• Journal of the Korean Society for Precision Engineering
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• v.20 no.9
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• pp.92-99
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• 2003

Quality inspection of textile products is an important problem for fabric manufacturers. This paper presents an automatic vision-based system for quality control of web textile fabrics. Typical web material is 1-3m wide and is driven with speeds ranging from 20m/min to 200m/min. At the present, the quality assessment procedures are performed manually by expert. But worker can not detect more than 60％ of the present defect and inspect the fabric if moving faster than 30m/min. To increase the overall quality and homogeneity of textile, an automated visual inspection system is needed fur the productivity. However, the existing inspection system are too expensive to purchase for small companies. In this paper, the proposed PC based real-time inspection algorithm gives low cost textile inspection system, high detection rate with good accuracy and low rate of false alarms. The method shows good results in the detection of several types of fabric defects.

• Proceedings of the KIEE Conference
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• 1988.07a
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• pp.959-962
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• 1988

This paper describes an automatic visual inspection system for fabric defects based on pattern recognition techniques. The inspection for fabric defects can be separated into three sequences of operations which are the detection of fabric defects[1], the classification of figures of fabric defects, and the classification of fabric defects. Comparing projections of defect-detected images with the predefined complex, the classification accuracy of figures of fabric defects was found to be 95.3 percent. Employing the Bayes classifier using cluster shade in SGLDM and variance in decorrelation method as features, the classification accuracy of regional figure defects was found to be 82.4 percent. Finally, some experimental results for line and dispersed figures of fabric defects are included.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.21 no.6
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• pp.22-29
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• 2022

In this study, an automatic marking system for fabric inspection machines was developed. The main objectives of the study were to promote intelligence and automation for the inspection process, as well as to increase textile industrial productivity. Generally, when a worker manually inspects and marks a fabric, human error and reduced efficiency are unavoidable. To overcome these problems, we developed an automatic marking system that uses robots. This system incorporates a vision camera to automatically recognize defects, and an optical fiber sensor to detect the side of the fabric. To verify the performance, the control system sends a command directly to the robot to mark the fabric. Finally, the actual production confirmed that the proposed system could perform the desired motion.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.2 no.1
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• pp.89-93
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• 2002

This paper introduces a vision-based on-line fabric inspection methodology of woven textile fabrics. Current procedure for determination of fabric defects in the textile industry is performed by human in the off-line stage. The advantage of the on-line inspection system is not only defect detection and identification, but also 벼ality improvement by a feedback control loop to adjust set-points. The proposed inspection system consists of hardware and software components. The hardware components consist of CCD array cameras, a frame grabber and appropriate illumination. The software routines capitalize upon vertical and horizontal scanning algorithms characteristic of a particular deflect. The signal to noise ratio (SNR) calculation based on the results of the wavelet transform is performed to measure any deflects. The defect declaration is carried out employing SNR and scanning methods. Test results from different types of defect and different style of fabric demonstrate the effectiveness of the proposed inspection system.

• Science of Emotion and Sensibility
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• v.11 no.2
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• pp.207-214
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• 2008

The inspection processing is for reducing loss which occurs fault because of fabric appearance. Up to now inspection machine which is used from inspection process is classified with the macrography inspection machine and the full automatic inspection machine. The macrography inspection machine is low price and efficient equipment but does not record information of fault. On the other side, the automatic inspection machine is high price, also the detection rate of one changes with effect of environment variable but able to record information of fault. It developed semi-automatic cloth inspection machine with the weak point of the macrography inspection machine and the automatic inspection machine was complemented. And when it uses information which was collected by semi-automatic cloth inspection machine, the loss rate of original fabric is able to calculate. So sewing factories will be able to predict fabric consuming quantity.

