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Visual inspection of PCB installation
Cherniaev, Egor ; Dobrovský, Ladislav (referee) ; Matoušek, Radomil (advisor)
Vizuální kontrola DPS je významnou oblastí rozvoje aplikované informatiky v elektronickém průmyslu. Předložená práce je věnována teoretickému průzkumu používaných algoritmů pro identifikaci defektů montáže komponent na desky plošných spojů a praktické implementaci systému pro automatizaci obecné vizuální kontroly. Průzkum je primárně zaměřen na případy chybějících komponent, orientaci kapacitorů a kvalitu potisku na desce. Praktická část je věnována návrhu a implementaci vlastního systému na frameworku ROS2. Práce popisuje různé aspekty vývoje a použití daného systému. Součástí práce je veřejně přístupný dataset s více než 300 snímky DPS získanými průmyslovou kamerou. Závěrem je provedeno hodnocení přínosu předložené práce.
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Detection of parking space availability based on video
Kužela, Miloslav ; Zelený, Ondřej (referee) ; Frýza, Tomáš (advisor)
Detekování obsazenosti parkovacích míst je často řešeno použitím senzorů umístěných v blízké lokaci parkovacího místa. Se vzrůstem strojového učení je možnost využití této technologie za použití kamer a detekčních algoritmů. Práce se zabývá právě vytvořením a použitím takového modelu k detekci obsazenosti parkoviště. Probírá existující modely a detektory, vytvoření vlastního datasetu s konkrétní strukturou, vytvoření a naučení různých typů modelů a probrání vysledků při testování daných modelů na vlastních záznamech z parkovací plochy. Poté následné vytvoření webové aplikace na které můžou návštěvnící parkoviště pozorovat obsazenost parkoviště. Vše za použití programovacího jazyka Python s knihovnami Torchvision.
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Machine vision for robotic manufacturing systems
Vávra, Daniel ; Bradáč, František (referee) ; Vetiška, Jan (advisor)
This master thesis focuses on creation of program in TwinCAT Vision environment for contour vertices detection on specified object using a camera. Teoretical part focuses on state of the art in the field of machine vision, including hardware components and introduction to image processing. Practical part deals with the program creation, including real assembly of the testing workplace with the camera. This thesis also deals with the robot guidance for object handling, therefore an example of gripper concept for specified object handling is designed. At the end of the practical part the created program is tested. Testing results are part of the digital attachment of this thesis.
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Detection of Material Surface Damage Based on a Photograph
Marek, Radek ; Sakin, Martin (referee) ; Dyk, Tomáš (advisor)
This work focuses on the use of various types of neural networks for detecting surface damage of materials from photographs and evaluates their effectiveness. Identifying different types of damage, such as cracks, scratches, and other defects, is essential for assessing the condition of materials and may indicate the need for further maintenance or repairs. The use of advanced neural networks allows for more precise detection and classification of damage, which is crucial for applications in areas such as construction, the automotive industry, and aerospace engineering, where rapid and reliable diagnostics of material defects are critical. Integrating these technologies into regular inspection processes can significantly improve accident prevention and extend the lifespan of structural components. The work also discusses the possibilities for improvement and adaptation of algorithms to specific materials and types of damage. Thus, this work demonstrates how advanced machine learning technologies can significantly contribute to more effective and reliable material condition monitoring, opening paths for future innovations in maintenance and safety.
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Visual inspection of surface treatment using machine vision
Tsarykau, Matsvei ; Sujová, Sára (referee) ; Škrabánek, Pavel (advisor)
Automated visual inspection of surface finishes is a fundamental challenge that can be solved by integrating machine vision systems. This work aims to analyze, design, implement and test such a system. The proposed system includes the selection of suitable hardware, the design of its placement relative to the target object, and the formulation of an algorithm for processing the image data captured by the system. In addition, it forms an integral part of the testing phase to evaluate the quality of object classification.
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Detection of a Semi-Structured Semi-Finished Product from a Defined Area Using Artificial Intelligence Methods
Zmrzlý, Jan ; Škrabánek, Pavel (referee) ; Juříček, Martin (advisor)
This thesis addresses the issue of machine vision in the context of Industry 4.0, with an emphasis on the detection of semi-structured objects from surfaces. The first part of the thesis discusses the theoretical aspects of the task, including selected machine vision algorithms and the use of neural networks in this area. Furthermore, a survey of the available methods for solving this problem is conducted, as well as the current state of the art of the EDUset ONE robotic cell with respect to machine vision. Based on the analysis, a hardware solution in the form of camera, lighting and other components is proposed. Subsequently, the design and implementation of different methods for detecting multiple types of objects is carried out, with emphasis on modularity, efficiency and accuracy. Finally, the work compares these methods and verifies their functionality in interaction with a real robotic cell.
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Design and virtual commissioning of an educational robotic cell
Novák, Štěpán ; Bražina, Jakub (referee) ; Vetiška, Jan (advisor)
This master's thesis discusses the creation of a virtual commissioning of a machine vision demonstration program in an educational robot cell. The first section of this thesis deals with the theory in robotics, virtual commissioning and machine vision. Systemic analysis of the problem was addressed in the second section. The third section cotains the design of the cell. The fourth section describes the design of some individual parts of the cell, the process of creating the program and virtual commissioning itself.
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Drone position stabilization methods using image data
Koukal, Ondřej ; Raichl, Petr (referee) ; Janoušek, Jiří (advisor)
This bachelor’s thesis focuses on the design of an unmanned aircraft stabilization system. The purpose of this system is to determine the exact position of the unmanned aircraft in space based on image data from two cameras in real time. The theoretical part describes the image processing methods and the algorithm for determining the position of the unmanned aircraft. The practical part describes the implementation and testing of the system.
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Synchronization of the robot motion with a moving conveyor belt
Nagy, Marek ; Pochylý, Aleš (referee) ; Kubela, Tomáš (advisor)
Diploma thesis is focused on the solution of synchronization of the robot motion with a moving conveyor belt. It informs about basic principles and possibilities of using similar applications. It describes individual elements used in the application, their importance and function. It provides an overview of proposed program codes for the programmable logic controller, the smart camera and the robot. The result is the creation of a functional illustrative application with KUKA robot.
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Robot vision and 3D image acquiring
Arnošt, David ; Pochylý, Aleš (referee) ; Kubela, Tomáš (advisor)
Master´s thesis is describing basic concepts in machine vision. Used camera systems and possible imaging 2D and 3D are described. Practical part deals with constructin of scanning device with linear actuator, conveyor belt, camera and laser. For experimental use is construction of scanning device made for 2D and 3D image using several methods.
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