Programsko rješenje prepoznavanja lica i analize prikupljenih podataka u oblaku računala

Marković, Ivan

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master's thesis

Programsko rješenje prepoznavanja lica i analize prikupljenih podataka u oblaku računala

2016. urn:nbn:hr:200:499953

Marković, Ivan

Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

Cite this document

APA 6th Edition

Marković, I. (2016). Programsko rješenje prepoznavanja lica i analize prikupljenih podataka u oblaku računala (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:200:499953

MLA 8th Edition

Marković, Ivan. "Programsko rješenje prepoznavanja lica i analize prikupljenih podataka u oblaku računala." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2016. https://urn.nsk.hr/urn:nbn:hr:200:499953

Chicago 17th Edition

Harvard

Marković, I. (2016). 'Programsko rješenje prepoznavanja lica i analize prikupljenih podataka u oblaku računala', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 03 March 2025, https://urn.nsk.hr/urn:nbn:hr:200:499953

Vancouver

Marković I. Programsko rješenje prepoznavanja lica i analize prikupljenih podataka u oblaku računala [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2016 [cited 2025 March 03] Available at: https://urn.nsk.hr/urn:nbn:hr:200:499953

IEEE

I. Marković, "Programsko rješenje prepoznavanja lica i analize prikupljenih podataka u oblaku računala", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:200:499953

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:499953

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Metadata

Title	Programsko rješenje prepoznavanja lica i analize prikupljenih podataka u oblaku računala
Title (english)	Cloud-based software solution for face detection and analysis of collected data
Author	Ivan Marković
Mentor	Josip Job (mentor)
Committee member	Josip Job (predsjednik povjerenstva)
Committee member	Časlav Livada (član povjerenstva)
Committee member	Krešimir Romić (član povjerenstva)
Granter	Josip Juraj Strossmayer University of Osijek Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (Department of Software Engineering) (Chair of Visual Computing) Osijek
Defense date and country	2016-07-04, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing Program Engineering
Abstract	U ovom diplomskom radu osmišljen je i programski analiziran sustav za analiziranje fotografija, odnosno prepoznavanje lica osoba koje se nalaze na fotografiji. Cilj sustava je ponuditi korisnicima prijenos fotografija u sustav, koje se potom analiziraju koristeći uslugu Microsoft Azure Cognitive Services. Glavni fokus ovog rada je na izradi skalabilnog rješenja u oblaku računala koje koristi dvije različite role: Worker Role i Web Role. Ideja iza dvije role je omogućiti visoku dostupnost usluge krajnjem korisniku na način da Web rola zaprima zahtjeve a worker rola u pozadini obrađuje te zahtjeve. Komunikacija između rola ostvarena je korištenjem redova. Korištene usluge u oblaku računala su : Azure Cognitive Services, Azure Cloud Services, Azure Blob Storage, Azure Queue Storage, Azure SQL Database. Analiza prikupljenih podataka ostvarena je alatom Power BI.
Abstract (english)	In this work a system for face detection and analysis of photos has been designed and realized. The aim of system is to offer users a possibility for uploading photos, which are then analyzed using Microsoft Azure Cognitive Services. The main focus in this work is scalable architecture in cloud which is composed of two roles: Worker role and Web role. The idea behind these two roles is to provide high available system for end user in which web role is used for uploading photos and worker role is used for doing background processing of photos. Communication between two roles is realized using queues. Used cloud services are: Azure Cognitive Services, Azure Cloud Services, Azure Blob Storage, Azure Queue Storage and Azure SQL Database. The analysis of collected date is realized using Power BI tool.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:200:499953
Study programme	Title: 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 resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Created on	2016-10-17 11:23:13