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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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Selected algorithms for detecting objects in the image and their use in guilding the robotic arm
ŠTINDLOVÁ, Lucie
This research work is focused on the detection of searched places in the image using selected algorithms. The work shows how closely physics is connected with informatics. In addition to the connection of these two areas, the work deals with the explanation of issues related to the fields. First of all, the algorithm is defned as such, as it is one of the key concepts in this work. Furthermore, the work characterizes the image and working with it not only from a cybernetic point of view, but also from a physical point of view. In this case, physical areas examining and describing electromagnetic radiation are expanded to better understand the image. Given that one of the final algorithms is practiced on the image from the thermal camera, the principle of the thermal camera function is generally explained in the work. Attention is also paid to neural networks (artificial intelligence) and the robotic arm. Several areas are mentioned in which this physical-cybernetic system is used. The practical part deals with the Python programming language, in which the basic algorithms are used, which can be used to detect an object in the image. Based on these and similar algorithms, which I would like to elaborate in more depth in the diploma thesis, the robotic arm will be guided.
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Agreement on the Future Agreement according to the arrangement of Commercial Code
Štindlová, Lucie ; Patěk, Daniel (advisor) ; Oehm, Jaroslav (referee)
Resumé Agreement on the Future Agreement according to the arrangement of Commercial Code The thesis deals with the institute of a contract about a future contract in the sense of a commercially legal adjustment. Although the focus is on the analysis of the legal institute according to its currently valid arrangement, the thesis also contains a brief historical excursus about the development of the pacta de contrahendo institute. The reason for it is the fact that a contract about a future contract is a legal institute with a long history which dates in the Roman law, where there cannot be any doubt that the long historical development of the institute of a contract about a future contract contributed to the forming of its current form and concept. From the point of view of the valid legal adjustment of a contract about a future contract implemented by the code of law the thesis deals with single necessities of this legal institute, as to say with the subjects which can conclude a contract about a future contract with essential necessities which condition its valid negotiation. It is also dealt with the consequences of breaking the obligations following from concluding pacta de contrahendo. Collaterally with the analysis of the valid commercially legal adjustment of the pacta de contrahendo institute there...
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