An improved visual inspection system using visual servo

Chuantao Zang, Koichi Hashimoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper we present an improved automatic visual inspection system. In this system, homography based visual servo is used to accurately locate the camera position and attitude so that a template matching inspection can be realized. To improve the visual servo system's performance, we propose a combination strategy of a GPU based Efficient Second-order Minimization (GPU-ESM) algorithm and a GPU based Scale Invariant Feature Transform (SIFT) algorithm. By utilizing the parallel processing capability of a GPU, system processing speed and reliability has been greatly improved. In this paper, the implementation details of the visual inspection system are presented. The performance of the proposed combination strategy is evaluated with experimental data.

Original languageEnglish
Title of host publication2010 IEEE/SICE International Symposium on System Integration
Subtitle of host publicationSI International 2010 - The 3rd Symposium on System Integration, SII 2010, Proceedings
Pages13-18
Number of pages6
DOIs
Publication statusPublished - 2010 Dec 1
Event3rd International Symposium on System Integration, SII 2010 - Sendai, Japan
Duration: 2010 Dec 212010 Dec 22

Publication series

Name2010 IEEE/SICE International Symposium on System Integration: SI International 2010 - The 3rd Symposium on System Integration, SII 2010, Proceedings

Other

Other3rd International Symposium on System Integration, SII 2010
CountryJapan
CitySendai
Period10/12/2110/12/22

ASJC Scopus subject areas

  • Control and Systems Engineering

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