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Automation of the farming system
Šimek, Martin ; Jirgl, Miroslav (referee) ; Arm, Jakub (advisor)
This thesis deals with the issue of the Internet of Things and its use in the automation of gardening areas. The processes that are necessary to maintain the operation of gardening facilities are both physically demanding and time consuming. The aim of this thesis will be to design a system that will reduce the need for human intervention in performing these processes. The main prerequisites of the proposed system include the modularity of the whole concept. The automation of the gardening areas focuses mainly on the irrigation system, which will be controlled by the designed wireless modules. These are STEM-01 modules which have the task of measuring soil volumetric water content, soil electrical conductivity, soil temperature and ambient temperature and relative humidity in the area, BVM-01 modules which provide irrigation in the required area and last but not least FDM-01 modules with which it will be possible to enrich the water located in the drip pipe and used to irrigate the mentioned areas with mineral fertilizers.
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Human Mo-cap System Based on Inertial Measurement Units
Grzybowská, Martina ; Semerád, Lukáš (referee) ; Drahanský, Martin (advisor)
Cieľom tejto práce je navrhnúť, zhotoviť a implementovať vlastný systém pre zachytávanie pohybu založený na inerciálnych meracích jednotkách. V rámci budovania teoretického základu bolo preskúmaných viacero metód, avšak primárne bola pozornosť venovaná samotnému inerciálnemu snímanu - jeho kladom a nedostatkom, kľúčovým vlastnostiam a jednotlivým komponentom potrebným pre zostrojenie systému na jeho báze. Tento úvodný zber informácií je nasledovaný fázami návrhu, zhotovenia a zhodnotenia, ktoré sa zaoberajú procesom vývoja a testovania daného riešenia. Hlavným prínosom realizácie systému je zostrojenie zariadení pre snímanie pohybu - jedná sa o malé, ľahké, batériovo napájané zariadenia, ktoré sú kompletne bezdrôtové, či už z hľadiska komunikácie s okolitým svetom, alebo vďaka napájaniu kompatibilnému so štandardom Qi.
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Intelligent beekeeping system
Hrubý, Jan ; Zeman, Václav (referee) ; Kiac, Martin (advisor)
The aim of this thesis is to design and develop an intelligent beekeeping system that can measure the frequency in the colony, the weight of the hive to monitor the loss or to inform the beekeeper if the bees are carrying honey. Furthermore, the security of the hive against theft is also being considered. Communication between multiple intelligent beekeeping systems is important for the functionality. This is why part of the work focuses on choosing the best possible communication, taking into consideration battery consumption and reliability. In this work, a many-to-one communication system of modules is used, which means that the number of hives can be freely expanded without affecting the functionality of the system. The resulting system is powered by a combination of battery and solar panels.
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System for Remote Monitoring and Management of Garden Pools
Šťastný, Marek ; Jaroš, Jiří (referee) ; Šimek, Václav (advisor)
This thesis deals with the design and subsequent implementation of a wireless system for automatic monitoring and control of a garden pool. In this work, the reader is first introduced to basic water quality measurements. Next, the analysis of wireless technologies and communication protocols is analyzed in this thesis. Based on the knowledge gained, the design and subsequent implementation of the system modules and the web application that controls the system has been carried out. The thesis concludes with a description of how the modules were tested and the functionality of the whole system was verified.
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Exploitation of Machine Learning for Identification of Feeder Rod Movement
Vele, Patrik ; Vašíček, Zdeněk (referee) ; Šimek, Václav (advisor)
The aim of this diploma thesis is to create a device that uses machine learning methods to recognize the movements of a feeder fishing rod based on data from an inertial measurement unit. The introductory part is devoted to the feeder fishing technique, the selection of important movements and the possibilities of attaching the detection device to the rod. This is followed by the creation of a theoretical basis in the field of machine learning, familiarization with the inertial measurement unit and the issue of classification. The acquired knowledge is used to select appropriate techniques for solving the task of recognizing the movements of the rod. In the practical part, a detection device based on the ESP32 platform is designed and created. This is initially used as a motion sensor, which, in combination with the processing of the measured values, serves as a generator of a training data set. The work continues with the implementation of the convolutional neural network, the learning process on the created dataset and the integration of the most successful model into the detection device. The conclusion is devoted to testing in practice, evaluation and possibilities of future development. The result is a small, battery-powered device that, when attached to any feeder rod, provides highly successful detection of all key movements during the hunt. In addition, thanks to wireless communication via ESP-NOW, it is possible to send the results to various devices.
