This work deals with the collection of data from analog sensors, their storage and display using the Raspberry Pi microcomputer. In more detail it deals with selecting the appropriate analog-to-digital converter, selecting the appropriate storage and database server, web server and application to display the measured data.

This work deals with connecting remote devices measure data of various types from physical quantities such as a temperature, a humidity to data displaying CPU or memory usage of the system to the user. The system uses Blockly to controlling logic and dependencies between devices. In the work is used lots of technologies for examples: MQTT, Websockets, GSM, Lightweight Mesh and others. The system is based on microservice which named is Flask. Flask service is an application interface for HTTP services of Python programming language. This can provide measured data by graphs and predefined components for viewing data. For controlling system was used single-board computer Raspberry Pi with a multitouch 7-inch display.

Master thesis deals with concept and realization of wireless measuring system, powered by battery. The system consists of two main parts. First part, the node, is designed for the lowest possible power consumption. This is achieved mainly by usage of microcontroller from the STM32 family. Gathered information is transfered via RFM69 module. Second part, the gateway, is powered by Linux operating system on Raspberry Pi. Data from the gateway proxy are propagated through MQTT into Home Assistant, which interprets the results.

The thesis is about industrial automatic CIP protocol, which belongs to SCADA systems. The first part is focused on basic principles of CIP protocol and on analysis of two protocols (EtherNET/IP and DeviceNet), which are based on CIP protocol. The second part deals with designing scenarios for a simulation. The simulation of one-way communication, two-way communication with help of reads from the console and two-way real time communication between Raspberries PI 3B+. The third part deals with a realization of the simulation, a start-up and a function of predefined scenarios and graphic interface. The fourth part deals with analysis network communication in situations, which occur during a protocol EtherNet/IP simulation.

Thesis is focused on the digital measurement of power consumption and distribution the measured results to the remote monitoring center over computer network. The appli- cation is designed for monitoring of active elements computers network.

This thesis is dedicated to the principles of a MP3 audio format decoding on available develpoment kits powered by ARM processors. It compares kit MCB2300 with LPC2378 microcontroller and kit Raspberry Pi with Debian operation system. The comparsion is focused on their suitability for MP3 decoder implementation. A complete design of support hardware modules, which complement the missing hardware of development kits is described in detail. Thesis includes the realization of an implementation of a MP3 decoder with additional visual effects in a form of an attached RGB LED strip developed on a Raspberry Pi development kit.

This thesis discusses the topic of internet of things and its protocols and compatible devices in the field of home automation. Also defines the requirements for the system which designs in the form of concept and afterward makes practical realization.

Diplomová práca sa zaoberá návrhom embedded dohľadového systému, ktoré je implementované na Raspberry Pi 3 B zariadenie. Uvedený systém obsahuje algoritmy pre detekcie pohybu a detekcie objektov, ktoré sú realizované pomocou OpenCV funkcie. Vyhodnocené informácie sú prístupné na webový server.

