affects the quality of cloth and remember long
problem (Hyung Taek Choi, Sung Hoon Jeong,
2001). The Intelligent Cloth Inspection Machine
through real-time communication between the
drive and the IPC, as well as coordination tension
sensor in a timely manner to control the motor
speed, so that the tension of the cloth process
requirements:
II. Fabric with a certain laxity by cloth inspection
table;
III. It sometimes requires motor reversal, in order to
find the defect quickly, then it should still
maintain fabric original relaxed state;
IV. It finds defects or faults when fast braking.
(2) Traditional Cloth Inspection Machines are both
fabric comptroller function, but mostly Inspection
Machine uses a drive unit, the fabric pulled
directly from the drive roller inspection table cloth
through, so easy to cause the fabric stretched so
that the comptroller is not accurate, to thin ,
especially elastic fabric. In demanding situations,
the use of loose type transmission, enabling the
fabric to maintain a certain slack in cloth
inspection process to ensure that the Comptroller,
accurate defect detection to meet the
requirements:
① accurate record length
② normal fabric, latitude and longitude lines without
distortion.
Traditional machines for the introduction of a single
motor drag tension transmission; in order to achieve
no tension control, transmission control scheme was
redesigned by controlling the main drag of the motor
speed difference from the two to achieve a loose style
fabric inspection.
(3) Defects of Traditional Cloth Inspection Machine
are often found by a manual operation, fewer
defects detected, slow-mortem cloth, and fabric
inspection work will cause fatigue over a certain
time, then these factors can cause the error
detection, the problem of the leakage test. The
image acquisition and analysis system of
Intelligent Cloth Inspection Machine in the cloth
inspection process is completed by the embedded
real-time system control image acquisition and
complete defect detection, and then to collect the
images and defect detection situation through
Ethernet port to the industrial machine, industrial
machine interface displays real-time images
captured and defecting detection of cases, there
will be operation buttons for Inspection Machine,
such as start, reverse, brake. Whereby the cloth
inspection speed, quality, efficiency is greatly
improved.
4 CONCLUSIONS
With China's accession to WTO, relationships of the
domestic textile manufacturers and international
famous brand clothing sales business have become
more closely, while fabric quality problems and
disputes are more and more accurate and reliable
testing methods and equipment of fabric close related
to the fate of the textile industry and the
competitiveness of the international market.
Requiring the use of Intelligent Cloth Inspection
Machine, on the one hand to improve the defect
detection rate, accuracy, on the other hand to improve
labor productivity, reduce the number of
employment; to adapt to WTO competition on the
textile, printing and dyeing industries.
Intelligent Cloth Inspection Machine, it can
replace the manual, automatic fabric inspection and
grading, cut open, to defect to play tag. Intelligent
Cloth Inspection Machine is controlled by the IPC,
relied on image acquisition and analysis system fabric
inspection, the general fabric inspection speeds of up
to 120 m / min, defects were found in the screen that
can display and reporting, speed is quick and
Intelligent Cloth Inspection Machine can adapt to the
high frequency of defects or new defect infrequent.
Application of Intelligent Cloth Inspection Machine
can classify the fabric, and achieve the subject fabric
defect statistics, storage capabilities. Intelligent Cloth
Inspection Machine to automate testing the fabric of
the road, I believe that I will be for some time through
continued research efforts, intelligent inspection
technology will walk into the textile fabric
enterprises, an important part of automated form.
ACKNOWLEDGEMENTS
This research was financially supported by Beijing
Institute of Fashion Technology 2014 university
innovation team project: Integration of
electromechanical equipment test volume based on
computer vision; Item Number: 2014A-27
REFERENCES
Chung-Feng Jeffrey Kuo, 2009. Intelligence control of on-
The Overview of Intelligent Cloth Inspection Machine
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