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    A Glimpse Of The Latest Development Trend Of Automated Fiber Textile Inspection In The World

    2011/1/13 15:59:00 58

    Fiber Textile Inspection

    With the emergence of global resource integration, the demand for more effective quality inspection methods has witnessed an unprecedented growth.

    In order to improve the quality of textiles, a new and more reliable method is needed to test the quality problems in the production process, thus automated inspection system arises at the historic moment.


    In the process of automation of all textile processing,

    fibre

    The automation of inspection system is the most difficult.

    Computer and scanning

    technology

    It will take decades to develop a practical, reliable and easy to operate automation level.

    The automated inspection system is designed to improve the accuracy, reliability and speed of the inspection of fabric production process, thereby reducing labor costs and improving fiber fabrics.

    quality

    At the same time, increase productivity.


    Nowadays, automated fiber inspection systems all over the world contain adaptive neural networks.

    The operator only needs to scan the system for a short period of high quality fabric, and the system can identify fabrics with relatively poor fiber quality.

    This eliminates the need for complicated routine inspection procedures.

    This has led to the formation of powerful joint computers with hundreds of specialized computer processors, ensuring the feasibility of some automated inspection systems.


    Such systems are capable of finding and enumerating defects in various fabrics, including the following fibers: grey fabrics, sheets, clothing, household fabrics, industrial fabrics, tires, finished fabrics, dyed fabrics, denim and so on.

    From this, we can get a glimpse of the development of automatic inspection technology in the world today.


    Difference between manual inspection and automatic inspection


    If the fabric is defective, the price of the textile will be reduced by 45% to 65%.

    Early accurate inspection can ensure the reduction of consumables, which is an important factor in quality assurance.

    With a visual fabric inspection system, a well-trained operator can detect all kinds of fabrics, find and identify defects accurately, and then classify them in turn.

    However, the maximum concentration of artificial energy can last for 20 to 30 minutes.

    After that, the operator will feel tired from time to time.

    The premise for such a high concentration of energy is that the fabric should be sufficiently attractive.

    The difference between manual and automatic inspection is that even if the operation is normal, the reproducibility of manual inspection is mostly less than 50%. The results of automated inspection system are more reliable and reproducible, and more objective than manual fabric inspection.


    The latest test operation guidelines in the world


    Generally speaking, fabric needs to pass 2/3 lighting mode, which is designed for reflective light and pmitted light inspection system.

    During the inspection, the lighting mode is selected according to fabric thickness, defect type and fabric process.

    In addition to light classification, you can also choose the 3 line to 6 line HD scanning system according to the width of the test. Under special circumstances, you can also use the 8 line HD scanning lens.

    The lens continues to scan the fabric to check the deviation.

    In this process, the machine is used to scan the fabric fibers. Once there is a deviation, the inspector who is one meter away from the fabric will look for the corresponding solution.

    The inspection system is controlled by the operation terminal.

    The operation terminal has detailed inspection parameters, and the necessary data is input and output by barcode reader.

    All reports will pass through the operation terminal.

    Complex image processing is completed by printed circuit board, which is developed for inspection system.

    After the machine is checked, the detected defects will be displayed on the screen for quick and convenient manual analysis.


    Online and offline integration


    This means that there are two kinds of physical automation textile inspection system in the production process.

    One is the online integration system - the test system is implanted into the real machine; the other is the online integration system, which contains the built-in fabric pmission function.

    Any kind of integration has its advantages and disadvantages.

    The advantage of the online system lies in its simple operating system and cheap machine structure, minimum floor area and low operating requirements - because the operator can operate the inspection system at the same time.

    The disadvantage is that the production machine determines the speed of inspection, so the maximum input and output speed of the inspection system can not always be dominant.

    For offline systems, the maximum inspection speed can be fully utilized.

    The disadvantage is that the extra machine structure requires special pmission drive and higher requirements for employees.


    Switzerland's latest detection system


    The existing full automatic cloth inspection system of the company in Switzerland can test the fabric at 120m/ minute speed in the offline working environment, and the defect inspection has a resolution of 0.3 millimeters.

    The test speed of the online system is 30m/ minutes, which can handle 110 to 440 centimeters of fabric width.

    The company's automatic detection system is suitable for pmitted light and reflected light.

    Some fabric defects can only be identified by projection light, while others are reflected light recognition.

    Oil stains can only be identified by reflected light, while star marks are identified by pmitted light.


    The automatic inspection system marks fabric defects with paper labels and ink.

    Apart from fabric fibers, the system can identify and repair defects.

    Basic fiber braided structure - cotton, blended cotton, wool, filament yarn, no grain fabric, denim fabric, single piece dyed fabric and monochrome fabric can be tested in the system.

    However, the system can not detect changes in color changes, jacquard fabrics, fuzz fabrics (velvet and thick flannelette) and knitted fabrics.


    The uniqueness of the automatic cloth inspection system is that it can classify defects into the matrix called fabric quality classification, which is similar to the fabric grading system for cotton fibers, which has two axes.

    The longitudinal axis represents the difference between the defects and the horizontal axis shows the length of the defect.

    The company says it is easy to distinguish between interference and non intrusive defects, and there is no possibility of omission.

    Defect data can be stored in a random database to generate user required reports.

    The optimization software of the system can improve the fabric quality.

    The initial cost of the system is US $200 thousand.

    Based on the optimization of labor saving, incision and customer oriented accuracy, the company expects the investment recovery period of the system to be one to two years.


    Germany El bit monitoring system I-TEX


    The German El bit vision system introduced the I-TEX system at the international textile machinery exhibition in Hannover, Germany.

    It is the most authoritative competitor in automated optical inspection system.

    The I-TEX system can be detected at the speed of 300m/min, and the width of controllable fiber fabric is 5m.

    The software program of the system is designed to imitate the human visual system, and it can monitor the regular change patterns of normal fabrics and defective fabrics.

    These changes will be analyzed for multiple inspection procedures to distinguish defects and random changes in fibers.

    Once the defect is detected, the defect location and defect size on the horizontal axis and longitudinal axis will be recorded in the defect map, and the digital image will be back up for the system operator to check.

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