The aim of this thesis is to modify commercially produced drone DJI Matrice 100 and replace its original control unit by open source Pixhawk and its accessories. Subsequently, it deals with the selection of suitable open source firmware for Pixhawk and its configuration on the device. Another part is dedicated to the possibilities of using the Robotic Operating System (ROS) and its Mavros libraries on the onboard computer Raspberry Pi. By using Mavros, it examines the possibilities of drone flight control, both in the simulation environment and in the real environment.

This master‘s thesis deals with applications for tablets running Android to control the car. As a control unit is used Raspberry Pi with Edimax WiFi module. The practical part focuses on the realization of applications for tablet and board layout for switching lights.

Result of my work is make device for logging visitors or game players. I arranged to make two devices, web pages and communication protocol between server and devices. Graphical device will have graphical display with HDMI input, Raspberry main board, NFC reader, camera and GSM module. Second device will have microcontroler ATMEGA644, NFC reader, 2-4 line text display and optional GSM module. Both device will communicate with server via GPRS. Server can change configuration of devices and colecting logs

Diploma thesis deals with home security system using Raspberry Pi as a central microcontroller unit and it´s additional peripherals. Informations are accessible via web server.

The aim of this thesis is to implement autonomous information portal using matrix display BUSE BS210. The first part deals with the theoretical problem-solving and management options display. The second part is dedicated to the development of necessary hardware and the last part is the software described herein microcontroller and microcomputer Raspberry Pi.

Nowadays, the interest in smart appliances, which enable consumption reduction or consumption shifting approach, grows up. Such appliances can react to actual situation in the distributional network. From the energy distributor point of view, the activity of these appliances brings improvement of stability in the distribution network, while for the end customer there is possibility of the saving money. This thesis describes a transformation of standard fridge to smart fridge controlled by microcomputer Raspberry Pi. The smart fridge can communicate with supervisor system and according to its instructions change its behavior (temperature set point). The appliance can be manually controlled by a group of buttons, while its state can be visualized on the alphanumeric display. Last but not least way to control the appliance is through a web interface. The thesis also describes design of printed circuit board (PCB), which is designed for connection of all necessary sensors and actuators to Raspberry Pi. Software equipment is designed in the C++ program language.

The goal of this master's thesis is to design and implement a system for recognition of home appliances based on their power consumption characteristics. This system should identify the individual home appliances from measurements of the total household consumption. The acquired data could be used for statistics of usage of a particular appliance and subsequent detection of errors or non-standard behavior of the measured device. An important part of my work is a design and hardware implementation of a unit for measuring and a system for processing the measured signal. The first version of my project uses pulse output of an electrometer to measure the energy. This method does not provide a sufficient sample rate but it's a quick way to obtain data for processing and analysis. The second version monitors the power consumption with a multi-purpose AC converter which measures active and reactive power with the desired sample rate. The data is then processed and recognized by two classifiers - HMM and KNN.

This master's thesis describes the hardware and software implementation of autonomous control system for RC toy car. This autonomous car had the task to follow a black line drawn on a white background. Car was enriched with wi-fi for data transfer to computers and the black line is detected by the camera. The main control module was implemented using a single board computer Raspberry Pi.

Diploma thesis deals with design and the processing of video captured by Raspberry PI and the possibility of object detection in video. In this thesis is described Raspberry PI as well as video capturing by PiCamera module. There is also section about video processing by OpenCV.

This thesis deals with the design and implementation of autonomous robot with using of the platform ROS. Its goal is to get to know the ROS and use it to implement autonomous control of real robot Leela.