prikaz prve stranice dokumenta Prepoznavanje lica korisnika za primjene u pametnom uredu
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undergraduate thesis
Prepoznavanje lica korisnika za primjene u pametnom uredu
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:187394
Ježić, Karlo
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Ježić, K. (2020). Prepoznavanje lica korisnika za primjene u pametnom uredu (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:187394

Ježić, Karlo. "Prepoznavanje lica korisnika za primjene u pametnom uredu." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:187394

Ježić, Karlo. "Prepoznavanje lica korisnika za primjene u pametnom uredu." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:187394

Ježić, K. (2020). 'Prepoznavanje lica korisnika za primjene u pametnom uredu', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:187394

Ježić K. Prepoznavanje lica korisnika za primjene u pametnom uredu [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 November 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:187394

K. Ježić, "Prepoznavanje lica korisnika za primjene u pametnom uredu", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:187394

Metadata
TitlePrepoznavanje lica korisnika za primjene u pametnom uredu
Title (english)User Face Recognition for Smart Office Applications
AuthorKarlo Ježić
MentorIvana Podnar Žarko (mentor)
Committee memberIvana Podnar Žarko (predsjednik povjerenstva)
Committee memberDario Pevec (član povjerenstva)
Committee memberPetar Krivić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-03, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu prikazane su tehnologije i algoritmi koji su danas primjenjivi za rješavanje problema prepoznavanja lica te odabrane tehnologije i implementacija sustava koji omogućuje osobi ulazak u pametni ured na temelju prepoznavanja njegovog lica iz struje videa. Sustav koristeći metode strojnog i dubokog učenje detektira lice, prepoznaje njegove ključne značajke te na temelju njih izrađuje 128-dimenzionalno polje koje uspoređuje s prije izrađenim poljima „poznatih lica“ iz baze podataka, te ovisno o toj usporedbi određuje ima li osoba ovlasti ući u pametni ured ili ne.
Abstract (english)
This paper presents technologies and algorithms that are today applicable to solve the problem of face recognition, and selected technologies and implementation of a system that allows a person to enter a smart office by recognizing his face. Using machine and deep learning, the system detects the face, recognizes its key features and creates a 128-dimensional field called embedding. The system then compares previously created embeddings of “known persons” from the database and depending on its similarity determines whether a person has the authority to enter a smart office or not.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:187394
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
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Created on2023-01-14 09:00:23