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Detection and Classification of Photovoltaic Power Plant Panel Defects from a Drone Thermal Imaging Camera
Haužvic, Filip ; Materna, Zdeněk (referee) ; Bambušek, Daniel (advisor)
The thesis describes the processing of thermal images of photovoltaic power plants captured by a drone. In contemporary solutions, the images are analyzed manually, where an expert in thermal imaging searches for defects in individual panels. This approach is very time-consuming, and introducing some level of automation could ease the process. Therefore, I trained and utilized a U-Net model that detects hot spots in the images. To visualize and present the defects to the user, I designed and created a web-based application that highlights them in a complete orthomosaic of the photovoltaic power plant. Within the application, a user can annotate PV panels in the power plant and manually remove, or add any defect. When the plant is wholly annotated, an export to a spreadsheet can be created, matching defects to the individual annotated panels.
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Reliable visual systems
Honec, Peter ; Janáková, Ilona (advisor)
The Doctoral thesis demonstrates the design of reliable industrial visual systems. The special emphasis is dedicated to the detection of defects on webs in industrial applications based on line-scan cameras. This system makes possible detection and classification of defects originating during the real production conditions. This work covers a theoretical study of a visual system for the defect detection on endless bands as well as of appropriate lighting and the scene arrangement. Further to that have been selected, adjusted and designed key components of hardware. Following the design and optimization of algorithms a system prototype had been installed on non-woven textiles production line. Eight visual systems implemented into real-life industrial conditions based on this prototype
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Quality Assurance Network
Ježek, Jiří ; Maradová, Karla (referee) ; Rozehnalová, Jana (advisor)
The bachelor thesis deals with increase of quality of manufacturing process using the QA network. This tool graphically maps the occurrence and detection of defects in manufacturing process so that the defect is detected as soon as possible after its occurrence. The method Failure mode and effects analysis (FMEA) was used as the source for preparation of Quality Assurance Network. In the thesis, there is an analysis of a current situation in branch of quality – improving process and failure mode and effects analysis. After that there is a realization of QA network and the evaluation of the solved issue in conclusion.
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Detection of printing defects
Boček, Václav ; Boštík, Ondřej (referee) ; Honec, Peter (advisor)
This thesis deals with the design and subsequent implementation of a unit inspecting a printed logos on the pen surface. A line-scan camera is used to capture the object. Whole the unit including acquited data processing is controlled by Raspberry Pi 4 platform extended by perifery board. The control of the hardware parts is implemented in C++, the detection algorithms in Python using OpenCV and TensorFlow libraries. The unit has a graphical user interface for control of the inspection process. In the end of the thesis test of the unit reliability is shown.
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Optical analysis of metal materials
Smrčka, Jiří ; Richter, Miloslav (referee) ; Petyovský, Petr (advisor)
The aim of this thesis is to propose a suitable method for automatic detection of so-called "macro-particels" on a thin coating layer. The first part deals with the theory of scanning and processing image data. The second part of this thesis deals with the principles of emergence of the "macro-particles" on a thin coating layer and their optical properties. The last part proposes a method for automatic detection of the "macro-particles" on a thin coating layer.
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Web defects classification
Janošík, Zdeněk ; Petyovský, Petr (referee) ; Honec, Peter (advisor)
In this master thesis is described how to design and implement classifier of defects detected during the final stage of production nonwovens. The beginning of the thesis is devoted to the analysis of options for image processing and classification. Followed by the part, where is described process of image segmentation and extraction of feature vector. Description of classifier implementation and table of achieved results of classification on real images of detected defects.
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Quality Assurance Network
Ježek, Jiří ; Maradová, Karla (referee) ; Rozehnalová, Jana (advisor)
The bachelor thesis deals with increase of quality of manufacturing process using the QA network. This tool graphically maps the occurrence and detection of defects in manufacturing process so that the defect is detected as soon as possible after its occurrence. The method Failure mode and effects analysis (FMEA) was used as the source for preparation of Quality Assurance Network. In the thesis, there is an analysis of a current situation in branch of quality – improving process and failure mode and effects analysis. After that there is a realization of QA network and the evaluation of the solved issue in conclusion.
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Detection of printing defects
Boček, Václav ; Boštík, Ondřej (referee) ; Honec, Peter (advisor)
This thesis deals with the design and subsequent implementation of a unit inspecting a printed logos on the pen surface. A line-scan camera is used to capture the object. Whole the unit including acquited data processing is controlled by Raspberry Pi 4 platform extended by perifery board. The control of the hardware parts is implemented in C++, the detection algorithms in Python using OpenCV and TensorFlow libraries. The unit has a graphical user interface for control of the inspection process. In the end of the thesis test of the unit reliability is shown.
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Reliable visual systems
Honec, Peter ; Janáková, Ilona (advisor)
The Doctoral thesis demonstrates the design of reliable industrial visual systems. The special emphasis is dedicated to the detection of defects on webs in industrial applications based on line-scan cameras. This system makes possible detection and classification of defects originating during the real production conditions. This work covers a theoretical study of a visual system for the defect detection on endless bands as well as of appropriate lighting and the scene arrangement. Further to that have been selected, adjusted and designed key components of hardware. Following the design and optimization of algorithms a system prototype had been installed on non-woven textiles production line. Eight visual systems implemented into real-life industrial conditions based on this prototype
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Optical analysis of metal materials
Smrčka, Jiří ; Richter, Miloslav (referee) ; Petyovský, Petr (advisor)
The aim of this thesis is to propose a suitable method for automatic detection of so-called "macro-particels" on a thin coating layer. The first part deals with the theory of scanning and processing image data. The second part of this thesis deals with the principles of emergence of the "macro-particles" on a thin coating layer and their optical properties. The last part proposes a method for automatic detection of the "macro-particles" on a thin coating layer.
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