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Automated measurements of body temperature against COVID-19
Roman, Matej ; Lázna, Tomáš (referee) ; Chromý, Adam (advisor)
This thesis focuses on the development of an open source software capable of automatic face detection in an image captured by a thermal camera, followed by a temperature measuring. This software is supposed to aid in the COVID-19 pandemics. The developed software is independent of used thermal camera. In this thesis, I am using TIM400 thermal camera. The implementation of the face detection was achieved by an OpenCV module. The methods tested were Template Matching, Eigen Faces, and Cascade Classifier. The last-mentioned had the best results, hence was used in the final version of the software. Cascade Classifier is looking for the eyes and their surrounding area in the image, allowing the software to subsequently measure the temperature on the surface of one's forehead. One can therefore be wearing a face mask or a respirator safely. The temperature measuring works in real time and the software is able to capture several people at once. It then keeps a record of the temperature of each measured individual as well as the time of the measurement. The software as a whole is a part of an installation file compatible with the Windows operating system. The functionality of this software was tested – the video recordings are included in this thesis.
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Industry 4.0 planner
Kubásek, Martin ; Chromý, Adam (referee) ; Burian, František (advisor)
This thesis deals with the design of manufacturing planner for Industry 4.0 testbed. Before design the terms Industry 4.0, MES, ERP are explained. Then the problems concerning this testbed are explained and a possible solution is shown. This solution was supplied as part of the assignment. Planner was made around this solution and its structure and algorithms were shown. Planner is written as a C# application, which generates manufacturing plan from MES input data. This input data is downloaded through REST connection, output is saved to a JSON file. Finally, the results of this planner are shown as a report in xlsx table. The planner can successfully generate a manufacturing plan for Industry 4.0 testbed.
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Visualisation of stationery robot in C#/WPF
Doležal, Milan ; Chromý, Adam (referee) ; Burian, František (advisor)
This bachelor thesis deals with visualisation and simulation of stationery robot in programming language C# and WPF platform. In this thesis a DLL file was made with use of Helix Toolkit library for parametric manipulation of stationery robot. Then for testing purposes was made a application which can parametrically change values of robot joints. Protocol bridge is TCP/IP client which gets XML data from Kuka KRC6 sixx robot.
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Localization and Navigation of Tello Unmanned Aircraft
Panský, Michal ; Chromý, Adam (referee) ; Gábrlík, Petr (advisor)
This bachelor thesis deals with the design of a suitable solution to control the unmanned aircraft Ryze Tello for use in autonomous missions. Its content is to familiarize and test all available SDKs and all the features they offer. Introduction to the location and navigation of robots in indoor spaces. Then there is described ROS and its implementation for the problem using the available SDK with instructions for installation and launch of the practical part. At the end of the work are displayed data obtained during the unmanned aircraft flight and the structure of the communication system, a description of the problems encountered during testing and a discussion of possible extension to this solution.
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Optimization of 3D surface model merging from computational time perspective
Regec, Martin ; Burian, František (referee) ; Chromý, Adam (advisor)
The point of the work is connecting of partial 3D models of surface, which are overlapped in a certain area to a final whole model. The intention of the work is creation of algorithm that is fast enough and reliable enough to connecting partial 3D models and that can become a part of application RoScan Analyzer. In the introduction of the practical part of the work, we sum up problems of the work that we are keeping on. In the next part, the solution and implementation are suggested. In the last part, the outcome of the algorithm is veryfied. Implementation is written in Microsoft .NET Standard.
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Automated classification cell
Lahoda, Vlastimil ; Chromý, Adam (referee) ; Burian, František (advisor)
To optimize production at Tyco Electronics Czech s.r.o. I designed and implemented an automated classification cell with a collaborative manipulator Universal Robots UR5e and a Cognex camera system. The classification cell is supposed to pick up the loose parts and then optically test them, sorting the parts into output binders following the inspection results. First of all, I had to learn programming language for Universal Robots manipulators and Cognex vision system. Next step was to design and draw an electrical diagram. According to the diagram, I connected the cabinet and other peripherals. I also programmed an algorithm controlling the manipulator arm and inspecting of both cameras. Finally, I successfully tested the functionality of the entire classification cell.
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Map machine recognition and optimal path planning
Peška, Jaroslav ; Ligocki, Adam (referee) ; Chromý, Adam (advisor)
This masters thesis continues in the work of two previous theses dealing with machine understanding of maps and modelling terrain. The final program also has to be able to interpret position data from dataloggers and integrate it with the loaded map. The goal for the program is to serve during training of Czech orienteering runners. Position measurement and storage is researched first. Also researched are map markers used to define the terrain. Afterwards, past approaches are evaluated, including identification of most severe issues hindering the usage in real world applications. Many improvements are proposed, for example methods to remove noise in the input data, or to improve processing speed. Lastly, a set of possible improvements to the original applications are made, i.e. methods for denoising the input data or for speedup of the image processing. Proposed improvements are then implemented, the most impactful being processing speed and contour segmentation improvements.
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System for Automatic Calibration of a Robotic Tool
Šála, David ; Chromý, Adam (referee) ; Žalud, Luděk (advisor)
This Master's thesis describes the design and implementation of an experimental sample for automatic calibration of a robotic tool using machine vision methods under the auspices of the company SANEZOO EUROPE s.r.o. It deals with the analysis of all used methods of performing TCP calibration, on the basis of which it is implemented. The application is based on the Point-counterpoint method, where the robot is guided against the calibration point from three different directions, all perpendicular to each other. The calibration point is set using the ArUco marker. In order to detect the endpoint are used images from two cameras that are at the right angles to each other. Using conventional computer vision methods and an HSV filter, the endpoint of the instrument is found in the images and is guided to the calibration point. From the obtained coordinates, the searched endpoint of the robotic tool in the robot coordinates is found using the optimization method Particle Swarm Optimization. This application, therefore, performs TCP calibration in a fast time, thus reducing production downtime almost without human intervention.
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Joining partial 3D surface models into the overall model
Lampáš, Marek ; Lázna, Tomáš (referee) ; Chromý, Adam (advisor)
This bachelor's thesis deals with joining partial 3D surface models, that overlap on certain area, into the overall model. The aim is to describe and explain the algorithm I proposed in the previous semestral thesis and it's subsequent implementation in the C\# language in RoScan system. Introductory part contains short approach of the RoScan system. Next, there is detailed description of the algorithm's principle, that I later implemented and tested on various types of input data. There are two cases that can occur during the connection- either the partial models fits in the absolute coordinates or they do not and they must be fitted first using user-selected corresponding points. This thesis deals with both cases.
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