prikaz prve stranice dokumenta Flutter aplikacija za detekciju 2D-kodova
No public access
master's thesis
Flutter aplikacija za detekciju 2D-kodova
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:899208
Radoš, Antonia
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Radoš, A. (2021). Flutter aplikacija za detekciju 2D-kodova (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:899208

Radoš, Antonia. "Flutter aplikacija za detekciju 2D-kodova." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:899208

Radoš, Antonia. "Flutter aplikacija za detekciju 2D-kodova." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:899208

Radoš, A. (2021). 'Flutter aplikacija za detekciju 2D-kodova', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 23 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:899208

Radoš A. Flutter aplikacija za detekciju 2D-kodova [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 November 23] Available at: https://urn.nsk.hr/urn:nbn:hr:168:899208

A. Radoš, "Flutter aplikacija za detekciju 2D-kodova", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:899208

Metadata
TitleFlutter aplikacija za detekciju 2D-kodova
Title (english)Flutter application for detection of 2D barcodes
AuthorAntonia Radoš
MentorHrvoje Mlinarić (mentor)
Committee memberHrvoje Mlinarić (predsjednik povjerenstva)
Committee memberIgor Čavrak (član povjerenstva)
Committee memberJosip Knezović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-08, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu istražuju se karakteristike i razvoj aplikacije u okviru Flutter, uz pomoć Google ML kompleta za korištenje strojnog učenja u mobilnim aplikacijama. Primjenjuje se na problem detekcije i klasifikacije 2D-kodova na vizualnom prikazu. Povrh toga cilj je omogućiti detekciju više kodova na jednom prikazu bez obzira na kut pod kojim se nalaze. Opisana je tehnologija 2D-kodova na primjeru nekoliko najraširenijih, njihove karakteristike i primjene. Prikazane su najpoznatije arhitekture za višeplatformski razvoj. Opisan je okvir Flutter i programski jezik Dart, njihove značajke i svojstva. Zatim je dan pregled grafičkog sučelja razvijene aplikacije. U konačnici analizirane su rezultati i performanse aplikacije.
Abstract (english)
This thesis explores the Flutter framework features and development, with the help of Google ML Kit for machine learning in mobile applications. It is applied to the problem of detection and classification of 2D barcodes. Moreover, the goal is to enable the detection of more than one barcode in one picture or frame regardless of the angle at which they are located. The 2D barcode technology has been described on the example of a few most commonly used, their characteristics and uses. Most common cross-platform solution architectures have been shown. Flutter and Dart have been described. After that, an overview of the application's UI has been given. In the end, results and app performance have been analyzed.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:899208
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2023-01-13 15:59:40