Method and system for surface crack detection of continuous casting using deep learning images

摘要

The present invention relates to a method and system for detecting longitudinal cracks in continuous casting through image learning, which improves the consistency of crack detection by image learning to improve the quality of slabs through selective mill scale inspection, (a) collecting the temperature of the metal plate in the mold in real time in the continuous casting process; (b) generating a temperature map of the metal plate in units of slabs; (c) determining whether a crack occurs in the temperature map based on deep learning; and (d) performing a detailed inspection on the corresponding slab determined to be tax-free and cracked.