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Realization of a Model with a Smart Home Components
Fuxa, Dominik ; Sýkora, Tomáš (referee) ; Jirgl, Miroslav (advisor)
At the beginning, Bachelor thesis introduces possible smart home solutions that have already been designed and tested, whether from different companies or freely available open-source solutions. Subsequently, the work is devoted to selecting components for the smart home, programming its own software for managing the smart home, as well as designing a complete functional model.
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Intelligent Household Management
Unzeitig, Patrik ; Široký, Adam (referee) ; Musil, Martin (advisor)
The purpose of this bachelor thesis is to find out how intelligent household management works and then to design and construct system to control home's temperature. This thesis focuses on creation of physical part using Raspberry Pi and on implementation of controlling application, which can be used through touchscreen. Application uses XML file to make data persistent.
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System with Model Servos
Jablonický, Jaroslav ; Nosko, Svetozár (referee) ; Zemčík, Pavel (advisor)
This work is focused on exploring how to control modeling servos by computers. It will also serve as an overview or a guide for beginners. The work includes the design of a simple robot, more precisely it is a simple robotic hand, but in particular it contains control designs from different platforms using different means. Finally, there are recommendations for each platform.
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Detection of attacks on the L2 layer
Štefánik, Jaromír ; Martinásek, Zdeněk (referee) ; Gerlich, Tomáš (advisor)
Bachelor thesis is focused on cybernetic attacks on the second layer of the reference model OSI, namely: DHCP starvation, MAC flooding, Eavesdropping. The first, theoretical, part of the bachelor thesis is focused on the OSI model, types of cybernetic attacks and methods used by cybercriminals (attackers). In the practical part of the bachelor thesis an experimental workplace was set up (local network), the cybernetic attacks were realized, detection algorithms for given attacks were theoretically designed and programs designed to detect the given attacks were created.
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Automation and Accounting of Coffee Machine
Víšek, Jakub ; Ryšavý, Ondřej (referee) ; Pluskal, Jan (advisor)
The goal of this thesis is to design and implement an embedded and information system for automatic accounting of coffee dispensed by a vending machine. Features of the created solution include reliability and portability. The system can be easily extended for use in point of sale applications different to coffee machines. The results enable easy deployment of electronic accounting of purchased products and demonstrate integration of a microcontroller which controls a coffee vending machine on the basis of identifying users by their RFID tags.
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Wireless sensor system
Kotouček, Filip ; Šimek, Milan (referee) ; Botta, Miroslav (advisor)
Bachelor thesis describes the design of wireless sensor network composed of modules deRFmega128 and Raspberry Pi. It Contains a description of the created protocol for wireless communication and protocol for serial interface on the gateway. It also describes web interface for general management of network. The work includes analysis of nodes energy performance and measurement of solar panels as a potential secondary sources of energy.
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Machine Vision: Support for Lab Applications
Starý, Vojtěch ; Holoubek, Tomáš (referee) ; Matoušek, Radomil (advisor)
This diploma thesis deals with machine vision problematics and its use for laboratory applications. Machine vision is basically the substitution of human vision for machines using a video camera and a computer. The essence of this thesis is a brief review of machine vision and the issues associated with machine vision systems and brief description of hardware, software and algorithms used for this work. Implementation of machine vision on Raspberry Pi and Cognex platform. Connection of the Raspberry Pi platform with a parent platform (automaton, robot) and subsequent evaluation of the solution.
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Application of Neural Accelerators on Rapsberry PI
Barna, Kristian ; Sekanina, Lukáš (referee) ; Vašíček, Zdeněk (advisor)
The presented bachelor thesis deals with the statistical evaluation of performance for hardward accelerator of deep neural networks. Describes convolutional neural networks along with mathematical calculations. Explains their acceleration and conversion to a format suitable for the Intel Movidius NCS accelerator. 8 hardware platforms and 22 neural network difficulties were compared experimentally. Up to 105-fold improvement was demonstrated in isolated inference of the MobileNetV2 network for the Raspber Pi platform using an accelerator. Performance between the tested platforms was also evaluated from an energy point of view. The application of facial identity demonstrated the conditions during real use. Possible limits of CNN acceleration on power-limited devices (Raspberry Pi) have been uncovered, especially due to improper selection of input image resolution. All measurements were evaluated by statistical procedures.
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Smart Home Control
Fučík, Jan ; Beran, Vítězslav (referee) ; Zemčík, Pavel (advisor)
This thesis summarizes the subject of intelligent homes and describes commonly used standards and commercial solutions on the market. The thesis covers the design of a low-cost and easy to use smart home system which can be managed over the internet, uses a genetic algorithm for heating regulation optimization and its central computing unit is a low-cost, embedded device with low power consumption. The functionality of the system is verified on a practical application of heating regulation in a house. The efficacy of the system for energy savings is shown; it is based on measured data statistics.
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