This article adopts deep learning technology to establish a raw silk quality evaluation system that combines neural net-works and digital image processing methods,and uniformly completes the measurement and evaluation process of evenness,clean-liness,and cleanliness using the blackboard raw silk method.As a new type of raw silk blackboard AI assisted judgment system,it achieves traceability of the original image of the blackboard,reproducibility of inspection data,more accurate identification of raw silk defects,and can achieve intelligent,information-based,and visual inspection processes.Solved the problem of relying solely on human observation and experience evaluation in the current raw silk blackboard inspection,minimizing the influence of human factors in raw silk blackboard inspection,improving inspection efficiency,and ensuring fair results.
关键词
生丝黑板/智能化/自动化/图像识别/AI辅助
Key words
raw silk blackboard/intelligence/automation/image recognition/AI assisted
维普
万方数据