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Comparison of methods for indoor localization
Povolný, Ondřej ; Rozum, Stanislav (referee) ; Frýza, Tomáš (advisor)
The bachelor thesis is in theoretical part focused on the ideas of the localization of people or objects, using the IoT technologies, namely ZigBee and Lora™. The possible methods of localization are mentioned, with the mention of parameters of the used technologies and the overview of existing modules that are obtainable on the market. The result of a practical part is design of PCBs, the basic testing of hardware and software and the analysis of the obtained data.
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Location Estimation of Objects in WiFi Communication Network
Kohoutek, Jan ; Strnadel, Josef (referee) ; Šimek, Václav (advisor)
The purpose of the thesis is to design and physically implement a system for location of devices in a Wi-Fi based networks deployed in the interior of small and medium-sized enterprises. First of all, the attention is given to the survey of commonly available technologies suitable for determination of the object position. Then, based on these findings, architecture of a location system comprising an array of sensor nodes and central processing unit is proposed. In conclusion, the results are presented and the fulfillment of the requirements is evaluated.
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3D Face Reconstruction
Poulíček, Zbyněk ; Šiler, Ondřej (referee) ; Španěl, Michal (advisor)
The top of this thesis is 3D face reconstruction by the help the projected regular grid from the 2D image. It also includes the grid detection and the description of methods that are needed to raster image processing. The application was written in C++ programming language, it uses OpenCV graphic library, and also it is designed for OS Windows XP and higher.
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Optic disc segmentation in retinal images
Vymazal, Bronislav ; Odstrčilík, Jan (referee) ; Kolář, Radim (advisor)
Cílem této práce bylo vytvořit kompaktní algoritmus sloužící k lokalizaci, segmentaci a sledování optického disku v sekvencích obrazů sítnice. Pro účely lokalizace byla použita nová metoda založena na „fast radial transform“. Segmentace optického disku je založena na klasické metodě Chan-Vese, která byla rozšířena o další prvky a implementována v lokalizované podobě, která umožňuje lépe segmentovat obrazy s vysokou mírou nehomogenity. Pro sledování optického disku v sekvencích obrazů byl využit optický tok založený na Lucas-Kanade algoritmu. Všechny metody byly vyhodnoceny na dvou databázích obrazů s odlišnými charakteristikami. První databází je klasická databáze s vysokým rozlišením. Druhou je pak databáze s nízkým rozlišením a vysokou mírou šumu. Všechny výsledky jsou pak porovnány s referenčními hodnotami a vyhodnoceny.
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System for People Detection and Localization Using Thermal Imaging Cameras
Charvát, Michal ; Kempter, Guido (referee) ; Drahanský, Martin (advisor)
V dnešním světě je neustále se zvyšující poptávka po spolehlivých automatizovaných mechanismech pro detekci a lokalizaci osob pro různé účely -- od analýzy pohybu návštěvníků v muzeích přes ovládání chytrých domovů až po hlídání nebezpečných oblastí, jimiž jsou například nástupiště vlakových stanic. Představujeme metodu detekce a lokalizace osob s pomocí nízkonákladových termálních kamer FLIR Lepton 3.5 a malých počítačů Raspberry Pi 3B+. Tento projekt, navazující na předchozí bakalářský projekt "Detekce lidí v místnosti za použití nízkonákladové termální kamery", nově podporuje modelování komplexních scén s polygonálními okraji a více termálními kamerami. V této práci představujeme vylepšenou knihovnu řízení a snímání pro kameru Lepton 3.5, novou techniku detekce lidí používající nejmodernější YOLO (You Only Look Once) detektor objektů v reálném čase, založený na hlubokých neuronových sítích, dále novou automaticky konfigurovatelnou termální jednotku, chráněnou schránkou z 3D tiskárny pro bezpečnou manipulaci, a v neposlední řadě také podrobný návod instalace detekčního systému do nového prostředí a další podpůrné nástroje a vylepšení. Výsledky nového systému demonstrujeme příkladem analýzy pohybu osob v Národním muzeu v Praze.
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Distribution Logistics of Selected Company
Tyralíková, Alžběta ; Kula, Karel (referee) ; Juřica, Pavel (advisor)
This Bachelor´s thesis deals with creating a new distribution warehouse by TONDACH Czech Republic s. r. o. At first it explains the basic and professional concepts of logistics and project management, introduces the reader with the solution of the issues. The following section analyzes the actual status of the company logistics, stakeholders and introducing the project strategy of establishing the warehouse. At the conclusion summarizes the benefits of a distribution warehouse and financial evaluation.
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Methods for localization of pulsed broadband signal source
Machala, Petr ; Hadinec, Michal (referee) ; Drexler, Petr (advisor)
The topic of this barchelor’s thesis is the analysis of problems regarding localization of partial discharges (PD) and related PD recording, processing and interpretation in time and frequency domain. In majority of cases the occurrence of partial discharges refers to a certain defect in the measured device, therefore in practice (eg large equipment such as oil transformers) it appears to be very useful and economical to determine the exact position, where PDs are formed. To address these complex issues, it is necessary to design the entire measuring chain from PD detection to measured data processing and localization itself. In terms of data processing and PD localization many different localization and detection methods can be applied, some of them are presented in this documentation. These methods are gradually studied, implemented and afterwards tested using the input data of the experiment.
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Localization of the caller in emergency medicine information system
Maleňák, Filip ; Sekora, Jiří (referee) ; Rozman, Jiří (advisor)
Aim of this bachelor’s thesis is to analyze methods that are used for localization of the caller during emergency call to 155 and the importance of an accurate localization during the rescue operation. Describe other methods that can be used for localization of the caller and draft of the solution for use these methods to enhanced localization of the caller. Emergency line is presented by the module of emergency operation center in emergency medical service information system. Proposed solution for enhanced localization of the caller is given by the iPhone application iSOS. The application was designed on requirement of simplicity and maximum efficiency of caller localization in emergency situation.
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Detection, Localization, and Decoding QR Code in Image
Kałuża, Marian ; Juránková, Markéta (referee) ; Herout, Adam (advisor)
This thesis describes the QR Code detector based on detecting edge lines using Hough Transform and point-to-line parametrization. Generally, the presented method can be also used for detecting different types of matrix codes. This approach searches in the accumulated Hough space for evidence of the matrix code as one compound object. It detects parallel lines by finding a concurrent lines' image groups in the transformed space. It contrasts with the common approach which is first detect the lines and calculate the vanishing point afterwards, which omit much of the useful information stored in the Hough space which can be useful for the detection of vanishing points. The purpose of this thesis is a research of methods which can detect the QR Code in spite of rotation, perspective distortion or uneven illumination. The experimental evaluation shows that the presented algorithm is stable and accurate and is tolerant to high degrees of perspective deformation.
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Deep-learning based localization of cardiac arrhythimas in ECG
Khaliullina, Sabina ; Novotná, Petra (referee) ; Ronzhina, Marina (advisor)
The thesis deals with the localization and classification of atrial atrial fibrillation. In Python, a detection method using convolutional neural networks with multi-instance learning (MIL) and the method of local maxima for localization were implemented. Segments from two ECG leads were used. In the binary classification using the first subset and subsequent post processing, the F1 score reached 100 %, in the classification using the second subset 92 %. In the discussion and conclusion of the work, the success of classification and localization was evaluated, the achieved results were discussed and compared the with the results of other authors.
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