prikaz prve stranice dokumenta Detekcija i identifikacija registarskih tablica na automobilima
  Download
PDF 1.21 MB
undergraduate thesis
Detekcija i identifikacija registarskih tablica na automobilima
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2022. urn:nbn:hr:235:153620
Frajtag, Ines
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

Cite this document

Frajtag, I. (2022). Detekcija i identifikacija registarskih tablica na automobilima (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:153620

Frajtag, Ines. "Detekcija i identifikacija registarskih tablica na automobilima." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:235:153620

Frajtag, Ines. "Detekcija i identifikacija registarskih tablica na automobilima." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:235:153620

Frajtag, I. (2022). 'Detekcija i identifikacija registarskih tablica na automobilima', Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 17 November 2024, https://urn.nsk.hr/urn:nbn:hr:235:153620

Frajtag I. Detekcija i identifikacija registarskih tablica na automobilima [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2022 [cited 2024 November 17] Available at: https://urn.nsk.hr/urn:nbn:hr:235:153620

I. Frajtag, "Detekcija i identifikacija registarskih tablica na automobilima", Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:235:153620

Metadata
TitleDetekcija i identifikacija registarskih tablica na automobilima
Title (english)Detection and identification of licence plates on cars
AuthorInes Frajtag
MentorTomislav Stipančić (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2022-09, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Abstract
U ovom radu analizirat će se i opisati na koji način se vrši detekcija automobila u stvarnom vremenu, ali isto tako kako detektiramo i identificiramo registarske tablice na automobilima. OpenCV je biblioteka na kojoj će se temeljiti algoritmi u ovom radu, prilikom prepoznavanja rubova i kontura bitan je Canny detektor rubova, a samo iščitavanje znamenaka sa prepoznate registarske tablice vrši se optičkim sustavom za raspoznavanje znamenaka (OCR). Kako bi se spremili rezultati sa očitane tablice, kodom će se spojiti Python i Microsoft Excel i generirati tablicu sa rezultatima.
Abstract (english)
In this work, we will analyze and describe how car detection is done in real time, but also how we detect and idnetify license plates on cars. OpenCv is the library on which the algorithms in this work will be based. The Canny edge detector is essential when recognizing edges and contours. And the character reading from the recognized license plate is performed by an optical character recognitin system (OCR). In order to save the results from the license plate the code will connect Python and Microsoft Excel and generate an Excel file with results in it.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:153620
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-09-21 17:31:09