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Person Identification
Svědiroh, Stanislav ; Honec, Peter (referee) ; Richter, Miloslav (advisor)
This thesis focuses on the person identification based on faces. The aim is to create a working solution of person identification for the authentication purposes utilizing the Microsoft Kinect v2 sensor. It contains a summary of the most used algorithms for facial data description and their comparison. Thesis also proposes a PC program that controls the sensor and collects the facial data, saves them, manages keypoint detection and their comparison.
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Position Control With Camera
Ficek, Dominik ; Honec, Peter (referee) ; Richter, Miloslav (advisor)
Thesis focuses on camera’s pose estimation in set world coordinate system. This coordinate system is defined by position of predefined marks. Cursor control is selected as a pose estimation feedback. Aim of this thesis is designing real time cursor control with camera methods. In theoretical part of this thesis is dedicated to explanation of basic theory of image processing, artificial intelligence in computer vision and 3D reconstruction. Following theoretical chapter is a chapter dedicated to the design of two position control with camera methods. First method defines fixed coordinate system and cursor is controlled by camera’s movement. Second method utilizes fixed camera and movable coordinate system. Further chapters are dedicated to realization of designed methods, their evaluation and comparison.
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Defect detection on fiber materials using machine learning
Lang, Matěj ; Richter, Miloslav (referee) ; Honec, Peter (advisor)
Cílem této diplomové práce je automatizace detekce vad ve vláknitých materiálech. Firma SILON se již přes padesát let zabývá výrobou jemné vaty z recyklovaných PET lahví. Tato vata se následně používá ve stavebnictví, automobilovém průmyslu, ale nejčastěji v dámských hygienických potřebách a dětských plenách. Cílem firmy je produkovat co nejkvalitnější výrobek a proto je každá dávka testována v laboratoři s několika přísnými kritérii. Jednám z testů je i množství vadných vláken, jako jsou zacuchané smotky vláken, nebo nevydloužená vlákna, která jsou tvrdá a snadno se lámou. Navrhovaný systém sestává ze snímací lavice fungující jako scanner, která nasnímá vzorek vláken, který byl vložen mezi dvě skleněné desky. Byla provedena série testů s různým osvětlením, která ověřovala vlastnosti Rhodaminu, který se používá právě na rozlišení defektů od ostatních vláken. Tyto defekty mají zpravidla jinou molekulární strukturu, na kterou se barvivo chytá lépe. Protože je Rhodamin fluorescenční barvivo, je možné ho například pod UV světlem snáze rozeznat. Tento postup je využíván při manuální detekci. Při snímání kamerou je možno si vypomoci filtrem na kameře, který odfiltruje excitační světlo a propustí pouze světlo vyzářené Rhodaminem. Součástí výroby skeneru byla i tvorba ovládacího programu. Byla vytvořena vlastní knihovna pro ovládání motoru a byla upravena knihovna pro kameru. Oba systém pak bylo možno ovládat pomocí jednotného GUI, které zajišťovalo pořizování snímku celé desky. Pomocí skeneru byla nasnímána řada snímků, které bylo třeba anotovat, aby bylo možné naučit počítač rozlišovat defekty. Anotace proběhla na pixelové úrovni; každý defekt byl označen v grafickém editoru ve speciální vrstvě. Pro rozlišování byla použita umělá neuronová síť, která funguje na principu konvolucí. Tento typ sítě je navíc plně konvoluční, takže výstupem sítě je obraz, který by měl označit na tom původním vadné pixely. Výsledky naučené sítě jsou v práci prezentovány a diskutovány. Síť byla schopna se naučit rozeznávat většinu defektů a spolehlivě je umí rozeznat a segmentovat. Potíže má v současné době s detekcí rozmazaných defektů na krajích zorného pole a s defekty, jejichž hranice není tolik zřetelná na vstupních obrazech. Nutno zmínit, že zákazník má zájem o kompletní řešení scanneru i s detekčním softwarem a vývoj tohoto zařízení bude pokračovat i po závěru této diplomové práce.
