Stereo vision for the measurement of turning tool size

Pei Ju Chiang, Geng Hao Ping

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

3 Citations (Scopus)

Abstract

During computer numerical control (CNC) machining, interference and collisions can occur due to discrepancies between simulations and actual operating conditions, which can result in time loss and increased costs. The aim of this study was to measure the size of the tools used in CNC machines using automatic sensors in order to determine whether discrepancies exist between simulations and actual machining resulting from human negligence. Using a 3D stereo vision system, we obtained images of turning tools and extracted the required information related to tool features through image processing. Epipolar geometry was applied to simplify the dimensions of the feature search, and the theory and methods of object reconstruction in stereo vision systems were used to obtain the size of the turning tool.

Original languageEnglish
Title of host publication2013 IEEE 6th International Workshop on Computational Intelligence and Applications, IWCIA 2013 - Proceedings
Pages173-177
Number of pages5
DOIs
Publication statusPublished - 2013 Dec 16
Event2013 IEEE 6th International Workshop on Computational Intelligence and Applications, IWCIA 2013 - Hiroshima, Japan
Duration: 2013 Jul 132013 Jul 13

Publication series

Name2013 IEEE 6th International Workshop on Computational Intelligence and Applications, IWCIA 2013 - Proceedings

Conference

Conference2013 IEEE 6th International Workshop on Computational Intelligence and Applications, IWCIA 2013
CountryJapan
CityHiroshima
Period13-07-1313-07-13

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications

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