National Repository of Grey Literature 6 records found  Search took 0.00 seconds. 
Distributed Control System with Dynamically Evolvable Nodes on RPi Zero Platform
Szymik, Michal ; Kočí, Radek (referee) ; Janoušek, Vladimír (advisor)
This work focuses on the development of a distributed control system that runs on multiple Raspberry Pi Zero devices and enables dynamic reconfiguration of its topology. The platform is implemented in Python in the form of a runtime environment. This work also describes how to develop applications for this system and introduces a script that facilitates the installation of an application onto the system nodes. The system described works and a sample application demonstrates its functionality.
Autonomous vehicle for traffic situation model
Schneiderka, Dominik ; Boštík, Ondřej (referee) ; Janáková, Ilona (advisor)
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.
Multisensor Module for Raspberry Pi Zero
Kažimír, Miroslav ; Rozman, Jaroslav (referee) ; Janoušek, Vladimír (advisor)
This work deals with the issue of distributed control systems in home automation. It focuses on open systems and the possibilities of expanding them with new devices with sufficiently universal use. The solution lies in the design of multi-sensor devices that would cover several functions required by such systems. This work includes the creation of a room monitor in the form of an add-on module for the Raspberry Pi Zero computer and a modular wall switch using the ESP32 platform. The benefits of this work are new open devices with the potential for further expansion with additional modules.
Multisensor Module for Raspberry Pi Zero
Kažimír, Miroslav ; Rozman, Jaroslav (referee) ; Janoušek, Vladimír (advisor)
This work deals with the issue of distributed control systems in home automation. It focuses on open systems and the possibilities of expanding them with new devices with sufficiently universal use. The solution lies in the design of multi-sensor devices that would cover several functions required by such systems. This work includes the creation of a room monitor in the form of an add-on module for the Raspberry Pi Zero computer and a modular wall switch using the ESP32 platform. The benefits of this work are new open devices with the potential for further expansion with additional modules.
Distributed Control System with Dynamically Evolvable Nodes on RPi Zero Platform
Szymik, Michal ; Kočí, Radek (referee) ; Janoušek, Vladimír (advisor)
This work focuses on the development of a distributed control system that runs on multiple Raspberry Pi Zero devices and enables dynamic reconfiguration of its topology. The platform is implemented in Python in the form of a runtime environment. This work also describes how to develop applications for this system and introduces a script that facilitates the installation of an application onto the system nodes. The system described works and a sample application demonstrates its functionality.
Autonomous vehicle for traffic situation model
Schneiderka, Dominik ; Boštík, Ondřej (referee) ; Janáková, Ilona (advisor)
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.

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