Sustav za identifikaciju osoba temeljen na računalnom vidu i dubokom učenju

Španović, Mihael

undergraduate thesis

Sustav za identifikaciju osoba temeljen na računalnom vidu i dubokom učenju

Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. urn:nbn:hr:200:411927

Španović, Mihael

Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Computer Engineering and Automation
Chair of Automation and Robotics

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

APA 6th Edition

Španović, M. (2022). Sustav za identifikaciju osoba temeljen na računalnom vidu i dubokom učenju (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:411927

MLA 8th Edition

Španović, Mihael. "Sustav za identifikaciju osoba temeljen na računalnom vidu i dubokom učenju." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:200:411927

Chicago 17th Edition

Harvard

Španović, M. (2022). 'Sustav za identifikaciju osoba temeljen na računalnom vidu i dubokom učenju', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 14 January 2025, https://urn.nsk.hr/urn:nbn:hr:200:411927

Vancouver

Španović M. Sustav za identifikaciju osoba temeljen na računalnom vidu i dubokom učenju [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2022 [cited 2025 January 14] Available at: https://urn.nsk.hr/urn:nbn:hr:200:411927

IEEE

M. Španović, "Sustav za identifikaciju osoba temeljen na računalnom vidu i dubokom učenju", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:200:411927

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:411927

Metadata

Title	Sustav za identifikaciju osoba temeljen na računalnom vidu i dubokom učenju
Title (english)	A system for person identification based on computer vision and deep learning
Author	Mihael Španović
Mentor	Ratko Grbić (mentor)
Committee member	Ratko Grbić (predsjednik povjerenstva)
Committee member	Emmanuel Karlo Nyarko (član povjerenstva)
Committee member	Petra Pejić (član povjerenstva)
Granter	Josip Juraj Strossmayer University of Osijek Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (Department of Computer Engineering and Automation) (Chair of Automation and Robotics) Osijek
Defense date and country	2022-09-09, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing Artificial Intelligence
Abstract	Tema ovog završnog rada je razvoj sustava za identifikaciju osobe koristeći računalni vid i duboko učenje. Opisani su problemi i izazovi razvoja takvog sustava, te su analizirane razne metode koje mogu biti korištene. Postavljeni su zahtjevi na spomenuti sustav i predstavljen je primjer osnovne strukture sustava koji je i programski razvijen koristeći programski jezik Python. Zatim je provedeno testiranje nad podsustavima detekcije i prepoznavanja te su predstavljeni dobiveni rezultati.
Abstract (english)	The topic of this final thesis is the development of a system for person identification using computer vision and deep learning. The problems and challenges of developing such a system are described, and various methods that can be used are analyzed. The requirements for the mentioned system were set and an example of the basic structure of the system was presented, which was also developed using the Python programming language. Then the detection and recognition subsystems were tested and the obtained results were presented.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:200:411927
Study programme	Title: Undergraduate professional study programme in Computer Engineering Study programme type: professional Study level: undergraduate Academic / professional title: stručni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (stručni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Created on	2022-10-11 11:52:27

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