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master's thesis
Detekcija i raspoznavanje lica unutar iOS aplikacije
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. urn:nbn:hr:200:883241
Barbarić, Nikola
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

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Barbarić, N. (2022). Detekcija i raspoznavanje lica unutar iOS aplikacije (Master's 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:200:883241

Barbarić, Nikola. "Detekcija i raspoznavanje lica unutar iOS aplikacije." Master's 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:200:883241

Barbarić, Nikola. "Detekcija i raspoznavanje lica unutar iOS aplikacije." Master's 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:200:883241

Barbarić, N. (2022). 'Detekcija i raspoznavanje lica unutar iOS aplikacije', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 24 March 2025, https://urn.nsk.hr/urn:nbn:hr:200:883241

Barbarić N. Detekcija i raspoznavanje lica unutar iOS aplikacije [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2022 [cited 2025 March 24] Available at: https://urn.nsk.hr/urn:nbn:hr:200:883241

N. Barbarić, "Detekcija i raspoznavanje lica unutar iOS aplikacije", Master's 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:200:883241

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Metadata
TitleDetekcija i raspoznavanje lica unutar iOS aplikacije
Title (english)Face detection and recognition in iOS applications
AuthorNikola Barbarić
MentorIrena Galić (mentor)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Osijek
Defense date and country2022-10-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Automation and Robotics
Abstract
Diplomski rad prikazuje proces izrade mobilne aplikacije za bilježenje nazočnosti studenata. Ideja je spriječiti krivotvorenje potpisa, izbaciti upotrebu papira i ubrzati cijeli proces. iOS platforma je odabrana jer ima kvalitetnije biblioteke nego Android. Glavna značajka je prepoznavanje lica, koja se koristi kao alat za identifikaciju i verifikaciju. Kao baza podataka je korišten Firebase, Swift kao programski jezik i Vision biblioteka za detekciju lica i značajki lica. Prikazana su... More najpopularnija slična rješenja, kao i najpopularniji algoritmi koji se koriste za detekciju lica i nj značajki. Opisane su značajke koje se smatraju ključnim, kako se uzimaju, što se radi s njima, kako se spremaju i kako se provjeravaju. Testiranje je obavljeno ručno i rezultati su prikazani s mogućnostima za napredak. Less
Abstract (english)
This thesis demonstrates the process of making a mobile application for recording student attendance. The idea is to prevent signature forgeries, eliminate the use of paper, and speed up the whole process. iOS platform was chosen because it has better quality frameworks than Android. The main feature is facial recognition, which has been used as an identification and verification tool. Firebase was used as a database, Swift as a programming language, and Vision framework for face and... More facial landmark detection. The most popular similar solutions are shown, as well as the most popular algorithms used for face detection and its features. It is shown which features are considered essential, how they are taken, what is done with them, how they are saved, and how they are checked. Testing was done manually and results are shown with possibilities of improvement. Less
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:883241
Study programmeTitle: Graduate University Study Programme in Computer Engineering
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 conditionsOpen access
Terms of useLicence In copyright icon
RepositoryFaculty of Electrical Engineering, Computer Science and Information Technology Osijek
Created on2022-11-22 17:05:28
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