Concept of automated load detection for de-palletizing using depth images and RFID data

In this paper, we present a novel concept for the detection of loading positions of parcels or bins on a pallet to enable automated order picking using knowledge about the packing pattern model. The approach comprises (1) a new combination of pattern model data and PMD-camera-generated point clouds...

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Bibliographic Details
Published in:2011 IEEE International Conference on Control System, Computing and Engineering pp. 249 - 254
Main Authors: Prasse, C., Skibinski, S., Weichert, F., Stenzel, J., Muller, H., ten Hompel, Michael
Format: Conference Proceeding
Language:English
Published: IEEE 01.11.2011
Subjects:
3D Imaging
Cameras
Computer Vision
Contour check
Data models
Data storage management
De-Palletizing
Frequency measurement
Internet of Things
Load modeling
Loading
PMD camera
Radiofrequency identification
RFID
Semantic compression
ISBN:9781457716409, 1457716402
Online Access:Get full text
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Summary:In this paper, we present a novel concept for the detection of loading positions of parcels or bins on a pallet to enable automated order picking using knowledge about the packing pattern model. The approach comprises (1) a new combination of pattern model data and PMD-camera-generated point clouds and (2) a novel concept of RFID data management using a Binary data on Tag/Schema on Net and semantic coding approach. The latter enables the use of additional services like storing of loading positions on auto-id devices (RFID-tags) in a wider concept of the Internet of Things, while the former presents an alternative approach in the context of contour check and position detection of unit loads for automated de-palletizing.
ISBN:9781457716409
1457716402
DOI:10.1109/ICCSCE.2011.6190531