METHOD OF FORMING A TRAINING MODEL, TRAINING MODEL, SURFACE DEFECT CONTROL METHOD, STEEL PRODUCTION METHOD, PASS/FAIL DETERMINATION METHOD, GRADE DETERMINATION METHOD, SURFACE DEFECT DETERMINATION PROGRAM, COMPLIANCE PROGRAM ACTIONS, DETECTION SYSTEM AND EQUIPMENT FOR STEEL PRODUCTION Russian patent published in 2023 - IPC G01N21/892 G06T1/40 G06T7/40 

FIELD: computer engineering; applied geophysics.

SUBSTANCE: technical result consists in increasing the accuracy of detecting periodic defects in steel production. The technical result is achieved due to the fact that the learning model is formed by machine learning using a training image, which is an image that displays the distribution of the defective area on the steel surface; the training image includes a defect map of a uniform image size and the presence/absence of periodic defects preassigned to the corresponding defect map. A defect map, which is an image showing the distribution of a defective area on the steel surface and having a uniform image size, is an input parameter for the trained model, and a value related to the presence/ absence of periodic defects in the considered defect map is an output value.

EFFECT: increasing the accuracy of detecting periodic defects in steel production.

20 cl, 27 dwg