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undergraduate thesis
Oblikovanje i implementacija mobilne aplikacije za prepoznavanje novčanica
2023. urn:nbn:hr:166:618163
Domazet, Karlo
University of Split
Faculty of Science
Department of Informatics

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Domazet, K. (2023). Oblikovanje i implementacija mobilne aplikacije za prepoznavanje novčanica (Undergraduate thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:618163

Domazet, Karlo. "Oblikovanje i implementacija mobilne aplikacije za prepoznavanje novčanica." Undergraduate thesis, University of Split, Faculty of Science, 2023. https://urn.nsk.hr/urn:nbn:hr:166:618163

Domazet, Karlo. "Oblikovanje i implementacija mobilne aplikacije za prepoznavanje novčanica." Undergraduate thesis, University of Split, Faculty of Science, 2023. https://urn.nsk.hr/urn:nbn:hr:166:618163

Domazet, K. (2023). 'Oblikovanje i implementacija mobilne aplikacije za prepoznavanje novčanica', Undergraduate thesis, University of Split, Faculty of Science, accessed 13 November 2024, https://urn.nsk.hr/urn:nbn:hr:166:618163

Domazet K. Oblikovanje i implementacija mobilne aplikacije za prepoznavanje novčanica [Undergraduate thesis]. Split: University of Split, Faculty of Science; 2023 [cited 2024 November 13] Available at: https://urn.nsk.hr/urn:nbn:hr:166:618163

K. Domazet, "Oblikovanje i implementacija mobilne aplikacije za prepoznavanje novčanica", Undergraduate thesis, University of Split, Faculty of Science, Split, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:166:618163

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Metadata
TitleOblikovanje i implementacija mobilne aplikacije za prepoznavanje novčanica
Title (english)Design and Implementation of Mobile Application for Banknote Recognition
AuthorKarlo Domazet
MentorBranko Žitko (mentor)
Committee memberBranko Žitko (predsjednik povjerenstva)
Committee memberAni Grubišić (član povjerenstva)
Committee memberInes Šarić-Grgić (član povjerenstva)
GranterUniversity of Split
Faculty of Science
(Department of Informatics)
Split
Defense date and country2023-09-26, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Cilj ovog rada je istražiti primjenu modela strojnog učenja na pametnim telefonima. Rad započinje kratkim pregledom praktične primjene umjetne inteligencije nakon kojeg se objašnjavaju osnovni pojmovi ovog područja. Nadalje, prikazuje se proces izrade modela klasifikacije strojnog učenja tehnikom prijenosnog učenja uz pomoć alata Teachable Machine. Nakon toga, prikazuje se integracija izrađenog modela u mobilnu aplikaciju. Na kraju rada se analiziraju prednosti i nedostaci takvog pristupa.
Abstract (english)
The aim of this thesis is to explore the application of machine learning models on smartphones. The thesis begins with a brief overview of practical artificial intelligence applications followed by explanations of core concepts in this field. It then presents the process of constructing a machine learning classification model via the Teachable Machine tool using transfer learning techniques. Subsequently, it illustrates the integration of the created model into a mobile application. Finally, the thesis analyzes the advantages and disadvantages of such an approach.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:618163
Study programmeTitle: Computer Science
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2023-10-04 10:43:25