| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:Razvoj sistema za robustno detekcijo in prepoznavo obrazov za IOT- okolja na platformi Azure : diplomsko delo
Authors:ID Pustoslemšek, Žiga (Author)
ID Rojc, Matej (Mentor) More about this mentor... New window
ID Mlakar, Izidor (Comentor)
Files:.pdf VS_Pustoslemsek_Ziga_2019.pdf (2,49 MB)
MD5: 69CA931C53BE1E66792630F188B0385D
PID: 20.500.12556/dkum/9eac9fd2-e505-48db-a099-f765d058aeef
 
Language:Slovenian
Work type:Bachelor thesis/paper
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
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[Ž. Pustoslemšek]
Year of publishing:2019
Number of pages:VIII, 55 str.
PID:20.500.12556/DKUM-74986 New window
UDC:004.932\'1(043.2)
COBISS.SI-ID:22889238 New window
NUK URN:URN:SI:UM:DK:PNNHBT4G
Publication date in DKUM:21.11.2019
Views:1332
Downloads:65
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
:
Copy citation
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share


Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

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


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica