network was used to classify the eyes for the possible presence of leukocoria. Client-Server communication is solved using the REST architecture. The result is a mobile application that detects leukocoria and allerts the user to visit his doctor if leukocoria is detected.
Processing Sensor Data from a Wearable Device by Machine Learning
Hlavačka, Martin ; Dobeš, Petr (referee) ; Herout, Adam (advisor)
The goal of this master's thesis is to analyze the situation of wearable devices with the Android Wear operating system and recognition capabilities of various movement activities using neural networks. The primary focus is therefore on identifying and describing the most appropriate tool for recognizing dynamic movements using machine learning methods based on data obtained from this type of devices. The practical part of the thesis then comments on the implementation of a stand-alone Android Wear application capable of recording and formatting data from sensors, training the neural network in a designed external desktop tool, and then reusing trained neural network for motion recognition directly on the device.

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