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Title:Razvoj sistema za robustno detekcijo in prepoznavo obrazov za IOT- okolja na platformi Azure : diplomsko delo
Authors:Pustoslemšek, Žiga (Author)
Rojc, Matej (Mentor) More about this mentor... New window
Mlakar, Izidor (Co-mentor)
Files:.pdf VS_Pustoslemsek_Ziga_2019.pdf (2,49 MB)
MD5: 69CA931C53BE1E66792630F188B0385D
 
Language:Slovenian
Work type:Bachelor thesis/paper (mb11)
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomski nalogi predstavljamo razvoj dveh neodvisnih aplikacij, ki za prepoznavo obrazov uporabljata storitev Microsoft Azure Face. Prva aplikacija je namenjena za upravljanje z uporabniki, ki jih želimo vključiti v sistem prepoznave. Drugo aplikacijo pa smo razvili za proces prepoznavanja oseb v IoT okolju. V nalogi so predstavljene metode za detekcijo in prepoznavo obrazov, ter tehnologije uporabljene za razvoj sistema in obeh aplikacij.
Keywords:Microsoft Azure, spletna aplikacija, prepoznava obrazov, detekcija obrazov
Year of publishing:2019
Place of performance:Maribor
Publisher:[Ž. Pustoslemšek]
Number of pages:VIII, 55 str.
Source:Maribor
UDC:004.932\'1(043.2)
COBISS_ID:22889238 New window
NUK URN:URN:SI:UM:DK:PNNHBT4G
Views:356
Downloads:31
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:16.09.2019

Secondary language

Language:English
Title:Development of the robust face detection and recognition system for IOT environments on Azure platform
Abstract:The diploma thesis presents the development of two independent applications that use the Microsoft Azure Face service for face recognition. The first application is designed in order to manage the users that we want to include in the face recognition system. Another application was developed for the process of identifying persons in the IoT environment. In the thesis are presented methods for face detection and recognition, as well as the technologies used to develop the system and both applications.
Keywords:Microsoft Azure, web application, face recognition, face detection


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