prikaz prve stranice dokumenta Prepoznavanje i praćenje objekata kamerom pomoću strojnog vida
  Download
PDF 4.88 MB
master's thesis
Prepoznavanje i praćenje objekata kamerom pomoću strojnog vida
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2024. urn:nbn:hr:235:568753
Bačevina, Luka
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

Bačevina, L. (2024). Prepoznavanje i praćenje objekata kamerom pomoću strojnog vida (Master's thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:568753

Bačevina, Luka. "Prepoznavanje i praćenje objekata kamerom pomoću strojnog vida." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2024. https://urn.nsk.hr/urn:nbn:hr:235:568753

Bačevina, Luka. "Prepoznavanje i praćenje objekata kamerom pomoću strojnog vida." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2024. https://urn.nsk.hr/urn:nbn:hr:235:568753

Bačevina, L. (2024). 'Prepoznavanje i praćenje objekata kamerom pomoću strojnog vida', Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 14 July 2024, https://urn.nsk.hr/urn:nbn:hr:235:568753

Bačevina L. Prepoznavanje i praćenje objekata kamerom pomoću strojnog vida [Master's thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2024 [cited 2024 July 14] Available at: https://urn.nsk.hr/urn:nbn:hr:235:568753

L. Bačevina, "Prepoznavanje i praćenje objekata kamerom pomoću strojnog vida", Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:235:568753

Metadata
TitlePrepoznavanje i praćenje objekata kamerom pomoću strojnog vida
Title (english)Recognition and tracking of objects with a camera using machine vision.
AuthorLuka Bačevina
MentorŽeljko Šitum (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2024-07-15, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
General Mechanical Engineering (Construction)
Abstract
Računalni vid interdisciplinarno je područje koje se bavi obradom vizualnih podataka za računalnu interpretaciju. Uz pomoć naprednih algoritama i strojnog učenja sustavi računalnog vida imaju mogućnost prepoznavati uzorke i detektirati objekte i radnje u stvarnom vremenu. Danas je u uporabi u raznim poljima, od medicinske robotike do autonomnih vozila. U ovom radu predstavljen je postupak razvoja sustava računalnog vida za prepoznavanje stanja na semaforima za pješake u svrhu pomaganja slijepim osobama prilikom prelaska ceste. Potrebno je razviti prijenosni sustav koji će se sastojati od kamere i integriranog računalnog sustava na kojem će se obrađivati podaci sa kamere u stvarnom vremenu. Takav sustav moći će pomoći slijepim osobama da se lakše i neovisnije snalaze u urbanim sredinama
Abstract (english)
Computer vision is an interdisciplinary field which is concerned with processing visual data for use in computer interpretation. With the help of advanced algorithms and machine learning, computer vision systems have the ability to detect patterns, objects and other actions in real time. Today it is used in various fields, from medical robotics to autonomous vehicles. This thesis will concern itself with developing a system of machine vision for detecting the state of crosswalk signals for the purpose of assisting blind persons when crossing the road. It is necessary to develop a portable system that will consist of a camera and an integrated computer on which the data from the camera will be processed in real-time. Such a system will be able to assist blind persons to navigate in urban environments more easily and independently.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:568753
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka strojarstva (magistar/magistra inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-07-11 16:54:02