Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/60372
Type of publication: research article
Type of publication (PDB): Straipsnis recenzuojamoje užsienio tarptautinės konferencijos medžiagoje / Article in peer-reviewed foreign international conference proceedings (P1d)
Field of Science: Informatika / Informatics (N009);Informatikos inžinerija / Informatics engineering (T007)
Author(s): Ivanovska, Tatyana;Reich, Simon;Bevec, Robert;Gosar, Ziga;Tamošiūnaitė, Minija;Ude, Ales;Wörgötter, Florentin
Title: Visual inspection and error detection in a reconfigurable robot workcell: an automotive light assembly example
Is part of: VISIGRAPP 2018: Computer vision, imaging and computer graphics theory and applications: 13th international joint conference, 27-29 January 2018, Funchal, Madeira, Portugal: proceedings. Vol. 5 / edited by Francisco Imai, Alain Tremeau and Jose Braz. Setúbal : Science and Technology Publications, Lda., 2018
Extent: p. 607-615
Date: 2018
Keywords: Robotic cell;Monitoring;Error detection;Computer vision
ISBN: 9789897582905
Abstract: Small and medium size enterprises (SMEs) often have small batch production. It leads to decreasing product lifetimes and also to more frequent product launches. In order to assist such production, a highly reconfigurable robot workcell is being developed. In this work, a visual inspection system designed for the robot workcell is presented and discussed in the context of the automotive light assembly example. The proposed framework is implemented using ROS and OpenCV libraries. We describe the hardware and software components of the framework and explain the system’s benefits when compared to other commercial packages
Internet: https://hdl.handle.net/20.500.12259/60372
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

Files in This Item:
marc.xml6.98 kBXMLView/Open

MARC21 XML metadata

Show full item record
Export via OAI-PMH Interface in XML Formats
Export to Other Non-XML Formats


CORE Recommender

Page view(s)

84
checked on May 1, 2021

Download(s)

11
checked on May 1, 2021

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.