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Security Analysis of Selected SOHO Router
Richtarik, Jakub ; Holop, Patrik (oponent) ; Tamaškovič, Marek (vedoucí práce)
Due to the increasing number of employees working from home office and the increasing number of IoT devices in our households, it is more important to use sufficiently secure routers than ever before. The aim of this study is to examine the level of security of the selected SOHO (small office/home office) routers, as representatives of currently sold home routers. The thesis also demonstrates a workflow and some methods that can be used for testing and analysis of other routers and IoT devices.
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Securing IoT applications with Arm Cortex-M33 microcontrollers
Tonka, Marek ; Zeman, Václav (oponent) ; Slavíček, Karel (vedoucí práce)
The bachelor thesis analyses the characteristics of modern microcontrollers with ARM Cortex-M33 architecture and their contribution to securing IoT applications. The theoretical part focuses on the introduction of ARM along with the characteristic of the ARMv8 architecture on which the Cortex-M33 processors are built. Emphasis is also placed on the introduction of the new TrustZone technology, which is a key security feature of these processors. Subsequently, a selection of microcontrollers and their features from five leading semiconductor companies is presented. The practical part covers the installation and setup of the two IDEs for the following work with the NUCLEO-575-ZI-Q and LPC55S69-EVK boards. Based on these development boards, four unique features are tested to demonstrate the benefits of using ARM processors to secure IoT applications.
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Implementing gesture recognition on ARM as an alternative to traditional device control
Gajdošík, Richard ; Zbořil, František (oponent) ; Kočí, Radek (vedoucí práce)
This bachelor's thesis focuses on the development and implementation of a gesture recognition system on ARM architecture, utilizing the i.MX 93 board and TensorFlow Lite. The project is grounded in the application of neural networks for the recognition of hand gestures, offering an alternative to traditional device control methods. An integral part of the work involves a comprehensive analysis of existing gesture recognition solutions, identifying their strengths and potential improvements. The thesis elaborates on the design, development, and optimization of a real-time gesture recognition model specifically for ARM chips, emphasizing efficiency and performance. Additionally, the thesis covers the creation of a demonstrative application that visually represents recognized gestures. User testing is conducted to evaluate the practicality and user experience of the gesture recognition system, providing valuable feedback for future enhancements.
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Design and implementation of display sniffer on embedded targets
Lipták, Samuel ; Šnajder, Jan (oponent) ; Krejsa, Jiří (vedoucí práce)
This thesis deals with the verification of the functionality of the graphical interface in embedded systems. Current approaches using camera systems for optical inspection are characterised by a lack of reliability, high cost, maintenance difficulties and spatial challenges. The aim of this work is to analyse and propose a new approach to graphical data acquisition, based on a reliable technology. The specific solution uses FPGA (Field-Programmable Gate Array) technology and the whole system is implemented on the PYNQ development platform. This platform also includes a server with an API, which allows easier access to the acquired data. The result of this work is a new verification method of the graphical interface of embedded systems, which will meet the required reliability and efficiency criteria. Such an approach may find application in industry and contribute to improving the quality and efficiency of quality control of embedded systems.
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Embedded Wireless Monitoring and Control of Photovoltaic System
Kovács, Attila ; Lojda, Jakub (oponent) ; Strnadel, Josef (vedoucí práce)
The renewable energy sources market is a highly competitive market. For household use photovoltaic systems have the highest adoption rate. Even with its high adoption rate the general adopter doesn't really understand it and leaves some things to the company which does the installation. This bachelor thesis first introduces the reader to the various components a photovoltaic system consists of. Later the creation of a prototype is described. This prototype is a universal solution for monitoring and controlling the output of any photovoltaic system. This is accomplished by measuring the power output of each photovoltaic panel with this data it is possible to diagnose a faulty panel and by comparing the complete output of the photovoltaic panels with the inverter's output a failing inverter can also be early detected. For accessing the data a simple web application was created. The current prototype is able to measure the power going through it, It's able to toggle the output power. The final part of the thesis describes the current prototypes shortcomings and possible ways on how to mitigate them it also mentions problems which arose during the creation of the prototype and how they were solved.
