Image processing applications on yarn characteristics and fault inspection

Abstract

New developments in machine vision and automation technologies provide more sensitive process control and quality inspection in each stage of the production line. Industry 4.0 and Image Processing techniques have been used in many areas in textile industry in last decade. Image processing techniques have been also used in textile industry on automatic detection of fiber, yarn and fabric characteristics with improved accuracy and quicker results. In this study, a machine vision system for automatic inspection of yarn bobbin and fabric abrage defect is presented. The prototype system is presented with its components. An image processing algorithm is developed and it is applied on different bobbin and fabric samples including abrage fault. The success of the given machine vision system is discussed herein.