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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

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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

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

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

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 24 April 2024, https://urn.nsk.hr/urn:nbn:hr:200:499953

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 2024 April 24] Available at: https://urn.nsk.hr/urn:nbn:hr:200:499953

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

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Metadata
TitleProgramsko rješenje prepoznavanja lica i analize prikupljenih podataka u oblaku računala
Title (english)Cloud-based software solution for face detection and analysis of collected data
AuthorIvan Marković
MentorJosip Job (mentor)
Committee memberJosip Job (predsjednik povjerenstva)
Committee memberČaslav Livada (član povjerenstva)
Committee memberKrešimir Romić (član povjerenstva)
GranterJosip 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 country2016-07-04, 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)
Languagecroatian
URN:NBNurn:nbn:hr:200:499953
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 on2016-10-17 11:23:13