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Internet of Things
Piškula, David ; Nosko, Svetozár (referee) ; Musil, Petr (advisor)
This thesis focuses on the Internet of Things and some of the most important problems it faces today. Among these are the overdependence on the Cloud and lack of autonomy, poor security and privacy, complicated initialization and power consumption. The work aims to implement a complex IoT solution that solves the discussed problems. The project is part of a collaboration with NXP Semicondutors and will be used to showcase the company's technologies.
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Acceleration of Face Recognition Algorithm with Neural Compute Stick 2
Mičánková, Eva ; Beran, Jan (referee) ; Goldmann, Tomáš (advisor)
This thesis focuses on the issue of facial recognition in a face image using neural networks and its acceleration. It provides an overview of previously used techniques and addresses the use of currently dominant convolutional neural networks to solve this issue. The work also focuses on acceleration mechanisms that can be used in this area. Based on the knowledge of the issue, a system based on the concept of edge computing was created, which can be used as a home security system connected to an IP camera, which sends a notification about the presence of an unknown person in a guarded area.
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Internet of Things
Piškula, David ; Nosko, Svetozár (referee) ; Musil, Petr (advisor)
This thesis focuses on the Internet of Things and some of the most important problems it faces today. Among these are the overdependence on the Cloud and lack of autonomy, poor security and privacy, complicated initialization and power consumption. The work aims to implement a complex IoT solution that solves the discussed problems. The project is part of a collaboration with NXP Semicondutors and will be used to showcase the company's technologies.
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Fog computing
Poplštein, Karel ; Karkošková, Soňa (advisor) ; Feuerlicht, Jiří (referee)
The purpose of this bachelor's thesis is to address fog computing technology, that emerged as a possible solution for the internet of things requirements and aims to lower latency and network bandwidth by moving a substantial part of computing operation to the network edge. The thesis identifies advantages as well as potential threats and analyses the possible solutions to these problems, proceeding to comparison of cloud and fog computing and specifying areas of use for both of them. Finally, it examines the perspective of fog computing technology and its possible future development.
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