Research progress on detection technology of cashmere and wool
The similarity in appearance between cashmere and sheep wool fibers has led to the phenomenon of difficulty in accurate differentiation.Therefore,the determination of the content of cashmere and sheep wool has always been a research hotspot.This ar-ticle briefly summarizes the recent advances in detection and identification methods of cashmere and sheep wool from the perspec-tive of detection technology,including microscopic method,chemical detection method,biological detection method,near-infrared spectroscopy method,and the emerging artificial intelligence image recognition method.The article focuses on the progress of convolutional neural networks,support vector machines,K-nearest neighbor algorithm,and Bayesian classification method in the research of cashmere and sheep wool within the artificial intelligence image recognition method.At the same time,the article lists the detection standards of existing technical methods,compares the inspection efficiency,detection costs,and advantages and dis-advantages of each method,providing reference for textile testing institutions and personnel to understand and choose appropriate methods.
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