Lokalizacija i raspoznavanje objekata korištenjem induktivnih rezonantnih senzora

master's thesis

• Title (english): Localization and Object Recognition Using Inductive Resonance Sensors
• Author: Alen Vlahinić
• Mentor: Mario Cifrek (mentor)
• Committee member: Mario Cifrek (predsjednik povjerenstva)
• Committee member: Hrvoje Džapo (član povjerenstva)
• Committee member: Željka Lučev Vasić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2019-07-11, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

Industrijski induktivni senzori za mjerenje prisutnosti metalnih objekata (engl. proximity
sensors) daju izlazni signal čija amplituda ovisi o udaljenosti točno definiranog
metalnog objekta. Tema ovog diplomskog rada je razvoj sustava koji omogućuje prepoznavanje i praćenje trajektorije gibanja nepoznatog metalnog objekta te raspoznavanje vrste metala od kojeg se objekt sastoji. Sustav se sastoji od tri titrajna kruga smještena u prostoru u kojem se kreće metalni objekt i mijenja im karakteristike. Korištenjem programskog paketa Matlab razvijeni su algoritmi za amplitudnu i frekvencijsku demodulaciju signala izmjerenih na titrajnim krugovima, algoritam koji na temelju amplitude i frekvencije lokalizira objekt u prostoru detekcije i pridružuje trajektoriju
gibanja u vremenu, te algoritam koji prepoznaje vrstu metala. Nakon razvoja u Matlabu,
algoritmi obrade signala, prepoznavanja i lokalizacije objekta pripremljeni su
za obradu u realnom vremenu na ugradbenom računalnom sustavu ARM Cortex M
arhitekture.

Abstract (english)

Industrial inductive sensors for measuring the presence of metal objects (english
proximity sensors) give an output signal whose amplitude depends on the distance of
a precisely defined metallic object. The topic of this thesis is the development of a
system that enables the identification and monitoring of the trajectory of the motion
of an unknown metal object and the recognition of the type of metal from which the
object is composed. The system consists of three oscillating circuits located in the
space in which the metal object moves and changes its characteristics. By using the
Matlab software package, algorithms for amplitude and frequency demodulation of
signals measured on oscillating circuits, an algorithm that localizes the object in the
detection area based on the amplitude and frequency and joins the trajectory of motion
in time, and an algorithm that recognizes the type of metal have been developed. After
development in Matlab, algorithms for signal processing, recognition and localization
of the object are prepared for the real-time processing on the embedded computer
system ARM Cortex M architecture.

• Keywords: titrajni krug; Matlab; algoritam; ARM Cortex M
• Keywords (english): oscillating circuits; Matlab; algorithm; ARM Cortex M
• Language: croatian
• URN:NBN: urn:nbn:hr:168:615658
• Study programme: Title: Electrical Engineering and Information Technology; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2020-01-07 22:53:46