| Title: | Razvoj sistema za robustno detekcijo in prepoznavo obrazov za IOT- okolja na platformi Azure : diplomsko delo |
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| Authors: | ID Pustoslemšek, Žiga (Author)
ID Rojc, Matej (Mentor) More about this mentor... 
ID Mlakar, Izidor (Comentor) |
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| Files: |  VS_Pustoslemsek_Ziga_2019.pdf (2,49 MB)
MD5: 69CA931C53BE1E66792630F188B0385D
PID: 20.500.12556/dkum/9eac9fd2-e505-48db-a099-f765d058aeef
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| Language: | Slovenian |
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| Work type: | Bachelor thesis/paper |
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| Typology: | 2.11 - Undergraduate Thesis |
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| Organization: | FERI - Faculty of Electrical Engineering and Computer Science
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| 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. |
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| Keywords: | Microsoft Azure, spletna aplikacija, prepoznava obrazov, detekcija obrazov |
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| Place of publishing: | Maribor |
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| Place of performance: | Maribor |
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| Publisher: | [Ž. Pustoslemšek] |
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| Year of publishing: | 2019 |
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| Number of pages: | VIII, 55 str. |
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| PID: | 20.500.12556/DKUM-74986 |
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| UDC: | 004.932\'1(043.2) |
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| COBISS.SI-ID: | 22889238 |
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| NUK URN: | URN:SI:UM:DK:PNNHBT4G |
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| Publication date in DKUM: | 21.11.2019 |
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| Views: | 1517 |
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| Downloads: | 92 |
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| Metadata: |    |
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| Categories: | KTFMB - FERI
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