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The goal of this diploma thesis is to verify the practical applicability of the Raspberry Pi platform in control applications. The work consists of choosing a suitable operating system and implementing a discrete PID algorithm. An important part of the work was the Linux OS modification and compilation. Measurement has demonstrated the usability of the platform in control applications. The result of this work is a discreet PID controller implemented as a Linux kernel module. The solution also includes a web interface as a human-machine interface.

This thesis solves the development of Power Line Monitor. The thesis also describes the specific implementation of hardware, software and results.

The essence of this work is to summarize the knowledge about 3D printing, especially with FDM technologies. Create an overview of used FDM printing materials, identify their advantages and disadvantages, technical parameters and usability. Another purpose of the thesis is to examine the print quality and its problems and specify types of surface finishes for selected materials. The content also includes remote control and monitoring of the 3D print process using the Raspberry Pi microcomputer and the print server named Octoprint.

This thesis deals with design and implementation of wireless system for automated control and monitoring of central heating. Some of the existing solutions and their characteristics are briefly introduced at first. The attention in this thesis is subsequently given to the analysis of wireless technologies and power supply methods suitable for home automation. With regard to ascertained findings, the design and subsequent implementation of system modules using Raspberry Pi, the ARM Cortex-M0+ microcontroller and the ZigBee communication modules were performed. The firmware for created modules was designed and implemented. The designed system can be controlled and monitored using a mobile application for the Android platform, whose design is also described in this thesis.

This master's thesis deals with eye movement tracking using the Raspberry Pi platform. The theoretical part describes eye anatomy, eye detection and eyetracking. A system in Python programming language was designed in the practical part. This algorithm is able to perform the eye tracking function using the Raspberry Pi platform and the RPi Camera module. The OpenCV library is used for loading and preprocessing images from the camera. A method that detects and evaluates the direction of view after a calibration is available. The accuracy of the program is tested on three vector methods and two target methods for four screen resolutions.

The master's thesis introduces cash register system currently used by Brno zoo and Starezsport Brno. The aim of the thesis was to study and describe above-mentioned systems and hardware they are interacting with, to analyze, design and create new custom cashier system. The first chapter includes the analysis of cashier systems, and overview of selected technologies for developement. Second chapter introduces developement designs and practices. The third chapter contains short system documentation and the last, fourth chapter is devoted to testing basic cashier system functionality.

his thesis focuses on optimization of Linux-based operating system for a accumulator-powered device Raspberry Pi 4. Compared to other devices commonly used in Internet of Things projects, the Raspberry Pi 4 offers many functions within one device. However, the disadvantage is the high consumption of electricity. The aim of this thesis is to achieve greatest possible savings in electricity consumption of the Raspberry Pi 4 device, with regard to functionality of the device as a server for data collection from sensors.

The number of discovered vulnerabilities rapidly increases. For example in 2019 there were discovered 20 362 vulnerabilities. The probability of cyber-attacks realization is high. Therefore it is necessary to propose and implement automated and low-cost Intrusion Prevention or Intrusion Detection Systems (IPS/IDS). This implemetation can focus on home use or small corporate networks. The main goal of the system is to detect or mitigate cyber-attack impact as fast as possible. The master's thesis proposes IPS/IDS based on Raspberry Pi that can detect and prevent various cyber-attacks. Contents of this thesis are focus on description of cyber-attacks based on ISO/OSI model's Link and Network layers. Then there is description of IPS/IDS systems and theirs open source representatives. The practical part is focus on experimental workspace, hardware consumption of choosen detection systems, cyber-attacks scenarios and own implementation of detection program. Detection program is based on these chosen systems and puts them together to be easily manageable.

The aim of the course work is to design and implement a driver for touchscreen LCD display. The premise of the connection the display to the microcontroller using the I2C bus and use MCP23017 circuits. Raspberry Pi B + will be used for communication with circuits MCP23017 via I2C bus. Display TFT_320QVT will be connected to the outputs of extension circuits MCP23017. Part of the display complete is also a touchscreen with XPT2046 controller. Raspberry Pi runs on Raspbian system based on the Debian Linux distribution. The driver will serve to communicate and display information on the screen. The complete will be useable for applications such as selecting settings and show main information on the display.