We present a novel complete system for machine-aided inventory. Our system covers automatic product identification using RFID, localization based on ambient sensors, the enrichment of raw RFID data with product information from ERP (Enterprise Resource Planning) backend systems and real-time augmented reality (AR) visualization. We have integrated all of these components into a real-world demonstrator resembling a supermarket and successfully presented the system in the scope of an industry workshop.
%0 Conference Paper
%1 ambisense2008integrated-scenario-rfid-systech
%A Schairer, Timo
%A Weiss, Christian
%A Vorst, Philipp
%A Sommer, Jürgen
%A Hoene, Christian
%A Rosenstiel, Wolfgang
%A Straßer, Wolfgang
%A Zell, Andreas
%A Carle, Georg
%A Schneider, Patrick
%A Weisbecker, Anette
%B 4th European Workshop on RFID Systems and Technologies (RFID SysTech 2008)
%C Freiburg, Germany
%D 2008
%I VDE Verlag
%K Bluetooth RFID UHF WLAN WiFi ambient inventory long-range mobile passive robot sensors supermarket
%N 209
%T Integrated Scenario for Machine-Aided Inventory Using Ambient Sensors
%U http://www.ra.cs.uni-tuebingen.de/publikationen/2008/ambisense2008integrated-scenario-rfid-systech.pdf
%X We present a novel complete system for machine-aided inventory. Our system covers automatic product identification using RFID, localization based on ambient sensors, the enrichment of raw RFID data with product information from ERP (Enterprise Resource Planning) backend systems and real-time augmented reality (AR) visualization. We have integrated all of these components into a real-world demonstrator resembling a supermarket and successfully presented the system in the scope of an industry workshop.
%@ 978-3-8007-3106-0
@inproceedings{ambisense2008integrated-scenario-rfid-systech,
abstract = { We present a novel complete system for machine-aided inventory. Our system covers automatic product identification using RFID, localization based on ambient sensors, the enrichment of raw RFID data with product information from ERP (Enterprise Resource Planning) backend systems and real-time augmented reality (AR) visualization. We have integrated all of these components into a real-world demonstrator resembling a supermarket and successfully presented the system in the scope of an industry workshop. },
added-at = {2010-06-10T13:56:21.000+0200},
address = {Freiburg, Germany},
author = {Schairer, Timo and Weiss, Christian and Vorst, Philipp and Sommer, J\"urgen and Hoene, Christian and Rosenstiel, Wolfgang and Stra{\ss}er, Wolfgang and Zell, Andreas and Carle, Georg and Schneider, Patrick and Weisbecker, Anette},
biburl = {https://www.bibsonomy.org/bibtex/20d77da8687672d17261e054d870d33c5/fifo79},
booktitle = {4th European Workshop on RFID Systems and Technologies (RFID SysTech 2008)},
interhash = {0211e116e4765a5eefe42b156b819e08},
intrahash = {0d77da8687672d17261e054d870d33c5},
isbn = {978-3-8007-3106-0},
keywords = {Bluetooth RFID UHF WLAN WiFi ambient inventory long-range mobile passive robot sensors supermarket},
month = {June 10-11},
number = 209,
publisher = {VDE Verlag},
series = {ITG-Fachbericht},
timestamp = {2010-06-10T13:56:21.000+0200},
title = {Integrated Scenario for Machine-Aided Inventory Using Ambient Sensors},
url = {http://www.ra.cs.uni-tuebingen.de/publikationen/2008/ambisense2008integrated-scenario-rfid-systech.pdf},
year = 2008
}