A Vision-Based Method For Analyzing Yarn Evenness

Yarn evenness is a key factor in its performance and in the properties of the material produced from the yarn. The presence of defects in a yarn will result in the deterioration in the quality and usability of the yarn. While many methods are available to ascertain the yarn evenness many of them are tedious and dependent on the operator for its results while others though less subjective and of high speed are prohibitively expensive. This paper outlines a method which uses a cost-effective image capture device and image processing algorithms to process the captured images generate a diameter variation plot and analyse the same to count the number of thick and thin places in the yarn.