prikaz prve stranice dokumenta Detekcija i očitanje registarskih oznaka vozila u otežanim uvjetima
No public access
undergraduate thesis
Detekcija i očitanje registarskih oznaka vozila u otežanim uvjetima
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:846636
Hančić, Fran
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Hančić, F. (2019). Detekcija i očitanje registarskih oznaka vozila u otežanim uvjetima (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:846636

Hančić, Fran. "Detekcija i očitanje registarskih oznaka vozila u otežanim uvjetima." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:846636

Hančić, Fran. "Detekcija i očitanje registarskih oznaka vozila u otežanim uvjetima." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:846636

Hančić, F. (2019). 'Detekcija i očitanje registarskih oznaka vozila u otežanim uvjetima', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:846636

Hančić F. Detekcija i očitanje registarskih oznaka vozila u otežanim uvjetima [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 December 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:846636

F. Hančić, "Detekcija i očitanje registarskih oznaka vozila u otežanim uvjetima", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:846636

Metadata
TitleDetekcija i očitanje registarskih oznaka vozila u otežanim uvjetima
Title (english)Detection and Reading of Vehicle Registrations in Difficult Conditions
AuthorFran Hančić
MentorMarko Subašić (mentor)
Committee memberMarko Subašić (predsjednik povjerenstva)
Committee memberIvana Zadro Matovinović (član povjerenstva)
Committee memberKarlo Koščević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad bavi se izmjenom Faster R-CNN modela kako bi bolje odgovarao problemu detekcije registarskih oznaka u otežanim uvjetima. U radu su detaljno objašnjeni hiperparametri i njihov utjecaj te je kroz iteracije razvoja modela razvijen vrlo dobar model koji rješava zadan problem. Također je opsežno objašnjena metodologija u radu i koncepti kojima su se racionalizirale odluke donesene prilikom razvoja. Rad se također dotiče optičkog očitanja registarskih oznaka, gdje opisuje korake pred-procesiranja i samog očitanja tablica.
Abstract (english)
This paper deals with the modification of the Faster R-CNN model to better address the problem of detection of registration labels in difficult conditions. The paper explains in detail the hyperparameters and their influence, and through the development iterations of the model, a very good model has been developed to solve the given problem. The work methodology is also extensively explained along with concepts that rationalize decisions made during development. The work also touches upon the optical reading of the registration labels, describing the steps of pre-processing and reading vehicle registrations themselves.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:846636
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2020-01-07 18:22:21