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Traffic Situation Model
Dvořák, Michal ; Petyovský, Petr (referee) ; Horák, Karel (advisor)
In this thesis, parameters required for physical construction of model of traffic camera system are identified. The information is used to design and construct a model, which supports simulation of important traffic situations. With focus, on the ability of model to allow for digital modification of simulation parameters over, for this purpose created, communication interface. The next part of thesis then focuses on creation of application which supports the control and image retrieval from group of cameras. The application is designed to support settings necessary for use as average speed enforcement cameras and as red-light cameras.
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Firearm Type Identification in an Image
Čech, Ondřej ; Drahanský, Martin (referee) ; Dvořák, Michal (advisor)
Main goal of this work is to design, implement and test an approach for classifying firearms in an image into categories with short and long fireams, and then with single shot, multi-barreled, repeating and semi-automatic/automatic firearms. This problem was solved using SVM classifier together with Harris corner detector, FREAK descriptor and Bag of Words method. Accuracy of final program is up to 13,3 %.
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Anti-Drone Perimeter Protection
Janík, Roman ; Dvořák, Michal (referee) ; Drahanský, Martin (advisor)
Developement of drone technology brings opportunities for many fields of human activity, but simultaneously brings security threats. A need to effectively face these threats arises. In this work is described the problematics and state-of-the-art methods for object detection in a video captured by moving camera. A system for detecting and locating a drone or a flock of drones has been proposed. Algorithm for detection is based on convolutional neural network, specifically on SSD algorithm. The convolutional neural network was trained on self-made dataset. The system was implemented using OpenCV library with possible algorithm acceleration on GPU using OpenCL. Created solution was tested on video.
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Virtual Gate for Counting the Passing of Persons
Chudý, Andrej Oliver ; Dvořák, Michal (referee) ; Drahanský, Martin (advisor)
The goal of this thesis is to propose a viable technique of detecting people passing through a virtual line (any opening without a turnstile or other form of the physical obstacle). Two software solutions were implemented to achieve high accuracy. First one processes 2D data output from webcam and the other one processes depth data from the 3D imaging sensor. Both software solutions were deployed and tested in a pharmaceutical storage room, where they achieved the accuracy of 98%. The software proposed in this thesis is thus reliable enough to become the basis of access control and security systems or for real-time evaluation of visitor rate statistics of commercial properties and events. The thesis also contains a comparative analysis of 3 widely used depth sensors.
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Lego Mindstorm EV3 in Education of Programming and Robotics
Páral, Jaroslav ; Dvořák, Michal (referee) ; Orság, Filip (advisor)
In this bachelor thesis, we tackle the problem of software development for the Lego EV3 brick. We want to allow the beginner programmers to create complex programs that cannot be easily created using the original graphical programming interface.We provide comparison of several alternatives of the original system from performance and user point of view. Based on this comparison, we choose EV3RT as base for our work.We also present our object-oriented API built on top of the EV3RT system to ease the transfer from graphical to text programming. Therefore, we provide a suitable platform for the beginners, who already reached the limits of standard system and want to develop more complex programs demanding more computing power.
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Manipulator Control for Acquisition of the Eye Retina
Malaník, Petr ; Dvořák, Michal (referee) ; Drahanský, Martin (advisor)
To use the image of the retina for biometric or medical purposes, it is necessary that the image is of the highest quality and ideally covers the largest possible area. It is therefore necessary to move the sensing device to the most suitable position while ensuring its stability. A laboratory handling platform is used for this purpose. The platform is moved by stepper motors. A control board equipped with a microcontroller has been developed for their control, which allows very fine movements. The theoretical accuracy of the manipulator is up to 20 nm. Since it is necessary for sensing, to have proper retina illumination, the control system also includes adjustable illumination elements in the infrared and visible spectrum. The resulting system allows scanning of the retina of the eye from multiple angles and thereby effectively increase the area on which it is possible to further look for diseases or biometric features.
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Association Rules Mining
Dvořák, Michal ; Chmelař, Petr (referee) ; Stryka, Lukáš (advisor)
The main goal of this bachelor's thesis is design and implementation of the application that provides a comparison of the performance and time consumption of given algorithms for mining of the frequent itemsets and the association rules. For demonstration, the mining algorithms Apriori, AprioriTIDList, AprioriItemSet and the method using FP-tree were chosen. The tests were executed over various amounts of data and with different minimum support and confidence values as well. The application was implemented in the object oriented language C# and the relational database provided by MS SQL Server 2008 is used as the data source.
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Optimization of Small Electric Machines
Dvořák, Michal ; Vítek, Ondřej (referee) ; Hájek, Vítězslav (advisor)
Optimization algorithms are highly strong tool for solution of many problems of engeneering practice. They are usually used ,where the solution of given problem by analitics way is strongly unsuitable or unreal. For succesful solution such problems was developed a lot of highly strong algorithms, which alowed solwe dificult problems by efective way. In first part of this work I would like to introduce some optimization methods, their division and application. The next point will be introduction of two programs, which are plentifully used for optimization and each other cooperative together. These programs are ANSYS and MATLAB. In last part I will pay attention to optimization a small electrica machine, which is twelve volts automobile engine starter. On this engine starter I will apply three optimization algorithms and I would try to find corect value of field current for attainment maximum electromagnetic power.
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Weapon Detection in an Image
Debnár, Pavol ; Drahanský, Martin (referee) ; Dvořák, Michal (advisor)
This thesis is focused on the topic of firearms detection in images. In the theoretic section, the explanation of the term firearm is covered, along with the definition of the most prevalent firearm categories. Then the concept of image noise and the ways it can hinder image detection is covered, along with ways of reducing it. Next, algorithms of image detection are introduced - first those which operate on the basis of neural nets - such as Convolutional Neural Nets and Single Shot Multibox Detection. The next section discusses classic algorithms of object detection such as HOG+SVM and SURF. After that, information on the used libraries and software is provided. The experimental part covers the designed algorithm and database. For detection, the HOG+SVM, SURF and SSD algorithms were used. All the algorithms are tested on the database and, if possible, on video. A final evaluation is provided, along with possible future development options.
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Detection, Localization and Determination of Chronic Wounds
Gulán, Filip ; Dvořák, Michal (referee) ; Drahanský, Martin (advisor)
The aim of this diploma thesis is to design and implement a multiplatform application for detection, localization and determination of the extent of chronic wounds. The application is intended to assist nurses, doctors and healthcare assistants to monitor and evaluate chronic wounds in the course of treatment. The application is based on the Typescript programming language, on the Ionic hybrid application framework and on the Electron desktop application framework. Chronic wound assessment runs on the server-side where the Python programming language is used. The Flask application framework is used for the RESTful application interface and the OpenCV library is used for image processing.
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