|
|
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.
|
|
|
Exploiting Wireless Communications for Localization: Beyond Fingerprinting
Bravenec, Tomáš ; Sanchez, Maria Cristina Rodriguez (referee) ; Crivello, Antonino (referee) ; Moreira, Adriano (referee) ; Orti, Enrique Quintana (referee) ; Oliver, Sergi Trilles (referee) ; Frýza, Tomáš (advisor)
The field of Location-based Services (LBS) has experienced significant growth over the past decade, driven by increasing interest in fitness tracking, robotics, and eHealth. This dissertation focuses on evaluating privacy measures in Indoor Positioning Systems (IPS), particularly in the context of ubiquitous Wi-Fi networks. It addresses non-cooperative user tracking through the exploitation of unencrypted Wi-Fi management frames, which contain enough information for device fingerprinting despite MAC address randomization. The research also explores an algorithm to estimate room occupancy based on passive Wi-Fi frame sniffing and Received Signal Strength Indicator (RSSI) measurements. Such room occupancy detection has implications for energy regulations in smart buildings. Furthermore, the thesis investigates methods to reduce computational requirements of machine learning and positioning algorithms through optimizing neural networks and employing interpolation techniques for IPS based on RSSI fingerprinting. The work contributes datasets, analysis scripts, and firmware to improve reproducibility and supports advancements in the LBS field.
|
|
|
Detection of Subjects Presence in Protected Area
Múdry, Adam ; Vašíček, Zdeněk (referee) ; Šimek, Václav (advisor)
The aim of this thesis was to design and implement a system for detecting the presence of the subject in the protected area using the embedded platform ESP32. The proposed system is able to use several different sensors, allowing the detection of motion, sound, allowing to take photos, etc. The solution was also implemented with the help of the Raspberry Pi platform as a control server and optionally uses cloud services for greater deployment flexibility.
|
|
|
Detection of Subjects Presence in Protected Area
Múdry, Adam ; Vašíček, Zdeněk (referee) ; Šimek, Václav (advisor)
The aim of this thesis was to design and implement a system for detecting the presence of the subject in the protected area using the embedded platform ESP32. The proposed system is able to use several different sensors, allowing the detection of motion, sound, allowing to take photos, etc. The solution was also implemented with the help of the Raspberry Pi platform as a control server and optionally uses cloud services for greater deployment flexibility.
|
|
|
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.
|
|
| |
guest ::
