Thesis Details

Counting People Using a PIR Sensor

Bachelor's Thesis Student: Beneš Martin Academic Year: 2018/2019 Supervisor: Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D.
Czech title
Counting People Using a PIR Sensor
Language
English
Abstract

PIR (passive infrared) sensors are mainly used to detect a presence of a person and notifying a system to react appropriately. The aim of this thesis is to use the PIR sensors to localize the person and present approach to estimate a count of people. To do so, the thesis suggests a heat signal processing pipeline including wavelet transformation feature extraction, fuzzy logic system with classifiers based on linear regression. The performed experiment and its results are presented an evaluated.

Keywords

PIR sensor, classification, fuzzy model, linear regression

Department
Department of Intelligent Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade A
Date
29 August 2019
Reviewer
Kempter Guido, prof.
Committee
Růžička Richard, doc. Ing., Ph.D., MBA (DCSY FIT BUT), předseda
Dytrych Jaroslav, Ing., Ph.D. (DCGM FIT BUT), člen
Křena Bohuslav, Ing., Ph.D. (DITS FIT BUT), člen
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Citation
BENEŠ, Martin. Counting People Using a PIR Sensor. Brno, 2019. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-08-29. Supervised by Drahanský Martin. Available from: https://www.fit.vut.cz/study/thesis/21967/
BibTeX 
@bachelorsthesis{FITBT21967,
    author = "Martin Bene\v{s}",
    type = "Bachelor's thesis",
    title = "Counting People Using a PIR Sensor",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "english",
    url = "https://www.fit.vut.cz/study/thesis/21967/"
}

Theses

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