Simulation Inspection Technology for Surface Characteristics of High-Quality Strips

To address the challenge of high rejection rates due to surface quality defects that are hard to detect with the naked eye, a comprehensive model was developed for detecting such defects and implemented a full-fledged equipment and system for surface quality inspection.Specifically, a targeted comprehensive model was formulated to identify three types of plate and strip surface quality defects.Furthermore, the latest hardware equipment and an advanced unsupervised self-learning algorithm were integrated into the detection system to enhance the identification and classification of these surface quality defects.The results demonstrate an improvement in the comprehensive detection rate and classification accuracy of surface defects from 96 % and 91 % to 98 % and 95 %, respectively.Moreover, the qualified rate of finished products has increased from 94 % to 99 %, leading to improved accuracy in defect detection and a significant decrease in false alarm rates.These findings provide a solid foundation for significantly reducing material waste and enhancing the overall quality of the production process.