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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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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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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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