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master's thesis
Nadgledanje pristupa prostoru pomoću raspoznavanja lica
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:162596
Raguž, Jakov
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Raguž, J. (2022). Nadgledanje pristupa prostoru pomoću raspoznavanja lica (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:162596

Raguž, Jakov. "Nadgledanje pristupa prostoru pomoću raspoznavanja lica." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:162596

Raguž, Jakov. "Nadgledanje pristupa prostoru pomoću raspoznavanja lica." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:162596

Raguž, J. (2022). 'Nadgledanje pristupa prostoru pomoću raspoznavanja lica', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 06 April 2025, https://urn.nsk.hr/urn:nbn:hr:168:162596

Raguž J. Nadgledanje pristupa prostoru pomoću raspoznavanja lica [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2025 April 06] Available at: https://urn.nsk.hr/urn:nbn:hr:168:162596

J. Raguž, "Nadgledanje pristupa prostoru pomoću raspoznavanja lica", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:162596

Metadata
TitleNadgledanje pristupa prostoru pomoću raspoznavanja lica
Title (english)Access Control Based on Face Recognition
AuthorJakov Raguž
MentorIgor Sunday Pandžić (mentor)
Committee memberIgor Sunday Pandžić (predsjednik povjerenstva)
Committee memberMirko Sužnjević (član povjerenstva)
Committee memberLea Skorin-Kapov (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Sustav za raspoznavanje lica u ovom radu implementiran je koristeći programski jezik Python te primarno biblioteku OpenCV. Implementaciju možemo podijeliti na pet koraka: prikupljanje podataka, treniranje modela, validacija modela, testiranje modela i izrada korisničkog sučelja. Za treniranje modela prvo je potrebno prikupiti fotografije osoba koje želimo da naš model nauči prepoznati. Nakon prikupljanja fotografija slijedi treniranje modela LBPH algoritmom dostupni također u OpenCV biblioteci.... More Sljedeći korak je validacija treniranog modela s ciljem određivanja vrijednosti praga za mjeru udaljenosti. Kada je prag određen slijedi izrada programa koji omogućava raspoznavanje osoba u stvarnom vremenu. Kako bi se korisniku pojednostavila upotreba sustava, na kraju se kreira korisničko sučelje. Raspravljeni su glavni problemi prilikom implementacije kao i moguća poboljšanja. Less
Abstract (english)
The face recognition system in this paper is implemented using the Python programming language and primarily the OpenCV library. Implementation can be divided into five steps: data collection, model training, model validation, model testing, and user interface development. To train a model, it is first necessary to collect photos of the people we want our model to learn to recognize. The collection of photographs is followed by training of the model with the LBPH algorithm, also available in... More the OpenCV library. The next step is to validate the trained model in order to determine the threshold value for the distance measure. Once the threshold has been set, a program is created that enables the recognition of people in real-time. In order to make the system user-friendly, a user interface is created. The main problems during implementation as well as possible improvements were also discussed. Less
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:162596
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
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Created on2023-01-14 09:48:29
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