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undergraduate thesis
Sustav za identifikaciju osoba temeljen na računalnom vidu i dubokom učenju
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

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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

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

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

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 23 January 2025, https://urn.nsk.hr/urn:nbn:hr:200:411927

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 23] Available at: https://urn.nsk.hr/urn:nbn:hr:200:411927

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

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Metadata
TitleSustav za identifikaciju osoba temeljen na računalnom vidu i dubokom učenju
Title (english)A system for person identification based on computer vision and deep learning
AuthorMihael Španović
MentorRatko Grbić (mentor)
Committee memberRatko Grbić (predsjednik povjerenstva)
Committee memberEmmanuel Karlo Nyarko (član povjerenstva)
Committee memberPetra Pejić (član povjerenstva)
GranterJosip 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 country2022-09-09, 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)
Languagecroatian
URN:NBNurn:nbn:hr:200:411927
Study programmeTitle: 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 resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-10-11 11:52:27