prikaz prve stranice dokumenta Prepoznavanje objekata korištenjem računala Raspberry Pi i biblioteke OpenCV
Access restricted to authenticated users
undergraduate thesis
Prepoznavanje objekata korištenjem računala Raspberry Pi i biblioteke OpenCV
2020. urn:nbn:hr:166:541186
Ćavar, Mateo
University of Split
Faculty of Science
Department of Informatics

Cite this document

Ćavar, M. (2020). Prepoznavanje objekata korištenjem računala Raspberry Pi i biblioteke OpenCV (Undergraduate thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:541186

Ćavar, Mateo. "Prepoznavanje objekata korištenjem računala Raspberry Pi i biblioteke OpenCV." Undergraduate thesis, University of Split, Faculty of Science, 2020. https://urn.nsk.hr/urn:nbn:hr:166:541186

Ćavar, Mateo. "Prepoznavanje objekata korištenjem računala Raspberry Pi i biblioteke OpenCV." Undergraduate thesis, University of Split, Faculty of Science, 2020. https://urn.nsk.hr/urn:nbn:hr:166:541186

Ćavar, M. (2020). 'Prepoznavanje objekata korištenjem računala Raspberry Pi i biblioteke OpenCV', Undergraduate thesis, University of Split, Faculty of Science, accessed 13 November 2024, https://urn.nsk.hr/urn:nbn:hr:166:541186

Ćavar M. Prepoznavanje objekata korištenjem računala Raspberry Pi i biblioteke OpenCV [Undergraduate thesis]. Split: University of Split, Faculty of Science; 2020 [cited 2024 November 13] Available at: https://urn.nsk.hr/urn:nbn:hr:166:541186

M. Ćavar, "Prepoznavanje objekata korištenjem računala Raspberry Pi i biblioteke OpenCV", Undergraduate thesis, University of Split, Faculty of Science, Split, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:166:541186

Please login to the repository to save this object to your list.
Metadata
TitlePrepoznavanje objekata korištenjem računala Raspberry Pi i biblioteke OpenCV
Title (english)Object detection using Raspberry Pi computer and OpenCV Library
AuthorMateo Ćavar
MentorAndrina Granić (mentor)
MentorJelena Nakić (pomoć pri izradi, neposredni voditelj)
Committee memberAndrina Granić (predsjednik povjerenstva)
Committee memberNikola Marangunić (član povjerenstva)
Committee memberJelena Nakić (član povjerenstva)
GranterUniversity of Split
Faculty of Science
(Department of Informatics)
Split
Defense date and country2020-07-21, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Prepoznavanje objekata je područje računalnog vida koje zadnjih 10 godina doživljava ubrzan razvoj i primjenu u širokom spektru modernih tehnologija. Od samog početka razvoja u 20. stoljeću, pa do danas, izmijenilo se puno metoda i algoritama koji su doprinijeli ubrzanom razvoju i popularizaciji računalnog vida. Iako su na početku razvoja tehnički zahtjevi za implementaciju bili visoki, danas je to sasvim drugačije. Cilj ovog završnog rada je dokazati da se prepoznavanje objekata korištenjem biblioteke OpenCV i programskog jezika Python može implementirati čak i na mikroračunalo Raspberry Pi. Opisan je postupak od pripreme sklopovlja do izrade aplikacije i ukratko su opisana djelovanja i povijest korištenih tehnologija.
Abstract (english)
Object recognition is an area of computer vision that has experienced rapid development and application in a wide range of modern technologies over the past 10 years. From the very beginning of development in the 20th century until today, many methods and algorithms have changed that have contributed to the rapid development and popularization of computer vision. Although at the beginning of development the technical requirements for implementation were high, today it is completely different. The aim of this final paper is to prove that object recognition using OpenCV library and Python programming language can be implemented even on Raspberry Pi microcomputer. The process from the preparation of the hardware to the development of the application is described and the actions and history of the technologies used are briefly described.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:541186
Study programmeTitle: Computer Science and Technics
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike i tehnike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike i tehnike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to authenticated users
Terms of useLicence In copyright icon
Created on2021-01-14 11:52:19