National Repository of Grey Literature 111 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
Descriptor for Identification of a Person by the Face
Coufal, Tomáš ; Orság, Filip (referee) ; Goldmann, Tomáš (advisor)
Thesis provides an overview and discussion of current findings in the field of biometrics. In particular, it focuses on facial recognition subject. Special attention is payed to convolutional neural networks and capsule networks. Thesis then lists current approaches and state-of-the-art implementations. Based on these findings it provides insight into engineering a very own solution based of CapsNet architecture. Moreover, thesis discussed advantages and capabilitied of capsule neural networks for identification of a person by its face.
Detection of a Drone in Space
Rydlo, Štěpán ; Orság, Filip (referee) ; Drahanský, Martin (advisor)
This master thesis purposes is create localization system using software defined radio. The purpose of this thesis is to create new localization system, which will be independent of existing systems. To create a localization system, we will use ADALM-PLUTO device to send and receive radio signals. This work contains a decription of serval possibilities how to create the localization system and description of their comunication.
Localization of People in the Building
Randýsek, Vojtěch ; Orság, Filip (referee) ; Sakin, Martin (advisor)
The aim of this thesis is to create a personal indoor positioning system. In this work, new systembasedonaBluetoothtechnologyisproposed.Personlocalizationisaccomplishedby usingthefingerprintingmethod.Proposedsystemconsistsofadatabase,awebapplication, a hardware layer and communication services. For the purpose of demonstration of the proposed system a video was made. System in the video, using propsed methods, gained standard accuracy of 2.46 m and standard deviation of 2 m. These results show that the combination of used technology leads to a succesful localization of people in buildings.
Multicameras Biometric Gateway to Identify People
Kosík, Dominik ; Orság, Filip (referee) ; Goldmann, Tomáš (advisor)
This thesis is about creating biometric gate to identify people. The Identification is achieved with 5 RGB cameras and one thermal camera. Thermal camera is used for detection of person. Then, from images acquired from RGB cameras, is created 3D model of photographed person. This model is then used for the identification. However due to inaccuracies in created model, identification isn't precise enough. Because of that, it's necessary to modify used algorithms processing 3D model, so better precision is achieved.
x86 Assembler Simulator for Education
Heštera, Andrej ; Semerád, Lukáš (referee) ; Orság, Filip (advisor)
Point of this thesis is gain knowledge base of x86 Instruction Set Architecture and x86 assembly language through analysis. Based on this knowledge, design and implement simulation environment in object oriented programming language Java SE8. This environment will give user option to create code based on conventions and syntax of Netwide Assembler and simulate created code on virtual representation - simulation model, which will imitate behavior of processor implementing instruction set architecture x86. The result of using this environment should be new knowledge for user about basic function of machine code execution and how this execution alters state of processor, without the need to specially compile created code for use in Debugger and having physical system implementing architecture x86.
Head Pose Estimation in an Image by a Neural Network
Rybnikár, Lukáš ; Goldmann, Tomáš (referee) ; Orság, Filip (advisor)
Artificial neural networks are not a novelty, but their recent rise in popularity is noticeable as well as their gain of attention from the masses. This bachelor thesis focuses on the head pose estimation in an image using the convolution neural networks. The fields of use of neural networks are vast and during last years strong enough hardware has been developed to allow us to train these networks under commonly accessible conditions. In theoretical part there are neural networks introduced with an explanation of what they are, how they work, how they are divided followed by a detailed description of convolutional neural networks. In the practical part the necessary tools used for development needed to perform experiments, such as determining appropriate configuration for neural network and optimization to get the best results possible, are described.
Device for Imitation of Static and Dynamic Handwriting Characteristics
Pawlus, Jan ; Orság, Filip (referee) ; Drahanský, Martin (advisor)
This project deals with designing and assembling a system for imitation of static and dynamic handwriting characteristics. This system's design takes into account special pen targeted for getting the handwriting characteristics, working with these characteristics and their imitation with a 3D printer altered for this purpose. This topic might be interesting because research about this specific field, which would include a real demonstration of how a signature can be forged using dynamic handwriting characteristics not by forger's hand, barely exists. The problem with preventing forgery is that we need to know the attack well, which is a clear motivation for this project.
Intelligent System for Detection of Undesirable Gases and Smoke in the Interior
Kurák, Ondrej ; Orság, Filip (referee) ; Goldmann, Tomáš (advisor)
The object of this work is to create a device capable of detecting smoke and hazardous gases produced by a fire. To solve the problem is designed the device that can detect these dangerous substances before an injury or property damage. The provided solution provides smoke detection, measuring the concentration of various gases and sending these values over a wireless connection in real time.
Detector of the Human Head in Image
Svoboda, Jakub ; Orság, Filip (referee) ; Goldmann, Tomáš (advisor)
Detection of human head is an important part of person detection and identification algorithms. This thesis is focused on the detection of human head with methods based on neural networks. The majority the of conventional detectors can identify objects within a limited range of positions, whereas models based on neural networks offer a more robust approach. In this thesis we trained the current state-of-the-art models and compared their accuracy and speed. The most accurate model proved to be RetinaNet which has reached 85.15% AP. This detector can be used to improve current available algorithms for person detection, identification and tracking.
Adding Geographic Coordinates Based on Track Record to Photographs
Mareš, Jiří ; Orság, Filip (referee) ; Semerád, Lukáš (advisor)
The aim of this bachelor thesis is to fill photos metadata with geographic coordinates using a track record obtained from the GPS system. Besides the automated process, users are given the ability to modify or fill the data themselves through a map canvas with the recorded track. The goal is to implement simple user-friendly application for this purpose. The Application was created using the Java programming language and this allows for great multiplatform compatibility.

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