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Material position tracking in production hall
Sládeček, Michal ; Otáhal, Alexandr (referee) ; Hejátková, Edita (advisor)
This diploma thesis describes implementation of an indoor positioning system for tracking the location and movement of material and products through the manufacturing plant. The system is designed with regards to simple installation and low overall implementation costs. It utilizes method of Wi-Fi and magnetic field fingerprinting. The system employs a client hardware (active tag with Wi-Fi module and sensors designed for this project) communicating with a server software which does the mapping and fingerprinting processing. Finall positioning system is prepared to collect locations data for further analysis aiming to improve efficiency of manufacturing processes.
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Room Occupancy Detection with IoT Sensors
Kolarčík, Tomáš ; Jeřábek, Kamil (referee) ; Pluskal, Jan (advisor)
The aim of this work was to create a module for home automation tools Home Assistant. The module is able to determine which room is inhabited and estimate more accurate position of people inside the room. Known GPS location cannot be used for this purpose because it is inaccurate inside buildings and therefore one of the indoor location techniques needs to be used. Solution based on Bluetooth Low Energy wireless technology was chosen. The localization technique is the fingerprinting method, which is based on estimating the position according to the signal strength at any point in space, which are compared with a database of these points using machine learning. The system can be supplemented with motion sensors that ensure a quick response when entering the room. This system can be deployed within a house, apartment or small to medium-sized company to determine the position of people in the building and can serve as a very powerful element of home automation.
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Intelligent Presence Detection
Kronika, Vojtěch ; Smrčka, Aleš (referee) ; Janoušek, Vladimír (advisor)
In this work I dealt with the solution of indoor localization, its design and implementation. We are at a time when the topic of smart home is a daily affair and the solution for indoor localization does not have a certain winner yet. The goal of this work is to create an intelligent presence detector, using Bluetooth technology, which recognizes in which room the device is located. And it estimates in which part of the room the device can be located. To achieve the goal, I use at least three sensors in each room and compare the signal strengths between the sensors and the localized device. A Kalman filter is used for a noise reduction on data signals from sensors. The result of the work is a functional solution for indoor localization. I have found that it is not easy to use rapidly changing signal strength within triangulation to obtain the exact position of the device. Further work could address what needs to be done to make triangulation possible and functional. One of possible directions is an exploration of Bluetooth Direction Finding technology.
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Device localization using BLE packets
Tsevelnyam, Amgalanbayar ; Číž, Radim (referee) ; Sysel, Petr (advisor)
Master’s thesis is about indoor localization of objects or persons using Bluetooth Low Energy. The outcome of this work is determining the accuracy of a localization method One Nearest Zone on density of the localization network, implementing the Trilateration method and also determining the accuracy of this localization method on density of the localization network.
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Infrastructure for Testing and Deployment of the Real-Time Localization Platform
Ormoš, Michal ; Pluskal, Jan (referee) ; Veselý, Vladimír (advisor)
Táto práca je prípadovou štúdiou postupného vývoja a nasadzovania lokačného softwaru v reálnom čase. Cieľom tejto práce je zrýchliť tento proces. Zvolený problém bol vyriešený s konvenčnými testovacími nastrojmi, vlastným nástrojom pre generovanie sieťovej prevádzky lokalizačnej platformy a nástrojmi CI/CD Gitlab. Prínosom tejto práce je zrýchlenie vývoja, zaručenie kvality vyvijaného softwaru a predstavenie spôsobu ako platformu pre lokalizáciu v reálnom čase testovať.
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LoRa-based indoor localization
Šimka, Marek ; Staněk, Miroslav (referee) ; Polák, Ladislav (advisor)
This diploma thesis focuses on possible utilization of LoRa (Long Range) technology for indoor localization purposes. In this thesis, the starter kit SK-iM282A is used to create a LoRa-based wireless link in the 2.4 GHz ISM band. Main attention is focused on the experimental localization using the RSSI method in the various transmission environments, including a description of the localization principle, the procedure of processing the measured data and the evaluation of localized coordinates. The rightness of the proposed measurement setup and methodology is verified by extensive measurements in various environments and compared with state-of-the-art article.
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Intelligent Presence Detection
Kronika, Vojtěch ; Smrčka, Aleš (referee) ; Janoušek, Vladimír (advisor)
In this work I dealt with the solution of indoor localization, its design and implementation. We are at a time when the topic of smart home is a daily affair and the solution for indoor localization does not have a certain winner yet. The goal of this work is to create an intelligent presence detector, using Bluetooth technology, which recognizes in which room the device is located. And it estimates in which part of the room the device can be located. To achieve the goal, I use at least three sensors in each room and compare the signal strengths between the sensors and the localized device. A Kalman filter is used for a noise reduction on data signals from sensors. The result of the work is a functional solution for indoor localization. I have found that it is not easy to use rapidly changing signal strength within triangulation to obtain the exact position of the device. Further work could address what needs to be done to make triangulation possible and functional. One of possible directions is an exploration of Bluetooth Direction Finding technology.
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Room Occupancy Detection with IoT Sensors
Kolarčík, Tomáš ; Jeřábek, Kamil (referee) ; Pluskal, Jan (advisor)
The aim of this work was to create a module for home automation tools Home Assistant. The module is able to determine which room is inhabited and estimate more accurate position of people inside the room. Known GPS location cannot be used for this purpose because it is inaccurate inside buildings and therefore one of the indoor location techniques needs to be used. Solution based on Bluetooth Low Energy wireless technology was chosen. The localization technique is the fingerprinting method, which is based on estimating the position according to the signal strength at any point in space, which are compared with a database of these points using machine learning. The system can be supplemented with motion sensors that ensure a quick response when entering the room. This system can be deployed within a house, apartment or small to medium-sized company to determine the position of people in the building and can serve as a very powerful element of home automation.
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Lora-Based Indoor Localization
Šimka, Marek
This paper focuses on possible utilization of LoRa (Long Range) technology for indoorlocalization purposes. The SK-iM282A starter kit is used to create a LoRa-based wireless link in the2.4 GHz ISM band. The rightness of the proposed measurement setup and methodology is verifiedand compared with a state-of-the-art concept. Preliminary results show that the accuracy of LoRabasedindoor localization is highly depending on the used LoRa signal configuration.
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LoRa-based indoor localization
Šimka, Marek ; Staněk, Miroslav (referee) ; Polák, Ladislav (advisor)
This diploma thesis focuses on possible utilization of LoRa (Long Range) technology for indoor localization purposes. In this thesis, the starter kit SK-iM282A is used to create a LoRa-based wireless link in the 2.4 GHz ISM band. Main attention is focused on the experimental localization using the RSSI method in the various transmission environments, including a description of the localization principle, the procedure of processing the measured data and the evaluation of localized coordinates. The rightness of the proposed measurement setup and methodology is verified by extensive measurements in various environments and compared with state-of-the-art article.
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