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master's thesis
Mobilna aplikacija za anotaciju slika
2023. urn:nbn:hr:200:329075
Dragić, Domagoj
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Programming Languages and Systems

Cite this document

Dragić, D. (2023). Mobilna aplikacija za anotaciju slika (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:329075

Dragić, Domagoj. "Mobilna aplikacija za anotaciju slika." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2023. https://urn.nsk.hr/urn:nbn:hr:200:329075

Dragić, Domagoj. "Mobilna aplikacija za anotaciju slika." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2023. https://urn.nsk.hr/urn:nbn:hr:200:329075

Dragić, D. (2023). 'Mobilna aplikacija za anotaciju slika', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 18 September 2024, https://urn.nsk.hr/urn:nbn:hr:200:329075

Dragić D. Mobilna aplikacija za anotaciju slika [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2023 [cited 2024 September 18] Available at: https://urn.nsk.hr/urn:nbn:hr:200:329075

D. Dragić, "Mobilna aplikacija za anotaciju slika", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:200:329075

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Metadata
TitleMobilna aplikacija za anotaciju slika
Title (english)Mobile application for image annotation
AuthorDomagoj Dragić
MentorJosip Balen (mentor)
Committee memberJosip Balen (predsjednik povjerenstva)
Committee memberKrešimir Romić (član povjerenstva)
Committee memberMatej Arlović (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Programming Languages and Systems)
Osijek
Defense date and country2023-09-18, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
Razvojem napredne tehnologije sve češća je pojava pametnih sustava za ranu detekciju požara. Kako bi takvi sustavi mogli ispravno obavljati svoj posao potrebno ih je prethodno naučiti kako razlikovati vatru i dim od ostatke okoline te kako prepoznati rani požar. Cilj ovog rada bio je upoznati se s metodama strojnog učenja koja omogućavaju rješavanje ovog problema te razviti aplikaciju koja će poslužiti kao alat za anotiranje testnih slika koje će se kasnije koristiti upravo u svrhe treniranje tog modela. Korištenjem predložene arhitekture i pomoćnih alata razvijena je mobilna aplikacija za Android operacijski sustav. Nakon razvoja aplikacije verificirane su sve njezine komponente i ispravnost istih usporedbom s funkcionalnim zahtjevima koji su ranije raspisani.
Abstract (english)
With the development of advanced technology, the appearance of smart systems for early fire detection is becoming more and more common. In order for such systems to be able to perform their work correctly, they must first be taught how to distinguish fire and smoke from the rest of the environment and how to recognize an early fire. The goal of this paper was to learn about machine learning methods that enable solving this problem and to develop an application that will serve as a tool for annotating test images that will later be used for the purpose of training that model. Using the proposed architecture and utility tools, a mobile application for the Android operating system was developed. After the development of the application, all of its components and their integrity were verified by comparing them with the functional requirements that were written out earlier.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:329075
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-10-09 09:21:30