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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Physical aspects of digital image and object detection using convolutional neural networsk
 ŠTINDLOVÁ, Lucie
The thesis is focused on computer vision and the comparison of trained deep learning models. In the theoretical part, a detailed overview of the physical properties of the visible electromagnetic spectrum and the principles of the digital image, including it, is processed. This is followed by a review of image processing methods, where conventional methods and then convolutional neural networks are briefly characterized. The practical part is focused on creating a suitable dataset with annotations, which is further applied for training selected models. The variability and accuracy of the obtained results is analyzed from the point of view of the selected evaluation metrics, as well as based on the experimental determination of input parameters for training.
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Identifikace železničních vozů na základě obrazové informace
 ŠEPS, Pavel
This master's thesis focuses on the design and implementation of railway wagon indetification system based on the identifying information on the side of each wagon. It describes the search for the optimal image preprocessing, comparison of OCR services, search for the suitable technologies and evaluation of the quality of the finished application. Part of this thesis also describes existing solutions and the application development and functionality. To obtain the images of the wagons, a photo trap is designed and assembled, which is then located near the train track. A custom neural network was built to find the identifying information and a custom annotation application was developed to create the test and training sets. The final identification application then implements this neural network. It also uses Azure OCR services. It is designed to automate the manual process and is ready for use in real operation.
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