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Family house automation system
Heczko, Dominik ; Cejpek, Zdeněk (referee) ; Dosoudilová, Monika (advisor)
The thesis deals with the automation of a family house. After an introduction to different automation options, a system based on an open-source project Home Assistant is proposed. Commercially available devices are connected to this system to provide control of appropriate functions. For each device, the configuration procedure is described. Furthermore, a prototype of a smart lighting controller and a smart thermometer is designed and built.
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Health assessment using smart devices
Vargová, Enikö ; Filipenská, Marina (referee) ; Němcová, Andrea (advisor)
This thesis deals with the possibilities of non-invasive determination of blood glucose from photoplethysmographic signals. Elevated blood sugar is often associated with disease called diabetes mellitus. Diabetes is one of the world’s major chronic diseases. Untreated diabetes is often a cause of death. The aim of the work is to propose methods for glycemic classification and prediction. Two datasets have been created by recording the PPG signals using two smart devices (a smart wristband and a smartphone), along with their blood glucose levels measured in an invasive way. The PPG signals were preprocessed, and suitable features were extracted from them. Various machine-learning models for glycemic classification and prediction were created.
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Web Visualization of Smart Devices Data in IoT
John, Petr ; Burget, Radek (referee) ; Hynek, Jiří (advisor)
Due to the constant growth in the count of smart devices the need to store, aggregate and process the data effectively rises. The gathered data needs to be displayed effectively to the user, who will be able to react to the current state of the monitored device. This master's thesis deals with storing the data and displaying them using dashboards. The goal of this thesis was the creation of a library composed of components intended for data visualization and a simple API application, that can store and query the data effectively. The library is introduced in a simple application that uses the API application. Some parts of this solution are currently used in the company Logimic, where the costs of the database system reduced to 15 % of the average cost of the previous database system in the last 2 months. The rest of the solution is currently being integrated into the existing systems of the company.
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Processing and Storing of IoT Data with Focus on LoRA Sensor Networks
Moravčík, Tomáš ; Burget, Radek (referee) ; Hynek, Jiří (advisor)
This Bachelor's thesis deals with developing a web application designed to add LoRa devices to the LoRaWAN network. The application meets the requirements of progressive web applications, which allow the application to be portable and yet to behave like a native application. Devices are added to The Thing Stack cloud platform, which serves as the LoRaWAN network server. The application was developed in TypeScript in the Angular environment. This work aims to increase the efficiency and speed of registering devices to the network and reduce the difficulty of the process. Work was accomplished in cooperation with the company Logimic.
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Smart Home Gateway
Bláha, Jakub
The Home Assistant software is a great open-source way of building an automatizedsmart home solution. It allows to connect smart devices of different manufacturers using the Zigbeeprotocol. Home Assistant can be installed on a Raspberry Pi which makes it a cheap solution. Itprovides a comfortable user interface and plenty of add-ons, which further extend its capabilities.
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From a Dumb Boiler to a Smart One Using a Smart Socket
Mitura, Jacek ; Zemčík, Pavel (referee) ; Materna, Zdeněk (advisor)
Nowadays, the world of smart devices is growing very fast. Nevertheless, it remains difficult to acquire smart device for water heating applications. The usual reasons complicating this fact include the lack of the possibility of connection to the central control unit, or the need to replace the entire boiler with a new smart model. In both cases, the additional disadvantage is the higher price of such a solution. Therefore, the aim of this bachelor's thesis is to create a comprehensive and affordable solution, ensuring the conversion of an existing boiler to smart using a smart socket and a central server controlling the household. The solution uses a daily consumption forecast based on an exponential moving average to save electricity.
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Smart Home Solution Based on ESP Modules and Raspberry Pi
Bartoš, Martin ; Smrčka, Aleš (referee) ; Janoušek, Vladimír (advisor)
Nowadays, the world of smart devices in households is growing significantly, where the devices communicate with each other and make people's lives easier. However, a major problem with the purchase of these devices to common households is the high price and compatibility of those products from one vendor. The goal of this bachelor thesis is to create a comprehensive low-cost smart home solution that the user will be able to manage without much effort. This solution is implemented by the latest technologies and tools.
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Processing Sensor Data from a Wearable Device by Machine Learning
Hlavačka, Martin ; Dobeš, Petr (referee) ; Herout, Adam (advisor)
The goal of this master's thesis is to analyze the situation of wearable devices with the Android Wear operating system and recognition capabilities of various movement activities using neural networks. The primary focus is therefore on identifying and describing the most appropriate tool for recognizing dynamic movements using machine learning methods based on data obtained from this type of devices. The practical part of the thesis then comments on the implementation of a stand-alone Android Wear application capable of recording and formatting data from sensors, training the neural network in a designed external desktop tool, and then reusing trained neural network for motion recognition directly on the device.
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Implementation of Google Home voice assistant
Matula, Vladimír ; Štůsek, Martin (referee) ; Zeman, Kryštof (advisor)
The main goal of this bachelor thesis was to investigate the smart devices field together with technologies linked to it. Further, it describes the implementation of Google Assistant to Raspberry Pi 3 and options of controlling it via the Dialogflow platform. The thesis provides hands-on experience and is structured into two parts. The first, theoretical section focuses on Internet of Things and Device to Device communication. It also describes currently available smart home assistants and their functionalities. The thesis also describes the Dialogflow platform together with it's functionalities and options of it's use. The practical part of this thesis describes implementation of the Google Assistant in Raspberry Pi 3, development and integration of application created for it and the creation of home weather station.
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Study of Using Wearable Devices
Hlavačka, Martin ; Dalecký, Štěpán (referee) ; Samek, Jan (advisor)
In recent years, the amount of wearables and level of their interaction with users is constantly increasing and deepening. This fact is followed by this thesis, in which I aimed on creating a overview study of best known and available devices on the market. In subsequent chapters the various options available for developing applications for these devices are analyzed. Based on the acquired knowledge content also contains development of demonstration app for the selected smartwatch Motorola Moto 360 sport. Created overview and analysis of development options provide knowledge for orientating and information required either for selection of wearable device or software development for it.
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