Stereo vision for the measurement of turning tool size

Author

Pei-Ju Chiang ; Geng-Hao Ping

Author_Institution

Dept. of Mech. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan

fYear

2013

fDate

13-13 July 2013

Firstpage

173

Lastpage

177

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.

Keywords

computer vision; computerised instrumentation; computerised numerical control; feature extraction; image reconstruction; machine tools; production engineering computing; size measurement; stereo image processing; turning (machining); 3D stereo vision system; CNC machining; automatic sensors; computer numerical control machining; epipolar geometry; feature search dimensions; image processing; object reconstruction; tools feature extraction; turning tool size measurement; Cameras; Computer numerical control; Image edge detection; Stereo vision; Three-dimensional displays; Turning; Automatic measurement; Image processing; Stereo vision; Turning tool;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence & Applications (IWCIA), 2013 IEEE Sixth International Workshop on

Conference_Location

Hiroshima

ISSN

1883-3977

Print_ISBN

978-1-4673-5725-8

Type

conf

DOI

10.1109/IWCIA.2013.6624809

Filename

6624809