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3D reconstruction
Vít, Luboš ; Honec, Peter (referee) ; Richter, Miloslav (advisor)
The thesis focuses on 3D measurement using line scan cameras. In response to the emphasis on quality and automatization of production nowadays, the line scan cameras are the appropriate devices providing accuracy for a belt product inspection. The first part of the thesis discusses the desing theory of optics, sensoring and image processing. The realisation of designing a mathematic instrument for evaluation of 3D shape, designing a test workspace and the main sensoring of the scene with processing with basic measuring algorithms is a content of the second part of the thesis.
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LED detection using SSE instruction set
Stachera, Tomáš ; Janáková, Ilona (referee) ; Honec, Peter (advisor)
The themes of this work is to make an instruction set for detection and counting LED in power supply control panel, with using SSE instruction set algorithm. The goal will be to compare function time for optimized and not optimized functions. The first part focuses on SSE instructions introduction, as well as on introduction of some functions using SSE instructions. The second part is dealing with algorithm for detection and counting LEDs and possibility of those algorithms optimizing with SSE instruction set. Next part introduces user interface for developed functions testing. On the very end I compare results of all functions and evaluate these results.
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Traffic Signs Detection and Recognition
Číp, Pavel ; Honec, Peter (referee) ; Horák, Karel (advisor)
The thesis deals with traffic sign detection and recongnition in the urban environment and outside the town. A precondition for implementation of the system is built-in camera, usually in a car rear-view mirror. The camera scans the scene before the vehicle. The image data are transfered to the connected PC, where the data are transformation to information and evalutations. If the sign was detected the system is visually warned the driver. For a successful goal is divided into four separate blocks. The first part is the preparing of the image data. There are color segmentation with knowledge of color combination traffic signs in Czech Republic. Second part is deals with shape detection in segmentation image. Part number three is deals with recognition of inner pictogram and its finding in the image database. The final part is the visual output of displaying founded traffic signs. The thesis has been prepader so as to ensure detection of all relevant traffic signs in three basic color combinations according to existing by Decree of Ministry of Transport of Czech Republic. The result is the source code for the program MATLAB. .
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Goniophotometer
Ivor, Martin ; Janáková, Ilona (referee) ; Honec, Peter (advisor)
The thesis deals with the design of a goniophotometer and the GUI (Graphical User Interface), capable of evaluating the photometric parameters of light sources and luminaires. The introduction contains theoretical information about photometry, photometric parameters, light sources, lamps, as well as the theory of measuring these parameters, and basic globally used data formats, designed to store the parameters of light sources. The core of this thesis, then describes the hardware, that makes up the proposed device, and the software needed to control the measurement process, visualization and storing the results. The conclusion is an evaluation of the functionality of the described device, and the measurements that were mediated by it, and an overall summary of the results achieved.
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High data rate image processing using CUDA/OpenCL
Sedláček, Filip ; Klečka, Jan (referee) ; Honec, Peter (advisor)
The main objective of this research is to propose optimization of the defect detection algorithm in the production of nonwoven textile. The algorithm was developed by CAMEA spol. s.r.o. As a consequence of upgrading the current camera system to a more powerful one, it will be necessary to optimize the current algorithm and choose the hardware with the appropriate architecture on which the calculations will be performed. This work will describe a usefull programming techniques of CUDA software architecture and OpenCL framework in details. Using these tools, we proposed to implement a parallel equivalent of the current algorithm, describe various optimization methods, and we designed a GUI to test these methods.
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Image processing using Android device - electricity meter value recognition
Sliž, Jiří ; Klečka, Jan (referee) ; Honec, Peter (advisor)
The aim of the work is to design an application for mobile devices with the Android operating system. This application allows image capturing with a camera and image processing with the support of the OpenCV library. The purpose of this application is automatic value recognition of the analog electrometer. The text contains a description of the analog electrometers. The following is characteristic of Android operating system, and this part is directly connected to a draft of the application itself. Next part contains the image processing algorithms, testing and implementation into Android application.
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Microdots scanner
Červinka, Luděk ; Honec, Peter (referee) ; Horák, Karel (advisor)
The microdots are very small object. The microdots are applied in protection object. The project purpose is to find and to analyze the microdots. The project consists from two parts. A first part describes the hardware sensor construction and a second part describes the software solution. I selected the optics, camera module and illumination in the hardware part. I’m analyzing of the microdots on a picture in software part.
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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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