Marker-based tracking in support of RFID controlled material flow systems

In this study, we present a novel approach for continuous detection, localization, and identification of parcels and bins in automated facility logistics systems. It presents a distinct departure from the traditional system design: light barriers and barcode readers are substituted by low-cost cameras and few RFID readers. By combining vision-based systems and RFID systems, this approach can compensate for the drawbacks of each respective system. For example, only the vision system is used for localization. The main part of our paper describes computer-graphics methods specific to the given problem to both track and read visual markers attached to parcels or bins. In addition, we use information from the RFID system to narrow the decision space for detection and identification. From an economic point of view, this approach can lower the costs of changing a material flow system.

[1]  Fatih Murat Porikli,et al.  Integral histogram: a fast way to extract histograms in Cartesian spaces , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[2]  R. Larsen Box-and-whisker plots , 1985 .

[3]  Mads Nielsen,et al.  Deinterlacing Using Variational Methods , 2008, IEEE Transactions on Image Processing.

[4]  Cuneyt Akinlar,et al.  A Multi-camera Vision System for Real-Time Tracking of Parcels Moving on a Conveyor Belt , 2005, ISCIS.

[5]  Vladimir A. Kulyukin,et al.  Generalized Hamming Distance , 2002, Information Retrieval.

[6]  John W. Tukey,et al.  Exploratory Data Analysis. , 1979 .

[7]  Sebastian Thrun,et al.  Probabilistic robotics , 2002, CACM.

[8]  Yunhao Liu,et al.  LANDMARC: Indoor Location Sensing Using Active RFID , 2004, Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003)..

[9]  Elgar Fleisch,et al.  Innovationspotenzial von RFID für das Supply-Chain-Management , 2005, Wirtsch..

[10]  Friedemann Mattern,et al.  Das Internet der Dinge: Ubiquitous Computing und RFID in der Praxis:Visionen, Technologien, Anwendungen, Handlungsanleitungen , 2005 .

[11]  Michael Isard,et al.  CONDENSATION—Conditional Density Propagation for Visual Tracking , 1998, International Journal of Computer Vision.

[12]  Jan Robert Nopper Analysis of the relationship between control strategy, layout complexity and performance in facility logistics , 2009 .

[13]  Peter Nyhuis,et al.  Logistic Production Operating Curves – Basic Model of the Theory of Logistic Operating Curves , 2006 .

[14]  Sanjay E. Sarma,et al.  white paper The Networked Physical World Proposals for Engineering the Next Generation of Computing, Commerce & Automatic-Identification , 2001 .

[15]  A. Meyer,et al.  Manufacturing operations in Europe:: Where do we go next? , 1998 .

[16]  Hüsnü Yenigün,et al.  2-D localization and identification based on SAW ID-tags at 2.5 GHz , 2003 .

[17]  Marc Langheinrich,et al.  The Internet of Things, First International Conference, IOT 2008, Zurich, Switzerland, March 26-28, 2008. Proceedings , 2008, IoT.