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master's thesis
Sustav za detekciju i identifikaciju većeg broja proizvoda putem QR-kôda
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:873018
Rašić, Marin
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Rašić, M. (2024). Sustav za detekciju i identifikaciju većeg broja proizvoda putem QR-kôda (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:873018

Rašić, Marin. "Sustav za detekciju i identifikaciju većeg broja proizvoda putem QR-kôda." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:873018

Rašić, Marin. "Sustav za detekciju i identifikaciju većeg broja proizvoda putem QR-kôda." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:873018

Rašić, M. (2024). 'Sustav za detekciju i identifikaciju većeg broja proizvoda putem QR-kôda', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 28 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:873018

Rašić M. Sustav za detekciju i identifikaciju većeg broja proizvoda putem QR-kôda [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2024 December 28] Available at: https://urn.nsk.hr/urn:nbn:hr:168:873018

M. Rašić, "Sustav za detekciju i identifikaciju većeg broja proizvoda putem QR-kôda", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:873018

Metadata
TitleSustav za detekciju i identifikaciju većeg broja proizvoda putem QR-kôda
Title (english)System for detection and identification of multiple products via QR code
AuthorMarin Rašić
MentorDaniel Hofman (mentor)
Committee memberDaniel Hofman (član povjerenstva)
Committee memberJosip Knezović (član povjerenstva)
Committee memberIgor Čavrak (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-02-28, Croatia
Abstract
Detekcija objekata je jedan od najznačajnijih problema područja računalnog vida. Moderni modeli detekcije objekata temelje se na dubokom učenju i neuronskim mrežama. Područje detekcije objekata se susreće s mnogim problemima, a jedan od njih je detekcija u stvarnom vremenu većeg broja objekata. QR kodovi su široko rasprostranjeni način kodiranja informacije. U sklopu ovog rada stvoren je program koji koristi YOLO model detekcije objekata za ostvarenje paralelne detekcije više objekata s QR kodovima u stvarnom vremenu.
Abstract (english)
Object detection is one the most significant problems in the field of computer vision. Modern object detection models are based on deep learning and neural networks. The field of object detection faces many problems, one of which is real-time detection of a large number of objects. QR codes are a widespread way of encoding information. As part of this paper, a program was created that uses YOLO object detection model to achieve parallel detection of multiple objects with QR codes in real time.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:873018
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
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Created on2024-03-28 07:53:08