The automated surface inspection system for hot slab

The inspection for hot slab is an important issue to quality operators in steel industry. This paper introduces the automated inspection system for hot slab using interlaced lighting technology. We extract the depth information from surface images so that it make easier to overcome the unclear and noisy backgrounds and detect defects. The test results show 100% and 86% for crack and corner burst defects respectively. The false detection rate is less than 0.1% for each defect. The results imply that the proposed inspection system is very effective and promising method for inspecting hot slab.

[1]  Ignacio Alvarez,et al.  Industrial online surface defects detection in continuous casting hot slabs , 2009, Optical Metrology.

[2]  Guillermo Ojea,et al.  On-Line Metrology with Conoscopic Holography: Beyond Triangulation , 2009, Sensors.

[3]  Sean R Eddy,et al.  What is dynamic programming? , 2004, Nature Biotechnology.

[4]  Ajay Kumar,et al.  Defect detection in textured materials using Gabor filters , 2000, Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129).

[5]  Jaume Escofet,et al.  Detection of local defects in textile webs using Gabor filters , 1998 .

[6]  Jaume Escofet,et al.  Detection of local defects in textile webs using Gabor filters , 1996, Other Conferences.

[7]  Rafael C. González,et al.  Local Determination of a Moving Contrast Edge , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.