• Journal of the Korean Society of Costume
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• v.65 no.2
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• pp.62-74
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• 2015

The purpose of this research is to analyse the process of development and verification of 'National Competency Standards' of Hanbok production, which was carried out in 2013 for the fashion industry. As the result of this research, the definition of the duty in Hanbok production is 'to conduct a series of step-by-step processes of planning and developing fabric and design, then making pattern, cutting fabric and sewing.' The competency unit for Hanbok production is analyzed in 10 categories: analysis of market trends, design plan, production and manipulation of fabric, production process plan, sample making, pattern making, cutting out, sewing, finishing sewing, inspection of the product quality. Competency unit elements of each competency unit are as follows. 1) analysis of market trends: to research market trend resources, to analyse consumers' buying trend, to analyse industry changes, 2) design plan: to develop design, to plan fabrication, to draw flats, 3) production and manipulation of fabric: to develop fabric planning, to prepare fabric manipulation, to conduct fabric manipulation, 4) production process plan: to grasp design, to plan sewing method, to prepare a specification sheet, 5) sample making: to make a sample pattern, to cut sample fabrics, to sew sample, to finish sample making, 6) pattern making: to measure body, to make production pattern, to adjust production pattern, 7) cutting out: to care fabrics, to lay out patterns, to cut out fabrics, 8) sewing: to sew a garment, to sew a lining, to attach a lining, 9) finishing sewing: to neaten edges, to attach trims, to press to finish, 10) inspection of the product quality: to confirm correspondence with the specification sheet, to inspect appearance.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.49 no.5
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• pp.235-240
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• 2000

A low cost lighting system for line-scan cameras has been developed with 3-phase power. When exposure time of line-scan camera is shorter than fluctuation period of illumination, the average gray value of each acquired 1-D image varies. Detecting defects on the objects's surface under such illuminating environment is very difficult. The proposed lighting system is composed of low-cost fluorescent lights based on 3-phase power. The specially designed lighting pack and the properly selected lighting position enable to get the rippleless lighting. The principle of the proposed lighting system has been explained analytically. The lighting system has been tested for fabric inspection with line-scan camera and it's efficacy has been proved.

• Journal of Fashion Business
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• v.5 no.4
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• pp.118-126
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• 2001

The purpose of this study, which is related with local women's jacket Manufacturing companies in Seoul and Kyeong-Ki areas, is for the research of general problems, badness in those companies, noticing products' quality level, and full solutions of luxurious sewing technology and high quality products. The results of this study are as follows. 1. Most women's jacket manufacturing companies are poor and producing system is on a changing trend to the pair system. 2. A wage level of inspectors are low compared with working experiences and working period is short compared with working experiences. So, the separation rate was high. 3. The inspection form is full style, but some companies are just inspecting samples or frequent check. 4. Insperation method is highly at the rate of self-inspection and head office inspection. There are inspects in their factories and companies, but some companies don't. 5. There are lots of badness styles such as shrinking of fabric, contaminating of product, dying of fabric, pressing. 6. A work standard, workers' technical education, and giving purposes to workers are demanded for avoiding of products badness.

• Fashion & Textile Research Journal
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• v.23 no.1
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• pp.129-141
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• 2021

This study investigated fabrics, washing and cares, design, pattern, subsidiary materials, and sewing methods with a focus on the functional outers using moisture-permeable waterproof fabric as a shell; in addition, each element was analyzed for differences depending on fabric type. The characteristics of 34 outers were investigated through labels, online product introductions, visual inspection, observations from two experts with more than 30 years experience and wear tests. Moisture-permeable waterproof fabrics used for the outer were classified into two types; in addition, the shell of the high-density fabric and the 2 & 3-layer fabrics had different characteristics. Various fabrics, detailed designs, and three-dimensional patterns suitable for each part of the human body were used to improve functionality. In addition, various subsidiary materials and sewing methods were used to form an organic relationship. The same washing and cares, patterns and subsidiary materials were used regardless of fabric type; however, the fabric type influenced the detailed design and sewing. The outers with high-density fabric had a loose fit, short placket, e-banded cuffs, lock-stitch, and lock-stitch+binding. However, the outer with 2 & 3 layer fabric had a slim fit, hood width adjustment, zippered pockets, cuffs with tab, seamless adhesive sewing such as laminating, lock-stitch+ seam-sealing, and welding.

• Fibers and Polymers
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• v.6 no.2
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• pp.156-161
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• 2005

The gray line-profile method is introduced to find fabric density. Some patterned fabrics like stripe design as well as solid fabrics of basic weave structures are used to verify the efficiency and accuracy of the method. The approach is compared with Fourier transform method. Although the gray line-profile method is concise, it shows good results in both solid and patterned fabrics. In addition, it does not require a pre-processing or filtering technique in space or frequency domain to enhance the image suitable for the analysis. However, the approach is slightly influenced by the filter size for finding the local minimums of profile graph.