Apply the Segmentation technology of Solomon SolVision's AI image platform to build an AI learning module to automatically learn and detect the characteristics and location of crawling glue and overflowing glue. Combined with data augmentation technology, simulate the possible situations of adhesive overflow, so that AI can learn more feature patterns to improve accuracy. On the other hand, increasing the number of correct categories can improve the recognition strength and effectively reduce the interference of environmental factors.