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Analysis of Surveillance Camera Recordings
Ščavnická, Šárka ; Švec, Tomáš (referee) ; Smrž, Pavel (advisor)
This thesis deals with the systems for analyzing records from security cameras. It aims to create a functional solution that analyzes records and answers questions from the user. The created system combines the YOLO algorithm for object detection and DeepSORT for their subsequent tracking. It contains five models that detect specific situations. Individual models achieved varying degrees of success during testing, with the lowest success rate being 58 % for the getting out of car situation. The highest success rate, 83 %, was obtained by a model for detecting a meeting between two people.
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Reinforcement Learning for Robotic Soccer Playing
Brychta, Adam ; Švec, Tomáš (referee) ; Smrž, Pavel (advisor)
The aim of this thesis is to create a reinforcement learning agent that is able to play a soccer. I'm working with the deep Q-learning algorithm, which uses deep neural network. The practical part of this work is about implementing the agent for reinforcement learning. The goal of the agent is to choose the best action possible for a given situation. The agent is being trained in a variety of scenarios. The result of this thesis shows an approach to control soccer player using machine learning.
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Support for Sagrada Game on Mobile Phone with OS Android
Trněný, Jan ; Švec, Tomáš (referee) ; Smrž, Pavel (advisor)
The aim of this thesis is to create support application for board game Sagrada on mobile devices with OS Android. The solution consist of detection and recognition of the game pattern card and dices on board using the OpenCV library. Subsequently, support is provided, in any state of the game, for points calculation and rules checking for any number of players. These functions allow management of data for multiple users on one mobile device and help with faster rules checking and points calculation. Functions also help for beginners in understanding the game.
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Web Application for Inspecting Results of Automatic Video Processing and Manual Annotations
Červíček, Petr ; Švec, Tomáš (referee) ; Smrž, Pavel (advisor)
The thesis pursues the implementation of the web application for obtaining valuable data for anotation. Data are mainly collected from videos and images, but they can be obtained from deepfakes images and gifs as well. The YOLO - You Only Look Once is used for object detection in the videos. Whole application is developed in node.js and react. Node.js for backend and react for frontend. For a better understanding of web application, there is also historical description of the web technologies.
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Multiple-Context Trust Model for a Social Network Using Personality Analysis
Švec, Tomáš ; Zbořil, František (referee) ; Samek, Jan (advisor)
Tato diplomová práce navazuje na bakalářskou práci, ve které byl vytvořen model důvěry pro sociální síť Facebook. Do tohoto modelu jsou zapracovány připomínky z konference UMAP 2013 a ověřena jeho škálovatelnost a flexibilita. V další části práce jsou uvedeny základní termíny z psychologie osobnosti a zkoumána závislost důvěry na osobnosti uživatele. Je vybrán model Big Five k reprezentaci charakteru uživatele a navržen dotazník, u nějž bude zkoumána korelace s modelem důvěry. Tato korelace je na základě sociologických poznatků odhadnuta a později ověřena na reálných uživatelích sociální sítě Facebook.
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Problematika dojicích robotů DeLaval
ŠVEC, Tomáš
The content of this thesis is focused on the performance evaluation of the DeLaval milking robot in the selected stable. For this work was chosen the family farm stable of Mr. Šítal in the village Mojné. Selected parameters of milking robotic were monitored from 19.9.2018 to 18.3.2019 and on the base of these parameters was evaluated efficiency of the equipment. In this time were followed numbers of milked cows per 24 hours, the average numbers of milking on one cow, the average milking time and daily milk utility. In the selected stable were in a half-year time milked averagely 44 cows with frequency 2,62 utilizations the milking robot per day. The milking took averagely 7 minutes and 40 seconds. Milking utilization was 30,70 liters on one cow per day and total milk herd was 1353,01 liters of milk per day.
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Měření spotřeby pohonných hmot různých konstrukcí pluhů
ŠVEC, Tomáš
The aim of this thesis is to measure the plowing set´s consumption of fuel using unilateral and reversible plow under equal conditions of an agricultural enterprise in the Czech Republic, and to evaluate the obtained results. Another aim of the thesis is to respond to scientific hypotheses as to which of the observed technologies has an impact on cost savings and whether this technology has an impact on the quality of the crop. The content of the thesis is a description of soil and its characteristics, it further deals with soil processing, tillage especially and its parameters, and tools needed for these operations. It then describes plow construction especially. Last but not least, the thesis contains factors which may influence work economy. The measuring has clarified the consumption of unilateral and reversible plows´ set under equal conditions. Based on this consumption it was found out which technology is more economical, optionally giving the growth of percentage.
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Evaluation of Trust or Reputation Based on Social Network Analysis
Švec, Tomáš ; Malačka, Ondřej (referee) ; Samek, Jan (advisor)
This thesis' goal is to apply the terms trust and reputation from the point of view of artificial intelligence to social network analysis methods. It evaluates current available interactions for a model of trust considering various social networks. A mathematical model of trust for Facebook is designed and described in further parts. This model had been implemented in Python programming language. Experiments regarding this thesis are conducted on a sample amount of Facebook users and furthermore analyzed from the perspective of both artificial intelligence and social psychology.
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