Translator Disclaimer
Paper
2 May 2006 Online aptitude automatic surface quality inspection system for hot rolled strips steel
Author Affiliations +
Proceedings Volume 6042, ICMIT 2005: Control Systems and Robotics; 60421Y (2006) https://doi.org/10.1117/12.664636
Event: ICMIT 2005: Merchatronics, MEMS, and Smart Materials, 2005, Chongqing, China
Abstract
Defects on the surface of hot rolled steel strips are main factors to evaluate quality of steel strips, an improved image recognition algorithm are used to extract the feature of Defects on the surface of steel strips. Base on the Machine vision and Artificial Neural Networks, establish a defect recognition method to select defect on the surface of steel strips. Base on these research. A surface inspection system and advanced algorithms for image processing to hot rolled strips is developed. Preparing two different fashion to lighting, adopting line blast vidicon of CCD on the surface steel strips on-line. Opening up capacity-diagnose-system with level the surface of steel strips on line, toward the above and undersurface of steel strips with ferric oxide, injure, stamp etc of defects on the surface to analyze and estimate. Miscarriage of justice and alternate of justice rate not preponderate over 5%.Geting hold of applications on some big enterprises of steel at home. Experiment proved that this measure is feasible and effective.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jin Lin, Zhi-jiang Xie, Xue Wang, and Nan-Nan Sun "Online aptitude automatic surface quality inspection system for hot rolled strips steel", Proc. SPIE 6042, ICMIT 2005: Control Systems and Robotics, 60421Y (2 May 2006); https://doi.org/10.1117/12.664636
PROCEEDINGS
6 PAGES


SHARE
Advertisement
Advertisement
Back to Top