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Power Efficient Smart Home IoT Network and Sensors
Chmelařová, Gabriela ; Letavay, Viliam (referee) ; Pluskal, Jan (advisor)
This thesis deals with finding a suitable solution for the construction of energy saving IoT sensors for home network. The solution deals with design and construction of devices operated on batteries in order to ensure their long-term service. The text includes an overview of technologies enabling implementation of power efficient sensors. Furthermore, the thesis describes the design and construction of energy-saving devices and topologies. The last part deals with sensor optimization for energy saving, overview of measured values and comparison of achieved results.
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Exploitation of Machine Learning for Identification of Feeder Rod Movement
Vele, Patrik ; Vašíček, Zdeněk (referee) ; Šimek, Václav (advisor)
The aim of this diploma thesis is to create a device that uses machine learning methods to recognize the movements of a feeder fishing rod based on data from an inertial measurement unit. The introductory part is devoted to the feeder fishing technique, the selection of important movements and the possibilities of attaching the detection device to the rod. This is followed by the creation of a theoretical basis in the field of machine learning, familiarization with the inertial measurement unit and the issue of classification. The acquired knowledge is used to select appropriate techniques for solving the task of recognizing the movements of the rod. In the practical part, a detection device based on the ESP32 platform is designed and created. This is initially used as a motion sensor, which, in combination with the processing of the measured values, serves as a generator of a training data set. The work continues with the implementation of the convolutional neural network, the learning process on the created dataset and the integration of the most successful model into the detection device. The conclusion is devoted to testing in practice, evaluation and possibilities of future development. The result is a small, battery-powered device that, when attached to any feeder rod, provides highly successful detection of all key movements during the hunt. In addition, thanks to wireless communication via ESP-NOW, it is possible to send the results to various devices.
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System for Remote Monitoring and Management of Garden Pools
Šťastný, Marek ; Jaroš, Jiří (referee) ; Šimek, Václav (advisor)
This thesis deals with the design and subsequent implementation of a wireless system for automatic monitoring and control of a garden pool. In this work, the reader is first introduced to basic water quality measurements. Next, the analysis of wireless technologies and communication protocols is analyzed in this thesis. Based on the knowledge gained, the design and subsequent implementation of the system modules and the web application that controls the system has been carried out. The thesis concludes with a description of how the modules were tested and the functionality of the whole system was verified.
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Intelligent beekeeping system
Hrubý, Jan ; Zeman, Václav (referee) ; Kiac, Martin (advisor)
The aim of this thesis is to design and develop an intelligent beekeeping system that can measure the frequency in the colony, the weight of the hive to monitor the loss or to inform the beekeeper if the bees are carrying honey. Furthermore, the security of the hive against theft is also being considered. Communication between multiple intelligent beekeeping systems is important for the functionality. This is why part of the work focuses on choosing the best possible communication, taking into consideration battery consumption and reliability. In this work, a many-to-one communication system of modules is used, which means that the number of hives can be freely expanded without affecting the functionality of the system. The resulting system is powered by a combination of battery and solar panels.
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Automation of the farming system
Šimek, Martin ; Jirgl, Miroslav (referee) ; Arm, Jakub (advisor)
This thesis deals with the issue of the Internet of Things and its use in the automation of gardening areas. The processes that are necessary to maintain the operation of gardening facilities are both physically demanding and time consuming. The aim of this thesis will be to design a system that will reduce the need for human intervention in performing these processes. The main prerequisites of the proposed system include the modularity of the whole concept. The automation of the gardening areas focuses mainly on the irrigation system, which will be controlled by the designed wireless modules. These are STEM-01 modules which have the task of measuring soil volumetric water content, soil electrical conductivity, soil temperature and ambient temperature and relative humidity in the area, BVM-01 modules which provide irrigation in the required area and last but not least FDM-01 modules with which it will be possible to enrich the water located in the drip pipe and used to irrigate the mentioned areas with mineral fertilizers.
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