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Detection of defects in camera data
Blažej, Svätopluk ; Richter, Miloslav (oponent) ; Janáková, Ilona (vedoucí práce)
The aim of the bachelor thesis is to implement algorithms able to recognize different types of camera defects in order to analyze the quality of the scanned image. At the same time, the bachelor thesis evaluates the speed and accuracy of the proposed algorithm on the dataset of images of various defects.
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Použití senzorů pro zařízení ovládané signály EEG
Blažej, Svätopluk ; Sekora, Jiří (oponent) ; Marcoň, Petr (vedoucí práce)
Bakalárska práca sa zaoberá rôznymi typmi senzorov pre zber EEG dát a ich využitie na ovládanie priemyselných zariadení. V práci je popísaná problematika merania EEG signálu a jeho spracovania, výber vhodného typu senzoru, návrh a zostrojenie zariadenia schopného zberu, zosilnenia a filtrácie signálu nadobudnutého vybraným senzorom. Tvorba ovládacieho programu určeného na preklad nadobudnutých dát pre komunikáciu a ovládanie externého zariadenia. Testovanie a vyhodnotenie správnosti funkčnosti navrhnutého zariadenia.
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EEG Measuring And Analyzing System
Blažej, Svätopluk
One of the critical steps in the design of Brain-Computer Interface applications based on electroencephalography is to process and analyze signals in real-time, in order to identify the mental state of the user. Understanding of signal processing is vital for those who deal with these signals for detection, diagnosis, and treatment of brain disorders and the related diseases. The main asset of this project is to create small, reliable and inexpensive system for analysis of brain activity. This paper describes use of microcontrollers for brain waves readings. Electrodes used for this purpose have sensitive and low noise readings.
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Detection of defects in camera data
Blažej, Svätopluk ; Richter, Miloslav (oponent) ; Janáková, Ilona (vedoucí práce)
The aim of the bachelor thesis is to implement algorithms able to recognize different types of camera defects in order to analyze the quality of the scanned image. At the same time, the bachelor thesis evaluates the speed and accuracy of the proposed algorithm on the dataset of images of various defects.
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Motion Detection of Small Objects
Blažej, Svätopluk
The paper describes a problem of detection small moving objects. A size of these objects is only one or few pixels. Relevant mathematical apparatus which are usually used for processing of dynamic pictures are included. There was proposed experimental module for standalone locator for real time operation. This module is consisted from two main parts. First part is used for imaging of scene, especially small moving objects. We use four camera systems. The Second part comprises a development board based on Raspberry PI 2. We use GNU/Linux system on the board. There were also tested methods useful for the essence of this project. On behalf of the tests was developed an algorithm to detect small particle in video sequence. C and python language routines were build including essence algorithms. This algorithm consists of: images are captured one by one from all 4 cameras 640 £ 480; RGB to Gray transformation; For each image are all shapes detected; unnecessary shapes are removed; Images are filtered with additional filters; Noise free images are then compared for movement detection. Images with movement are stored on SD card. Additional information: Devices captures and stores all flying objects. Data are accessible through LAN port. We use OpenCv for image analysis. Device is used for sky movement detection of small objects, birds. After detection, it can create acoustic signal to scare them away. This minimizes bird impact in Agriculture and it prevents bird-plane collisions on airports. This paper describes in more detail not only the entire detection algorithm, but also the results of the test algorithm.
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Použití senzorů pro zařízení ovládané signály EEG
Blažej, Svätopluk ; Sekora, Jiří (oponent) ; Marcoň, Petr (vedoucí práce)
Bakalárska práca sa zaoberá rôznymi typmi senzorov pre zber EEG dát a ich využitie na ovládanie priemyselných zariadení. V práci je popísaná problematika merania EEG signálu a jeho spracovania, výber vhodného typu senzoru, návrh a zostrojenie zariadenia schopného zberu, zosilnenia a filtrácie signálu nadobudnutého vybraným senzorom. Tvorba ovládacieho programu určeného na preklad nadobudnutých dát pre komunikáciu a ovládanie externého zariadenia. Testovanie a vyhodnotenie správnosti funkčnosti navrhnutého zariadenia.
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