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Visual inspection of component dimensions
Kadaňka, Jan ; Holoubek, Tomáš (referee) ; Matoušek, Radomil (advisor)
This master thesis deals with the comparison of an industrial system for object recognition and measurement with an affordable camera on the Raspberry Pie platform. The theoretical part briefly describes several methods for measuring dimensions, which are commonly used in industry, along with a general description of technical equipment for image recording. The next section describes 3 industrial systems for image analysis. The practical part of the work deals with the design of the measuring stand, the description of the technical equipment, the implementation of measurements using both platforms and the subsequent evaluation.
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Weather Forecast Based on Different Sources
Hořák, Martin ; Kořenek, Jan (referee) ; Novotný, Tomáš (advisor)
Bachelor thesis deals with the weather forecast through the artificial neural network with backpropagation method. The forecast is based on data obtained from freely accessible services offering weather information. The created application downloads and saves the forecasts from servers and creates a new forecast. The results of the prediction are being compared with the reality and the original services.
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Stress detection
Jindra, Jakub ; Vítek, Martin (referee) ; Němcová, Andrea (advisor)
Stress detection based on non-EEG physiological data can be useful for monitoring drivers, pilots, and also for monitoring of people in ordinary situation, where standard EEG monitoring is unsuitable. This work uses Non-EEG database freely available from Physionet. The database contains records of heart rate, saturation of blood oxygen, motion, a conductance of skin and temperature recorded for 3 type of stress alternated with relax state. Two final models were created in this thesis. First model for Binary classification stress/relax, second for classification of 4 different type of psychical state. Best results were reached using model created by decision tree algorithm with 8 features for binary classification and with 8 features for classification of 4 psychical state. Accuracy of final models is aproximately 95 % for binary model and 99 % for classification of 4 psychical state. All algorithms were implemented in Python.
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3D reconstruction from multiple views
Sládeček, Martin ; Klečka, Jan (referee) ; Richter, Miloslav (advisor)
This thesis deals with the task of three-dimensional scene reconstruction using image data obtained from multiple views. It is assumed that intrinsic parameters of the utilized cameras are known. The theoretical chapters describe the basic priciples of individual reconstruction steps. Variuous possible implementaions of data model suitable for this task are also described. The practical part also includes a comparison of false keypoint correspondence filtering, implementation of polar stereo rectification and comparison of disparity map calculation methods that are bundled with the OpenCV library. In the final portion of the thesis, examples of reconstructed 3D models are presented and discussed.
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Data Mining with Python
Krestianková, Tamara ; Burgetová, Ivana (referee) ; Zendulka, Jaroslav (advisor)
This thesis deals with principles of data mining process, available Python packages for data mining and a demonstration of Python script capable of data analyisis focused on classification techniques. Created classifiers are able to classify subjects into two groups - healthy people and people suffering from Parkinson's disease - based on their biomedical vocal analysis data.
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Elasticity problems in Python language
Tichoň, Dušan ; Žák, Stanislav (referee) ; Profant, Tomáš (advisor)
This bachelor thesis deals with the programming language Python. Its aim is acquaintance of NumPy, SymPy and Matplotlib libraries and their later application. Also it shows the great computing potential of programming language in creating exercises which will be used and presented for educational purposes.
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An application of Python language to some problems of the mechanics
Horák, Filip ; Lošák, Petr (referee) ; Profant, Tomáš (advisor)
Programming language Python is currently a very powerful and widely used programming tool. Its availability, simplicity and versatility makes it a popular choice among both beginners and experienced programmers. Although Python is not primarily designed for calculations, it is easy to program a calculator software when proper libraries are used. The aim of this bachelor thesis is to get to know the Python programming language, to apply it to chosen tasks of mechanics and to present the results using the Jupyter web application.
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Gamification of line-follower robot videorecordings
Soboňa, Tomáš ; Honec, Peter (referee) ; Janáková, Ilona (advisor)
This bacheor’s thesis is concerned with the processing of a vehicle’s trajectory following a black line located on an unchanging white background, and subsequently comparing of the quality of each vehicle’s covered distance on this trajectory. The first part of the thesis describes the theory for recognizing the track, individual graphic tags, as well as detection of important points in the picture and their correlation with points in another picture, for which an algorithm SIFT is used. The second part deals with the description of the program, which was created as part of this work, its classes and methods. The program is written in Python, for image processing is used mainly an open source library OpenCV and, to a lesser extent, the NumPy library. Finally, the results are concluded at the end of the thesis.
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Acceleration of Applications on a Supercomputer Using Python
Čelka, Marek ; Jaroš, Jiří (referee) ; Jaroš, Marta (advisor)
Nowadays, all computers we use are capable of parallel processing that saves time in compute-intensive tasks such as scientific computations, various simulations or predictions. The theme of this thesis is acceleration of compute-intensive tasks on supercomputer. This is achieved by the parallelization of the problem. For better understanding the issue by scientists from diverse scientific fields, the python programming language was chosen. Python is very powerful and easy to use as well. The first part of the thesis deals with the parallel processing techniques. The set of microtests was designed and implemented for this purpose. Results are then discussed and used in the further work. The second part of the thesis deals with the problem of parallel image reconstruction. For a comparison, the sequential version of the problem was also implemented. Both versions, sequential and parallel, were tested on a set of images of a different size. Experiments focus on acceleration, spent time, memory bandwidth and latency. These outcomes are also presented and discussed.
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Django framework based web application for objective analysis of hypokinetic dysarthria
Čapek, Karel ; Zvončák, Vojtěch (referee) ; Galáž, Zoltán (advisor)
This master´s thesis deals with the calculation of parameters that would be able to differentiate healthy speech and speech impaired by hypokinetic dysarthria. There was staged hypokinetic dysarthria, which is a motoric disorder of speech and vocal tract. Were studied speech signal processing methods. Further parameters were studied, which could well differentiate healthy and diseased speech. Subsequently, these parameters were programmed in Python programming language. The next step was to create a web application in Django framework, which is used for the analysis of the dyzartic speech.
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