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Visual inspection
Lancz, Michal ; Honec, Peter (referee) ; Richter, Miloslav (advisor)
This semester thesis deals with the issue of visual inspection. As a gruop of controlled objects we have have chosen needles. In this work basic knowledge on the topic of computer vision is described. In the first part, methods of image processing such as smoothing filters and edge filters are discribed. The selected programming environment is Matlab. This enviroment can easily present and compare the obtained result. Following part presents the examples of the used resultant methods on the sample picture.
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Image processing using Android - LPR with external database
Molčány, Peter ; Horák, Karel (referee) ; Honec, Peter (advisor)
The aim of this Master's thesis is designing and developing Android application for automatic number plate recognition with external database lookup. In the introduction we discuss possibilities of number plate recognition in general. Android platform fundamentals, necessary developer tools and multi-platform image processing library OpenCV are described in the second section. In the third section different database types and synchronization methods are introduced. In the fourth section we describe basics of image processing and different algorithms necessary for recognition. Application requirements, involving scene and hardware requirements are defined in the fifth section. In the sixth section application development and algorithm implementation is described. In the seventh section we evalute the results of the detection. In the last section results are summarized and goals are set for further improvement.
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Contactless speed measurement
Opletal, Tomáš ; Janáková, Ilona (referee) ; Honec, Peter (advisor)
Semestral thesis discusses realization of system for Contactless speed measurement of paper. At first, it discusses basics of computer image processing and analysis of movement of an object. The next chapter describes whole process of choosing measurement method, camera, lightning, output interface and description of implemented algorithm. Next chapter contains summary of achieved result. Last chapter describes summary of this work, advantages and disadvantages of this system.
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Image processing using Android device - gas-meter value recognition
Wertheim, Michal ; Davídek, Daniel (referee) ; Honec, Peter (advisor)
This thesis describes the design of the image processing for Android system, consisting of the choice of the development environment and its implementation. Workflow soluti-on to the problem involves development of the Androidapplication and it’s graphical user interface. The text includes description of the application functionality, communica-tionwith a camera, storing and retrieving data. It also describes used algo-rithms and image processing methods used for detecting values from the counter of the gas meter.
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Reliable visual systems
Honec, Peter ; Janáková, Ilona (advisor)
The Doctoral thesis demonstrates the design of reliable industrial visual systems. The special emphasis is dedicated to the detection of defects on webs in industrial applications based on line-scan cameras. This system makes possible detection and classification of defects originating during the real production conditions. This work covers a theoretical study of a visual system for the defect detection on endless bands as well as of appropriate lighting and the scene arrangement. Further to that have been selected, adjusted and designed key components of hardware. Following the design and optimization of algorithms a system prototype had been installed on non-woven textiles production line. Eight visual systems implemented into real-life industrial conditions based on this prototype
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Design of LED lighting for industrial camera systems
Svoboda, Martin ; Honec, Peter (referee) ; Janáková, Ilona (advisor)
The bachelor thesis deals with the development, design and construction of multispectral lighting for industrial camera systems. The lighting is conceived as a modular device consisting of two parts - a control unit, which can be communicated primarily through the Modbus TCP / IP protocol, which powers, controls and collects information about the connected lighting unit. The illumination unit is equipped with 64 intelligent RGBW light emitting diodes located in an 8x8 matrix and one control diode opposite to which light intensity sensors are placed to give feedback on the color and intensity of the light. There are two temperature sensors located between the LEDs to check the temperature of the lighting unit. Both units are housed in a robust aluminum chassis. The control unit contains a microcomputer programmed in C language
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Adjustment of scene for electronic devices detection
Hynčica, Tomáš ; Honec, Peter (referee) ; Janáková, Ilona (advisor)
This work describes development of control hardware and software for automatic production of tuning fork with tip for atomic force microscopy (AFM). A specialized device implementing the problem is developed and tested. The advantage of the proposed solution is the ability to produce the tuning forks with constant parameters, which is an important condition for successful work with the microscope.
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