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undergraduate thesis
Sustav za automatsko prepoznavanje lica iz fotografija temeljen na strojnom učenju
Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. urn:nbn:hr:179:679757
Bralić, Ivo
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Institutional repository: Repository of the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture

Cite this document

Bralić, I. (2022). Sustav za automatsko prepoznavanje lica iz fotografija temeljen na strojnom učenju (Undergraduate thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:679757

Bralić, Ivo. "Sustav za automatsko prepoznavanje lica iz fotografija temeljen na strojnom učenju." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:679757

Bralić, Ivo. "Sustav za automatsko prepoznavanje lica iz fotografija temeljen na strojnom učenju." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:679757

Bralić, I. (2022). 'Sustav za automatsko prepoznavanje lica iz fotografija temeljen na strojnom učenju', Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 04 November 2024, https://urn.nsk.hr/urn:nbn:hr:179:679757

Bralić I. Sustav za automatsko prepoznavanje lica iz fotografija temeljen na strojnom učenju [Undergraduate thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2022 [cited 2024 November 04] Available at: https://urn.nsk.hr/urn:nbn:hr:179:679757

I. Bralić, "Sustav za automatsko prepoznavanje lica iz fotografija temeljen na strojnom učenju", Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:179:679757

Metadata
TitleSustav za automatsko prepoznavanje lica iz fotografija temeljen na strojnom učenju
Title (english)A system for automatic face recognition from photographs based on machine learning
AuthorIvo Bralić
MentorToni Perković https://orcid.org/0000-0001-8826-4905 (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2022-09-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom završnom radu izrađen je sustav za automatsko prepoznavanje lica iz fotografija temeljen na strojnom učenju. Sustav omogućuje korisnicima da putem konzole obave treniranje samog sustava tako da mu pruže datoteku sa označenim slikama. Također omogućava i testiranje na sasvim novoj slici i kao rezultat daje identitet osobe prikazan vjerojatnosti u postotcima. Objašnjeni su i principi rada neuralnih mreža koje su temelj funkcioniranja ovoga sustava. U razvoju sustava korišteno je Visual studio code okruženje, programski jezik Python, FaceNet sustav te razne biblioteke koje su opisane u radu. Motivacija za izradu ovog sustava je ogromna upravo zbog mogućnosti primjene u razne svrhe.
Abstract (english)
In this thesis, a system for automatic facial recognition from photographs based on machine learning is made. The system allows users to do the training of the system itself through the console by providing it with a folder that contains selected images. It also allows testing on a completely new image and as a result gives the identity of the person shown by the probabilities in percentages. The principles of operation of neural networks that are the basis of the functioning of this system are also explained. Visual studio code environment, Python programming language, FaceNet system and various libraries described in the paper were used in the development of the system. The motivation for the creation of this system is huge precisely because of the possibility of application for various purposes
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:679757
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to authenticated users
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Created on2023-03-09 10:35:03