Prepoznavanje objekata korištenjem računala Raspberry  Pi i biblioteke OpenCV

Ćavar, Mateo

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undergraduate thesis

Prepoznavanje objekata korištenjem računala Raspberry Pi i biblioteke OpenCV

Split: University of Split, University of Split, Faculty of science, 2020. urn:nbn:hr:166:541186

Ćavar, Mateo

University of Split
Faculty of Science
Department of Informatics

Cite this document

APA 6th Edition

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

MLA 8th Edition

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

Chicago 17th Edition

Harvard

Ćavar, M. (2020). 'Prepoznavanje objekata korištenjem računala Raspberry Pi i biblioteke OpenCV', Undergraduate thesis, University of Split, Faculty of Science, accessed 25 December 2024, https://urn.nsk.hr/urn:nbn:hr:166:541186

Vancouver

Ćavar M. Prepoznavanje objekata korištenjem računala Raspberry Pi i biblioteke OpenCV [Undergraduate thesis]. Split: University of Split, Faculty of Science; 2020 [cited 2024 December 25] Available at: https://urn.nsk.hr/urn:nbn:hr:166:541186

IEEE

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

Cite this item: https://urn.nsk.hr/urn:nbn:hr:166:541186

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Metadata

Title	Prepoznavanje objekata korištenjem računala Raspberry Pi i biblioteke OpenCV
Title (english)	Object detection using Raspberry Pi computer and OpenCV Library
Author	Mateo Ćavar
Mentor	Andrina Granić (mentor)
Mentor	Jelena Nakić (pomoć pri izradi, neposredni voditelj)
Committee member	Andrina Granić (predsjednik povjerenstva)
Committee member	Nikola Marangunić (član povjerenstva)
Committee member	Jelena Nakić (član povjerenstva)
Granter	University of Split Faculty of Science (Department of Informatics) Split
Defense date and country	2020-07-21, 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)
Language	croatian
URN:NBN	urn:nbn:hr:166:541186
Study programme	Title: 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 resource	Text
File origin	Born digital
Access conditions	Access restricted to authenticated users
Terms of use
Repository	Repository of Faculty of Science
Created on	2021-01-14 11:52:19