Fault Detection in Textile Web Materials using Machine Vision Technique
نویسنده
چکیده
ct such as color or width inconsistencies, slubs, broken ends, etc. The tests on the quality of yarns are usually performed at the output of spinning-mills. Quality test runs for looms and knitting machines require interruption of the weaving process. This interruption is not practically feasible for the machines that are intended for large production runs of fabric rolls. The quality test is carried out in weaving machines using existing methods which generally produces unacceptable results. These test runs tend to be smaller and may not register recurring fabric defects that are generated due to sinusoidally occurring inconstancies in the weaving machines. The weaving irregularities generated in the weaving machines due to the change in operating conditions (temperature, humidity, etc.) also results in various fabric defects independ quality. 3. Fabric Defect Inspection Methods 3.1 Traditional Inspection The traditional inspection of the fabric fault is carried out by Human inspections [5]. The fabric produced from the weaving machines is about 1.5-2 meters wide, and rolls out at the speed of 0.3-0.5 meters per minute. When a human inspector notices a defect on the moving fabric, he stops the motor that rotates the fabric roll, records the defect with its location and starts the motor again. 3.2 Automation for Inspection The automated fabric inspection system is economically attractive when reduction in personnel cost and associated benefits are considered. The architecture of a typical
منابع مشابه
Machine Vision Inspection of Web Textile Fabric
The paper describes instrumentation which uses machine vision to inspect rolls of web textile fabric in real time. This involves detection of "message" signals arising from defects buried in noise caused by fabric structure. Analogy with the detection of targets in radar and sonar is exploited to provide effective signal processing. The hardware implementation achieves efficiency with economy b...
متن کاملReal Time Automated Fabric Defect Detection System using Microcontroller
In a Least Developed Country (LDC) like Bangladesh where the textile is the main core of our economy; still there is a major drawback in this sector which is the defect detection of the fabric. In the manual fault detection system with highly trained inspectors, very less percentage of the defects are being detected in upon fabrics in the textile industries. But a real time automatic system can...
متن کاملFabric defect inspection system using neural network
In a Least Developed Country (LDC) like Bangladesh where the textile is the main core of the economy, there is a major drawback in this sector which is the defect detection of the fabric. In the manual fault detection system with highly trained inspectors, very less percentage of the defects is being detected in upon fabrics in the textile industries. But a real time automatic system can increa...
متن کاملFault Detection of Plain Circular Knitted Fabrics Using Wavelet Transform
Quality control of textile products is an important stage in textile industries. To this end, the conventional method in fault detection is human inspection. In the present work, Wavelet transform was applied on images of simple circular knitted fabrics to diagnose five regular defects. The results showed that the method applied was accurate and fast in addition to being capable of determining ...
متن کاملFault Detection of Plain Circular Knitted Fabrics Using Wavelet Transform
Quality control of textile products is an important stage in textile industries. To this end, the conventional method in fault detection is human inspection. In the present work, Wavelet transform was applied on images of simple circular knitted fabrics to diagnose five regular defects. The results showed that the method applied was accurate and fast in addition to being capable of determining ...
متن کامل