DocumentCode :
2953258
Title :
Study on Surface Defect Vision Detection System for Steel Plate Based on Virtual Instrument Technology
Author :
Duan Xiaojie ; Duan Fajie ; Han Fangfang
Author_Institution :
State Key Lab. of Precision Meas. Technol. & Instrum., Tianjin Univ., Tianjin, China
fYear :
2011
fDate :
30-31 July 2011
Firstpage :
1
Lastpage :
4
Abstract :
This article describes a vision inspection system for the surface defects in steel plate. By the combination of computer vision and virtual instrument technology, we achieved the automatic detection and discrimination of the defects such as rust, scratches, roller imprints, and pits etc. We used the line CCD camera to capture the images of moving steel plate, transmitting to the computer by Cameralink cable, therefore defects could be displayed, printed, stored and alarmed by the mainstream development platform-LabVIEW finally. The system used a way of model design, the hardware and software upgraded easier.
Keywords :
CCD image sensors; computer vision; inspection; production engineering computing; steel industry; virtual instrumentation; LabVIEW; line CCD camera; pits; roller imprints; rust; scratches; steel plate; surface defect vision detection system; virtual instrument technology; Cameras; Charge coupled devices; Inspection; Instruments; Lighting; Production; Steel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems Engineering (CASE), 2011 International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0859-6
Type :
conf
DOI :
10.1109/ICCASE.2011.5997625
Filename :
5997625
Link To Document :
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