Identification of Influence Parameters and Dependencies on the Illumination of Machine Vision Systems for Robots

Machine vision systems need to cope with harsh environmental conditions, when used for guiding robots. To increase the reliability of these systems, they are either shielded from their environment or highly advanced, using sophisticated mathematical algorithms. In this paper the effects of external...

Full description

Saved in:
Bibliographic Details
Published inAdvanced Materials Research Vol. 1140; pp. 408 - 415
Main Authors Brückmann, Nicolas, Richter, Christoph, Berger, Simon, Villarroel, Miguel, Biehle, Patrick, Reinhart, Gunther
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.08.2016
Subjects
Algorithms
Cameras
Illumination
Machine vision
Mathematical analysis
Parameter identification
Parameters
Robots
Vision systems
Illumination
Object Recognition
Optical
Online AccessGet full text

Cover

More Information
Summary:Machine vision systems need to cope with harsh environmental conditions, when used for guiding robots. To increase the reliability of these systems, they are either shielded from their environment or highly advanced, using sophisticated mathematical algorithms. In this paper the effects of external illumination on machine vision systems are investigated. For this the pose and the brightness of the external illumination and the internal illumination of the camera and its exposure time are varied. In a next step the correlation between the parameters of the external illumination and reliability of the machine vision system is analysed. Finally requirements are derived for further development of machine vision systems.
Bibliography:Selected, peer reviewed papers from the 2016 WGP Congress, September 5-6, 2016, Hamburg, Germany
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISBN:9783038356424
3038356425
ISSN:1022-6680
1662-8985
1662-8985
DOI:10.4028/www.scientific.net/AMR.1140.408