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National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Design of the application for the camera control and machine learning
 Lukaszczyk, Jakub ; Richter, Miloslav (referee) ; Bilík, Šimon (advisor)
This bachelor thesis deals with the design of a program for controlling industrial cameras. The first part deals with current applications, their design and shortcomings. In the practical part, a similar application is then developed using Python. Compared to currently available applications, the developed application provides a modular and open design and can therefore be further extended and modified. The application is further complemented with a link to the Tensorflow library to enable image classification and training of artificial neural network models. The application has been tested and appears to be functional. The thesis concludes by evaluating the results and outlining possibilities for further development.
Detailed record
Visual Anomaly Detection in Industrial Production
 Lukaszczyk, Jakub ; Petyovský, Petr (referee) ; Horák, Karel (advisor)
This work deals with the detection of anomalies in image data taken on an industrial product. The first part outlines the problem and approaches to its solution using deep learning. Then, some of the architectures that can be used for this task are discussed. The practical part then describes the platform for industrial inspection, the software used and the creation of the annotated dataset. The software is extended with features for controlling the platform and working with multiple cameras. The last section deals with experiments designed to investigate the effect of the dataset on the resulting model and the estimation of its performance. The experiments evaluate the influence in both training and testing phases.
Detailed record
Design of the application for the camera control and machine learning
 Lukaszczyk, Jakub ; Richter, Miloslav (referee) ; Bilík, Šimon (advisor)
This bachelor thesis deals with the design of a program for controlling industrial cameras. The first part deals with current applications, their design and shortcomings. In the practical part, a similar application is then developed using Python. Compared to currently available applications, the developed application provides a modular and open design and can therefore be further extended and modified. The application is further complemented with a link to the Tensorflow library to enable image classification and training of artificial neural network models. The application has been tested and appears to be functional. The thesis concludes by evaluating the results and outlining possibilities for further development.
Detailed record

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