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DKUM
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Title:
Pametni video nadzor z uporabo umetne inteligence
Authors:
ID
Kunstek, Klemen
(
Author
)
ID
Verber, Domen
(
Mentor
)
More about this mentor...
Files:
UN_Kunstek_Klemen_2018.pdf
(9,26 MB)
MD5: EEDC3E9EA5E4D5FF5576EB87FC953ECD
PID:
20.500.12556/dkum/7b8738dc-894b-489c-be9d-585d2906d03a
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 je bilo predstavljeno področje video nadzora v kontekstu varnosti in pomoči pri bivanju. Predstavljeno je bilo tudi področje umetne inteligence; umetna inteligenca kot storitev in tehnologija strojnega učenja. V nalogi so bili primerjani različni ponudniki storitev AIaaS. V okviru naloge je bila razvita rešitev za domač varnostni videonadzor z uporabo mikroračunalnika, spletne kamere in storitve umetne inteligence. Predstavljeno je bilo njeno delovanje in rezultati testiranja. Podani so bili so bili predlogi za izboljšave domačega sistema.
Keywords:
videonadzor
,
umetna inteligenca
,
Amazon Web Services
,
Raspberry Pi
Place of publishing:
[Maribor
Publisher:
K. Kunstek
Year of publishing:
2018
PID:
20.500.12556/DKUM-71975
UDC:
004.434:004.8(043.2)
COBISS.SI-ID:
21904918
NUK URN:
URN:SI:UM:DK:WZB22N6Q
Publication date in DKUM:
07.11.2018
Views:
1960
Downloads:
187
Metadata:
Categories:
KTFMB - FERI
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Licences
License:
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:
05.09.2018
Secondary language
Language:
English
Title:
Smart video surveillance using artificial intelligence
Abstract:
The diploma paper presented the field of video surveillance in the context of security and living assistance. A field of artificial intelligence was also presented; artificial intelligence as a service and technology of machine learning. Various AIaaS service providers were compared. As part of the paper, a home security video surveillance solution was developed using a microcomputer, webcam and artificial intelligence service. Its performance and test results were presented. Provided were suggestions for improvements to the home system.
Keywords:
video surveillance
,
artificial intelligence
,
Amazon Web Services
,
Raspberry Pi
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