This Master's thesis „Secure communication and data protection in the internet of things“ is dealing with crypthografy and crypthographic libraries, which are compared with eachother according to supporting algorithm and standard. For comparing therewere used following libraries: openSSL, wolfSSL, nanoSSL and matrixSSL. Practical part of the thesis is focused on testing the productivity of each ciphers and protocols of openSSL and wolfSSL libraries on RaspberryPi 2 device. Further, the thesis shows the design of communication scenario client-server in the Internet of Things (IoT). Simple authentication protocol client-server was implemented and simulated on RaspberryPi 2 device.

The purpose of this thesis is a design of an automated heating regulation system for an old building. The thesis consists of a system architecture design, an implementation of the system, including prototype manufacturing of the required devices, and testing of the whole system in practice, with focus on functionality and efficiency. Several hardware devices were designed and manufactured, for which appropriate controlling software was implemented. The implemented software architecture enables users to control the system using a graphical user interface, and allows for an easy extension of the system. The graphical user interface, which is accessible both locally through a touchscreen and remotely using a web application, enables users to easily configure connected devices and regulated zones, and to set temperature level in the defined zones variably depending on a week day and time. The user interface also provides statistics about the heating system. The implemented automated heating regulation system was successfully tested in real conditions of a flat in a historical building. The system can be extended both hardware-wise and software-wise.

This thesis deals with the design and implementation of application for control of mobile robot. In the introductory section is discussed used platform GEARS-SMP, the principle of functionality of protocol for servo motors control, format M-JPEG and standard H.264. Further work is dedicated to analysis of designing user interface in robotic applications, available options for control devices and hardware used in remote controller. The following part focuses on the design of robotic application, especially on graphic user interface and virtual head-up display and follow-up implementation of created application in Raspberry Pi. In the end, thesis describes implemented software solution and compares resulting application with the created design.

This dissertation deals with the platform Z-Wave. This platform tries to create an universal system for smart home. The theoretical part of the work describes in details the platform itself as well as the applicable libraries for programming of applications and the available equipments. The practical part presents the new custom gateway. The hardware of this gateway is designed with utilization of the Z-Wave module, Raspberry Pi 3 microcomputer, touchscreen, powerbank and the body of the system. The body has been designed in the Solid Works CAD system and printed on a 3D printer. The needed firmware was loaded into the Z-Wave module ZM5304 and this module has been interconnected with the Raspberry Pi 3 through the printed circuit board of the custom design. The gateway drives OpenZWave network through the new own application written with help of Python wrapper of the library OpenZWave and other open source components. The part of the work is also the list and description of the alternative commercial gateways available on the Czech market.

The purpose of this work is to design and implement a device for collecting temperature and humidity from bee hive. The system consists of a measuring unit that contains digital sensors and actuators.The system transmits the measured values wirelessly to the parent unit, which displays the data in a suitable format to the user. The user can monitor the hive parameters and use the actuators to adjust the temperature inside the hive. The whole system then operates autonomously according to defined rules.

This thesis describes development of autonomous car for Carrera 143 racing track. Main objective of a car is to stop when traffic light shows red, or when there is an obstacle infront of a car. This paper also describes electric schemes used to control the car and their placement on the car. Algorithms developed for image processing are developed for processing unit Raspberry Pi Zero and are written in C/C++ programming language. OpenCV library is used for image processing. All source codes were developed in Microsoft Visual Studio 2019.

This thesis deals with the design and subsequent implementation of a unit inspecting a printed logos on the pen surface. A line-scan camera is used to capture the object. Whole the unit including acquited data processing is controlled by Raspberry Pi 4 platform extended by perifery board. The control of the hardware parts is implemented in C++, the detection algorithms in Python using OpenCV and TensorFlow libraries. The unit has a graphical user interface for control of the inspection process. In the end of the thesis test of the unit reliability is shown.

The aim of this master's thesis thesis is to enable evaluation of quality, or the type of product in industrial applications using artificial neural networks, especially in applications where the classical approach of machine vision is too complicated. The system thus designed is implemented onto a specific hardware platform and becomes a subject to the final optimalisation for the hardware platform for the best performance of the system.

Aim of this thesis is modular design of control system for Golem device, which is used for drug research. Several modules with specified controlled area were designed. They communicate using CAN bus and are controlled by Raspberry Pi computer. The thesis includes PCB design and control firmware for modules, backend application for Raspberry Pi, which provides application interface, and simple protocol used for communication between modules. Designed system was tested in simulated environment.

Práca rieši možnosť zaznamenávať pozíciu osôb v zázname z kamery drona a určovať ich polohu. Absolútna pozícia sledovanej osoby je odvodená vzhľadom k pozícii kamery, teda vzhľadom k umiestneniu drona vybaveného príslušnými senzormi. Zistené dáta sú po ich spracovaní vykreslené ako príslušné cesty. Práca si ďalej dáva za cieľ využiť dostupné riešenia čiastkových problémov: detekcia osôb v obraze, identifikácie jednotlivých osôb v čase, určenie vzdialenosti objektu od kamery, spracovanie potrebných senzorových dát. Následne využiť preskúmané metódy a navrhnúť riešenie, ktoré bude v reálnom čase pracovať na uvedenom probléme. Implementačná časť spočíva vo využití akcelerátoru Intel NCS v spojení s Raspberry Pi priamo ako súčasť drona. Výsledný systém je schopný generovať výstup o polohe osôb v zábere kamery a príslušne ho prezentovať.