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Title:
UPORABA TEHNOLOGIJE IDENTIFIKACIJE RF V PODPORNEM ŽIVLJENJSKEM OKOLJU
Authors:
ID
Baler, Mihael
(Author)
ID
Kačič, Zdravko
(Mentor)
More about this mentor...
Files:
VS_Baler_Mihael_2015.pdf
(2,42 MB)
MD5: C10791B3730CC4358F8F76EE97A9FA90
Language:
Slovenian
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V diplomskem delu smo predstavili izvedbo funkcionalnosti v podpornem življenjskem okolju, ki s pomočjo tehnologije RFID (radiofrekvenčna identifikacija) nadzoruje stanje živil v shrambi. Funkcionalnost smo izvedli na platformi Raspberry pi, na kateri je izvajana programska koda, ki v okviru podpornega življenjskega okolja predstavlja nadzorno enoto. Tehnologijo radiofrekvenčne identifikacije smo uporabili pri pridobivanju podatkov s čitalcem v simulirani shrambi in značko na simuliranih izdelkih. V diplomskem delu najprej predstaviljamo podporno življenjsko okolje in radiofrekvenčno identifikacijo. V drugem delu pa platformo Raspberry pi in izvedbo sistema.
Keywords:
podporna življenjska okolja
,
radiofrekvenčna identifikacija
,
raspberry pi
Place of publishing:
[Maribor
Publisher:
M. Baler
Year of publishing:
2015
PID:
20.500.12556/DKUM-55113
UDC:
621.39:681.178(043.2)
COBISS.SI-ID:
19388438
NUK URN:
URN:SI:UM:DK:ZFDQ3CWG
Publication date in DKUM:
12.11.2015
Views:
1416
Downloads:
104
Metadata:
Categories:
KTFMB - FERI
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Vancouver
:
BALER, Mihael, 2015,
UPORABA TEHNOLOGIJE IDENTIFIKACIJE RF V PODPORNEM ŽIVLJENJSKEM OKOLJU
[online]. Bachelor’s thesis. Maribor : M. Baler. [Accessed 14 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=55113
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Secondary language
Language:
English
Title:
RF IDENTIFICATION IN SUPPORTIVE LIVING ENVIRONMENT
Abstract:
This thesis presents the implementation of the functionality of the supportive living environment that uses RFID technology (radio frequency identification) to control the condition of the food in the pantry. Functionality was carried out on the platform Raspberry pi, at which it is carried out the program code that constitutes a control unit within the supporting living environment. RFID technology was used to obtain data from the reader in a simulated pantry and as a badge on simulated products. The first part of the thesis presents the supportive living environment and RFID. The second part presents the platform Raspberry Pi and the implementation of the system.
Keywords:
Supportive living environment
,
radio-frequency identification
,
raspberry pi
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