Abstract:

Aiming at the problem that the position of the broken yarn is difficult to be obtained in the process of detecting the yarn breakage, the spindles detection system based on image processing is studied. An industrial camera mounted on a roving car was used to record the image of the spinning section during the roving of the spinning frame. To get a clear character image, the mark of spindles on the beam of the spinning machine was identified by position cutting, morphological processing, character segmentation. And then the character image was classified by convolution neural network to export the number of broken yarn spindle. By mapping the structure of the neural network, it is shown that the feature map of the convolution layer is 4, the size of the sub-sampling pool pooling matrix is 2, the number of iterations is 300, the accuracy rate of the neural network is over 97%, and the  identification of an image spindle uses 1.152 s. The system could recognize the positionof yarn breakage and output the signals.

Key words: position reccognition of spinning, convolution neural network, broden yarn, image processing