Uporaba tehnologije identifikacije RF v podpornem življenjskem okolju

diplomsko delo

Mihael Baler (Author), Zdravko Kačič (Mentor)

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;

Data

Language:	Slovenian
Year of publishing:	2015
Typology:	2.11 - Undergraduate Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	M. Baler
UDC:	621.39:681.178(043.2)
COBISS:	19388438
Views:	941
Downloads:	76
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	RF IDENTIFICATION IN SUPPORTIVE LIVING ENVIRONMENT
Secondary 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.
Secondary keywords:	supportive living environment;radio-frequency identification;raspberry pi;
URN:	URN:SI:UM:
Type (COBISS):	Bachelor thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Elektrotehnika
Pages:	IX, 45 f.
ID:	9055838