Thesis Details

Detekce přítomnosti osob v místnosti

Bachelor's Thesis Student: Průdek David Academic Year: 2018/2019 Supervisor: Pluskal Jan, Ing., Ph.D.
English title
Room Presence Detection in the Smart Home
Language
Czech
Abstract

The purpose of this thesis is to design and implement presence detection sensor which works with home automation. I focused on sensor implementation which needs for activity only available wearable electronics. Sensor placed in room can detect other devices and based on signal intensity it determines his location. For this case I chose Bletooth LE which is used to be implemented in the most of wearable electronics and recently new utilization of BLE was found for indoor navigation. Using this sensor for automation is ensured by system Home Assistant. Main benefit of this project is simply and cheap extend home automation capabilities for person detection in rooms, not only detection in large areas which offers GPS and Wi-Fi systems.

Keywords

Person detection, Bluetooth, PIR, Embedded system, ESP32, IoT, Home automation platforms, Home Assistant

Department
Department of Information Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade C
Date
12 June 2019
Reviewer
Letavay Viliam, Ing.
Committee
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT), předseda
Fuchs Petr, RNDr., Ph.D. (DMAT FEEC BUT), člen
Hradiš Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Křena Bohuslav, Ing., Ph.D. (DITS FIT BUT), člen
Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Citation
PRŮDEK, David. Detekce přítomnosti osob v místnosti. Brno, 2019. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-12. Supervised by Pluskal Jan. Available from: https://www.fit.vut.cz/study/thesis/21585/
BibTeX 
@bachelorsthesis{FITBT21585,
    author = "David Pr\r{u}dek",
    type = "Bachelor's thesis",
    title = "Detekce p\v{r}\'{i}tomnosti osob v m\'{i}stnosti",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/21585/"
}

Theses

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