I denna studie skall Java och C# ställas mot varandra och köras på en Raspberry Pi för att se vilken av dem som kan sortera heltalsvektorer snabbast. Som Java-motor kommer Hot-Spot att användas och Mono för C# och de ska sortera vektorer med sorteringsalgoritmer från språkens stödbibliotek och en implementerad algoritm baserad på urvalssortering. Detta arbete är till för att dem som vill arbeta med ett objektorienterat språk på Raspberry Pi, men inte har bestämt sig än för vilket som skall användas. Resultatet visar att Java presterar bättre än C# i de flesta fall och att det finns undantag då C# presterar bättre. / In this study, Java and C# is set against each other and running on a Raspberry Pi to see if they have similar processing times, or if there is a clear difference between the two languages. As Java-engine HotSpot will be used and Mono for C# and they will sort vectors with sorting algorithms from the language's support library and one implemented algorithm based on selection sort. This work is for those who want to work with an object-oriented language on Raspberry Pi, but has not decided yet on which one to choose. The result shows that Java performs better than C# in most cases, but in some cases C# is performing better.

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.

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.

This diploma thesis deals with the research of existing solutions of electronic information systems. The purpose of this survey is to inspire what is offered to users of these professional systems, or what users expect from these systems. Based on the acquired knowledge, the thesis also deals with the design of its own system, which can serve as another alternative to professional solutions of companies on the market, in the sense of the concept of solution of the given task. After the design of the system, the thesis deals chronologically with the selected "tools" used for the actual implementation of the assigned task Electronic Information Boards. Both hardware and software parts of the task, which form the majority of this thesis. At the end of the work are presented practical results.

The increase in connectivity and use of “smart” devices offers companies new possibilities to improve their efficiency by using digitalization. For example, booking of meeting rooms have gone from using a paper calendar to electronic booking. To enable both digital remote booking, as well as being able to book a room directly (as with a paper calendar) this project has developed a room manager system. The room manager is a device that provides a quick and intuitive way for employees to handle conference room booking. The project was started on behalf of the company ÅF, who would like to optimize their use of conference rooms.  The result was a fully functional touchscreen device built using a Raspberry Pi. The room manager integrates successfully with the existing calendar system used at ÅF and meets all the requirements set by ÅF. The device will be used to determine if a room manager system is worth investing in and may be used as a foundation for continued development.

Detta projekt har utförts på uppdrag av Saab Dynamics. Syftet med projektet var att skapa ett system för att ersätta den befintliga utrustning som fanns för att simulera radar vid testning av vissa vapensystem.   Systemet byggdes upp med hjälp av GPRS, GPS och transportprotokollen TCP och UDP. Huvuddelen av arbetet berörde GPS och GPRS.   Denna rapport är en redogörelse för systemets framtagning och de verktyg och metoder som användes, samt en fördjupning i ämnena GPS, GPRS och deras olika protokoll. Rapporten tar även kort upp alternativa lösningar till datasamtal.   Slutsatsen som kan dras utifrån resultatet av detta projekt är att systemet fungerar och kan vara användbart i framtiden efter vidareutveckling. / This project has been carried out on behalf of Saab Dynamics. The purpose of the project was to create a system to replace the existing equipment for simulating radar when testing certain weapon systems.   The system was created using GPRS, GPS and the transport protocols TCP and UDP. GPS and GPRS were used the most.   This report is a description of the system's design and the tools and methods used to create it, as well as an in depth look into the subjects of GPS, GPRS and their various protocols. The report also briefly discusses some alternative solutions that could have been used instead of data calls.   The conclusion that can be drawn from the results of this project is that the system works and can be useful in the future with further development.