Vid institutionen för tillämpad fysik och elektronik, Umeå universitet, bedrivs utbildning och forskning inom bland annat automation och robotik. Syftet med projektet är att skapa en robot där rapporten skall kunna användas för att förenkla framtida utlärningar inom de ämnen projektet tar upp. Projektets mål är att designa, skapa och programmera en saneringsrobotprototyp med hjälp av utvecklingsgränssnittet CODESYS. För att möjliggöra sanering används UVC-ljus. UVC är en kategori inom UV-ljus där endast ett spann av våglängder innefattas, vilka bevisats ha bakteriedödande effekt. Robotens design är ritad i CAD och är måttanpassad utefter den hårdvara som används. Vidare består robotens chassi av två plexiglasplattor som laserskärs med färdiga hålbilder. Chassit sätts ihop med hjälp av sex M6-gängstänger, vilket skapar två plan där komponenter kan skruvas fast i de laserskärda hålbilderna. Roboten använder sig av motorstyrningskort, servomotorer och mecanumhjul där styrning sker med hjälp av två stycken joysticks. Joysticksen i samband med teoretiska rörelseekvationer möjliggör omnidirektionell rörelse. Vidare används ett reläkort för styrning av både UVC-lampor och signallampa. Roboten programmeras i CODESYS som ett ”Function Block Diagram” (FBD) där en mängd nya programbibliotek blir implementerade. Genom användning av CODESYS visualiseringsverktyg skapas ett användargränssnitt som gör att roboten kan fjärrstyras via ett webbgränssnitt. Projektet uppnådde sju av åtta krav från kravspecifikationen vilka validerades via fem uppsatta testscenarion. Resultatet är en robot som kan styras i valfri riktning via WiFi genom exempelvis en smartphone. Reläets olika portar öppnas och stängs genom programmerade funktioner, knappar och en IR-sensor vars uppgift är att avläsa kroppslig värme. Vid fortsatt utveckling av roboten skulle en kamera kopplats in och använts i HMI-gränssnittet, vilket hade möjliggjort telestyrning. Fler styrningsalternativ hade också kunnat implementerats, exempelvis genom att lägga till en knapp som gör att roboten roterar 90 grader. / At the Department of Applied Physics and Electronics, at Umeå University, education and research are conducted in areas such as automation and robotics. The purpose of the project is to create a robot, where the report can be used to assist future learning within the subjects covered by the project. The goals of the project are to design, create and program a decontamination robot prototype using the development interface CODESYS. UVC-light will be used to achieve this sanitation. UVC is a category of UV light which includes a limited range of wavelengths, that have been shown to have bactericidal effect. The robot is designed in CAD using the measurements of the hardware used. Furthermore, the robot's chassis consists of two plexiglass plates that are laser cut according to predetermined hole patterns. The chassis is assembled using six M6 threaded rods. The design constitutes two levels onto which the components can be mounted. The driveline consists of motor control boards, servomotors and mecanum wheels. Two joysticks are used to control the steering of the robot. The joysticks in relation with theoretical equations enables omnidirectional motion. Furthermore, a relay card is used for controlling both UVC and the signal lamp. The robot is programmed in CODESYS as a "Function Block Diagram" (FBD) where several new program libraries are implemented. By using CODESYS’ visualization tool, a user interface is created where the robot can be remotely controlled via a web interface. Seven out of eight requirements were achieved in the project. The achieved requirements were all validated through five test scenarios. Furthermore, the robot can be steered in any direction via Wi-Fi through inter alia a smartphone. The various ports of the relay are controlled by programmed functions and buttons, which can be overridden in the case of body heat being detected by an IR sensor. If the robot were to be further developed, a camera could be connected and used in the HMI, which would have enabled distance remote control. Furthermore, several control options could have been implemented, for example a button that allows the robot to rotate 90 degrees.

Consider a situation where you need to identify each and every person in a room and categorize each of the persons as present or absent. To mark the presence of hundreds of people in a room takes a lot of time, which means you can eventually be left out with less time to explain the main aim of that meeting, class, or some other things. In such cases, either we may need a lot of time for a meeting or we may need more people to accomplish the tasks. In the present world, time is considered equivalent to money. If you lose your time you will lose your money. Many education institutions and offices see this as a very important consideration to maintain their busy schedule.  In this study, we came to know that many institutions and offices are facing the same issue, so as engineers we decided to take this as a challenge and try to find a solution to it. Our main objective of this project is to make a working model, which helps in marking the attendances of the person automatically and saves precious time. We can say that human effort is simply replaced by our end product which helps the person to spend more time efficiently.  To replace the human effort with an easy and cost-efficient system that has accurate results, we are using a Raspberry Pi 4 Model B as a microcontroller and along with it, we are using a Raspberry Pi camera module to capture the image of the person. To control and give the commands to the microcontroller, we are using MATLAB as a programming language that interprets the commands given by the user.   Using this Raspberry Pi system with a camera module attached to the Raspberry Pi, We can capture the image of the person who comes in front of the camera. Once the person images are captured, the microcontroller starts running the program which can predict the face of a person from the pre-trained database that we have previously stored in the system. Once the prediction is done, the face of the person is automatically marked as present in an excel sheet under the predicted name.  We are concluding that by using the automated attendance system one can avoid the manual marking of persons and save time. For further future works, one can use a good resolution camera module to capture the images clearly and can use the python coding method to access face recognition. We can also develop a mobile application, that can access the camera present in the smartphone which can be used to capture the images and mark the attendances automatically.