Algorithm for Detecting Surface Defects in Hot-Rolled Sheet Metal for Technical Vision Systems

The work presents the results of developing an algorithm for detecting surface defects in hot-rolled metal sheets for technical vision systems implementing the method of optical (laser) triangulation. The detection algorithm is implemented for a technical vision system based on a vision camera and a linear laser source. The results of experimental modeling are provided to determine the parameters of the optical detection scheme that meets the technological requirements of metal production. The experimental validation results of the detection algorithm for determining the sizes and locations of volumetric and planar surface defects are shown