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Title:Pametna avtomatizacija vstopa v dom na osnovi interneta stvari z uporabo Raspberry Pi : diplomsko delo
Authors:ID Jelen, Ana (Author)
ID Mlakar, Uroš (Mentor) More about this mentor... New window
Files:.pdf UN_Jelen_Ana_2021.pdf (1,78 MB)
MD5: 2973AEB9EAC8EA0F44950677D578E774
PID: 20.500.12556/dkum/87f8189b-f1d1-4756-bfd8-8c4c81f96f19
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V zaključni nalogi s pomočjo platforme Raspberry Pi razvijemo in implementiramo lasten avtomatiziran sistem za vstop v dom. Osnovne dogodke zaznamo s pomočjo kamere in algoritma zaznave gibanja. Primerjamo in testiramo dve metodi zaznave gibanja na osnovi modela Gaussovih mešanic in Bayesove verjetnosti. Vstop v dom poteka na osnovi dvostopenjske avtentikacije, kjer se preverjata biometrična in brezkontaktna identifikacija. Biometrično identifikacijo izpolnimo že pri 80 % gotovosti prepoznave obraza, brezkontaktno pa s pomočjo zaznane naprave, ki pripada določenemu profilu. Z uporabo tehnologije interneta stvari avtomatiziran sistem samodejno upravlja z lučmi v prostoru glede na sončni vzhod in zahod, predvaja glasbo in regulira temperaturo zraka glede na letni čas. Celotni sistem testiramo 30 dni, kjer je bila odzivnost sistema manjša kot 5 sekund in uspešnost odločanja sistema večja kot 90 %. Uporabo sistema dodatno podpremo z enostavno namizno aplikacijo, ki uporabniku omogoča ogled video prenosa v živo, konfiguracijo osebnih profilov, ročno upravljanje vhodnih vrat in pregled zgodovine dogodkov.
Keywords:internet stvari, avtomatizacija, zaznava gibanja, prepoznava obraza, Raspberry Pi
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[A. Jelen]
Year of publishing:2021
Number of pages:IX, 38 f.
PID:20.500.12556/DKUM-80610 New window
UDC:004.93\'1(043.2)
COBISS.SI-ID:88081667 New window
Publication date in DKUM:18.10.2021
Views:1332
Downloads:77
Metadata:XML DC-XML DC-RDF
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:22.09.2021

Secondary language

Language:English
Title:Iot based smart home entrance automation using Raspberry Pi
Abstract:The thesis describes the development and implementation of an automated home entrance system, based on the Raspberry Pi platform. System primary events are detected by a camera and a motion detection algorithm. We compare and test two motion detection methods based on the Gaussian mixture model and the Bayesian probability. Home entrance is based on two-factor authentication where biometric and contactless identification is verified. Authentication is fulfilled with biometric identification in the case of 80 % certainty of face recognition and with the help of a contactless detected device that belongs to a specific profile. With the support of Internet of Things technology, the automated system automatically controls the lights in the room concerning sunrise and sunset, plays music, and regulates the air temperature according to the time of year. We tested the entire system for 30 days, where the system's responsiveness was lower than 5 seconds, and the decision-making efficiency of the system was greater than 90 %. The use of the system is supported with the desktop application that allows the user to watch live video streaming, configure personal profiles, manually operate the front door, and view event history.
Keywords:internet of things, automation, motion detection, face recognition, Raspberry Pi


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