Artificial Inteligens and machine learning has started to get established as reco- gnizable terms to the general masses in their daily lives. Applications such as voice recognicion and image recognicion are used widely in mobile phones and autonomous systems such as self-drivning cars. This study examines how one can utilize this technique to classify sound as a complement to videosurveillan- ce in different settings, for example a busstation or other areas that might need monitoring. To be able to do this a technique called Convolution Neural Ne- twork has been used since this is a popular architecture to use when it comes to image classification. In this model every sound has a visual representation in form of a spectogram that showes frequencies over time. One of the main goals of this study has been to be able to apply this technique on so called IOT units to be able to classify sounds in real time, this because of the fact that these units are relativly affordable and requires little resources. A Rasberry Pi was used to run a prototype version using tensorflow & keras as base api ́s. The studys re- sults show which parts that are important to consider to be able to get a good and reliable system, for example which hardware and software that is needed to get started. The results also shows what factors is important to be able to stream live sound and get reliable results, a classification models architecture is very important where different layers and parameters can have a large impact on the end result. / Termer som Artificiell Intelligens och maskininlärning har under de senaste åren börjat etablera sig hos den breda massan och är numera någonting som på- verkar nästan alla människors vardagliga liv i någon form. Vanliga använd- ningsområden är röststyrning och bildigenkänning som bland annat används i mobiltelefoner och autonoma system som självkörande bilar med mera. Den här studien utforskar hur man kan använda sig av denna teknik för att kunna klassi- ficera ljud som ett komplement till videoövervakning i olika miljöer, till exem- pel på en busstation eller andra övervakningsobjekt. För att göra detta har en teknik kallad Convolution Neural Network använts, vilket är en mycket populär arkitektur att använda vid klassificering av bilder. I denna modell har varje ljud fått en visuell representation i form av ett spektogram som visar frekvenser över tid. Ett av huvudmålen med denna studie har varit att kunna applicera denna teknik på så kallade IOT-enheter för att klassificera ljud i realtid. Dessa är rela- tivt billiga och resurssnåla enheter vilket gör dem till ett attraktivt alternativ för detta ändamål. I denna studie används en Raspberry Pi för att köra en prototyp- version med Tensorflow & Keras som grund APIer. Studien visar bland annat på vilka moment och delar som är viktiga att tänka på för att få igång ett smidigt och pålitligt system, till exempel vilken hårdvara och mjukvara som krävs för att starta. Den visar också på vilka faktorer som spelar in för att kunna streama ljud med bra resultat, detta då en klassifikationsmodells arkitektur och upp- byggnad kan ha stor påverkan på slutresultatet.

The master’s thesis describes development of control system for automatic mouth-organ. The process of development is divided into three parts: a concept of control system, design of hardware parts and development of software parts. Controlled device, system requirements and general design of the hardware and software components are described in the concept of control system. The detailed hardware design includes next processes: electronic component selection, printed circuit board design, assembly and debugging. The result of this chapter is electronic system, which function correctly. The aim of the last chapter is to specify and explain development of software parts of control system. Installation of required software and important aspects of control software and user interface development are described in this chapter. The goal of the thesis is to create a control system, which will function correctly and reliably.

This thesis describes the design and subsequent implementation of a unit for traffic monitoring using Raspberry PI. First section provides a quick overview of assistance systems, which use a road lane detection techniques. Next there is a description of two diferent methods for road lane detection. Follow the description of monitoring scene. Then the work describe the practical part including the design and realization of supporting electronics, selecting of each components, including the modifying of cameras, mechanical design and creating of unit. Another section is about selection and installation of appropriate software components necessary for running of the unit and the selection of development tools for creating user application. After description of graphical user interafce, there is a description of road lanes detection algorithm. At the end of the thesis is summarized a reliability of unit in real traffic situation. At the appendix there are technical drawings, describing the unit.

This diploma thesis deals with a design and construction of an embeded camera trap with a video recording and night vision support, which is able to self adapt to surroundings. The device is based on the Raspberry Pi platform and configurable by touch screen control with a user-friendly graphical interface. Also the web-application for easy remote administration was developed in Ruby On Rails framework. The camera trap was built and successfully tested under the real conditions. There are also typical application cases and requirements for camera trap construction described in this thesis.