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Deep Learning Algorithms on Embedded Devices
Hadzima, Jaroslav ; Boštík, Ondřej (oponent) ; Horák, Karel (vedoucí práce)
This paper describes currently widely used Deep Learning architectures and methods for object detection and classification in video, with intention of using them on embedded systems. We will cover steps and reasoning when choosing the most appropriate embedded hardware for our application. Our test application consists of vehicle detection and free parking space detection using Deep learning methods, all wrapped under name Smart car park. This application provides monitoring of vehicle presence in car park and if they occupy parking spot or not. All this is expected to be done using embedded device. Later, there will be covered configuration steps for our embedded device with emphasis on hardware optimization for speed. We will provide comparison of available inference models, which will be rated mostly in categories like speed or F1 score, which have the biggest impact in our application. The best candidate will be selected and used for testing of our application.
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System for Autonomous Data Collection from Weighting Sensors
Lučanský, Adam ; Strnadel, Josef (oponent) ; Šimek, Václav (vedoucí práce)
Thesis implements a system for the remote weight measurements of the beehives. Bus-unit board (STM32F0) samples two load cells (HX711 converter) and exposes data to the CAN bus. All units are chained through telephone cable, with a master unit (Raspberry Pi 3) with CAN shield at one end collecting and sending data to the web-server. Wireless data transmission is provided by integrated WiFi. System is battery-powered and charged by a solar panel large enough to accommodate continuous operation. Data are shown to the user in web-interface. Autonomous electronic weight measurement replaces current tedious manual mechanical scale reading and the need to visit beehives personally. System is installed on beehives for a local beekeeper.
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Systém pro určování nadzemní výšky letajících objektů
Boba, Peter ; Mičulka, Lukáš (oponent) ; Strnadel, Josef (vedoucí práce)
Táto diplomová práca sa zaoberá dizajnom a vývojom systému pre meranie výšky (nad zemou) lietajúcich objektov. Popisuje teoretické podklady týkajúce sa merania výšky v aviatike ako aj rôzne techniky merania výšky. Meranie je vykonávané pomocou HMD (zariadenia na meranie výšky) - vstavaného systému, ktorý využíva senzor barometrického tlaku na meranie výšky. Hlavná časť tejto diplomovej práce je venovaná pozemnej jednotke - serveru, ktorý obsahuje sadu aplikácií. Použitím tohto serveru a rádiového spojenia je možné zasielať riadiace príkazy do HMD, prijímať dáta a zasielať dáta do webovej aplikácie. Server ďalej funguje ako dátové úložisko, je schopný spracovávať a analyzovať dáta. Táto práca taktiež diskutuje presnosť merania a dátový výstup. Systém bol testovaný a používaný na viacerých akrobatických súťažiach bezmotorových klzákov.
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Detekce přítomnosti subjektů ve střeženém prostoru
Múdry, Adam ; Vašíček, Zdeněk (oponent) ; Šimek, Václav (vedoucí práce)
Cieľom tejto diplomovej práce bolo navrhnúť a implementovať systém slúžiaci na detekciu prítomnosti subjektu v stráženom priestore pomocou vstavanej platformy ESP32. Navrhnutý systém je schopný využívať viacero rôznych senzorov, umožňujúcich detekciu pohybu, zvuku, snímanie fotografii a podobne. Riešenie práce bolo realizované taktiež s pomocou platformy Raspberry Pi ako ovládacieho serveru a voliteľne využíva aj cloudové služby pre väčšiu flexibilitu nasadenia.
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Detekce přítomnosti subjektů ve střeženém prostoru
Múdry, Adam ; Vašíček, Zdeněk (oponent) ; Šimek, Václav (vedoucí práce)
Cieľom tejto diplomovej práce bolo navrhnúť a implementovať systém slúžiaci na detekciu prítomnosti subjektu v stráženom priestore pomocou vstavanej platformy ESP32. Navrhnutý systém je schopný využívať viacero rôznych senzorov, umožňujúcich detekciu pohybu, zvuku, snímanie fotografii a podobne. Riešenie práce bolo realizované taktiež s pomocou platformy Raspberry Pi ako ovládacieho serveru a voliteľne využíva aj cloudové služby pre väčšiu flexibilitu nasadenia.
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