WO2024110235A1 - Dispositif et procédé de détection automatique de paramètres de tricotage dans un tricot textile, et machine textile - Google Patents

Dispositif et procédé de détection automatique de paramètres de tricotage dans un tricot textile, et machine textile Download PDF

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Publication number
WO2024110235A1
WO2024110235A1 PCT/EP2023/081604 EP2023081604W WO2024110235A1 WO 2024110235 A1 WO2024110235 A1 WO 2024110235A1 EP 2023081604 W EP2023081604 W EP 2023081604W WO 2024110235 A1 WO2024110235 A1 WO 2024110235A1
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WO
WIPO (PCT)
Prior art keywords
knitted fabric
digital image
fixed points
mesh
determination
Prior art date
Application number
PCT/EP2023/081604
Other languages
German (de)
English (en)
Inventor
Leon PAULY
Souvik DEY
Sibylle Schmied
Goetz T. GRESSER
Original Assignee
Deutsche Institute Fuer Textil- Und Faserforschung Denkendorf
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Deutsche Institute Fuer Textil- Und Faserforschung Denkendorf filed Critical Deutsche Institute Fuer Textil- Und Faserforschung Denkendorf
Publication of WO2024110235A1 publication Critical patent/WO2024110235A1/fr

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Classifications

    • D—TEXTILES; PAPER
    • D04—BRAIDING; LACE-MAKING; KNITTING; TRIMMINGS; NON-WOVEN FABRICS
    • D04B—KNITTING
    • D04B37/00—Auxiliary apparatus or devices for use with knitting machines
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination
    • G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
    • G01N21/892—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles characterised by the flaw, defect or object feature examined
    • G01N21/898—Irregularities in textured or patterned surfaces, e.g. textiles, wood
    • G01N21/8983—Irregularities in textured or patterned surfaces, e.g. textiles, wood for testing textile webs, i.e. woven material
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination
    • G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination
    • G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
    • G01N21/956—Inspecting patterns on the surface of objects

Definitions

  • the present invention relates to a device and a method for the automated detection of stitch parameters in textile knitwear and to a textile machine with such a device.
  • Knitwear is used, among other things, to manufacture clothing and is manufactured industrially from yarns on knitting machines, for example.
  • the stitch parameters of the knitwear determine the properties of the products later manufactured from it. In particular, the stitch width and the row spacing of the stitches determine the density and stretchability of knitwear, for example.
  • Knowledge of the stitch parameters can be used to improve the products manufactured or to improve the textile machines on which the knitwear is manufactured. It used to be common for the stitch parameters of knitwear to be checked by hand. For this purpose, the corresponding knitwear was inspected by a trained person.
  • the light-dark sequence is analyzed in a transmitted light image of a knitted fabric.
  • the evaluation only takes place in one dimension along a line.
  • the row spacing or the stitch width can be analyzed.
  • the present invention therefore has the object of creating a method and a device for the automated detection of stitch parameters in textile knitwear, which enable a more comprehensive analysis of stitch parameters.
  • the problem is solved by a device, a textile machine and a method having the features of the independent patent claims.
  • the proposed device for the automated recording of stitch parameters in textile knitwear is characterized by a recording module for recording a digital image of a knitwear.
  • the device comprises a storage module for storing the digital image and a processing module for preprocessing the digital image.
  • the device also comprises an evaluation module for determining the center of gravity coordinates of pixel clouds in the digital image, for determining distances between the center of gravity coordinates, and for determining at least one stitch parameter of the knitwear from the center of gravity coordinates.
  • the device has the advantage that the two-dimensional information of the recorded image can be used to determine the at least one stitch parameter. On the one hand, this allows different directions of the knitwear to be evaluated simultaneously and, on the other hand, a certain averaging of the stitch parameters takes place over the image section.
  • the proposed device can be used, for example, to determine the stitch width, the stitch row spacing and the skew of the stitch rows.
  • knitted fabrics are understood to mean textile fabrics that are formed from loops of threads that are intertwined with one another. The smallest unit of the pattern that results from this is also referred to as a stitch. Knitted fabrics can be divided into knitted fabrics and warp-knitted fabrics.
  • the recording module of the device must be designed to resolve the mesh structure of the knitted fabric and to depict it as a digital image.
  • the recording module can, for example, comprise a corresponding optical system, in particular with one or more lenses.
  • the recording module can, for example, comprise a corresponding semiconductor-based sensor.
  • the recording module comprises a CMOS sensor.
  • the memory module is connected to the recording module for data transmission.
  • the memory module can comprise a volatile and/or non-volatile digital memory.
  • the memory module comprises a solid-state memory.
  • the processing module is in turn connected to the memory module for data transmission. It is in particular designed to influence the brightness values or the intensity values of the digital image.
  • the processing module is designed to carry out a threshold value method, whereby the recorded image is in particular converted into a binary image.
  • a threshold value method the intensities of the image are divided into different categories depending on the selected threshold value.
  • a binary image for example, there are only intensity values of 0 and 1 in the individual pixels.
  • the binary image is therefore a form of a black and white image and is particularly suitable for machine-assisted pattern recognition.
  • the processing module can be designed for further pre-processing steps of the image.
  • image errors which are caused in particular by the optics, are corrected.
  • the image is particularly important that the image is as distortion-free as possible.
  • the evaluation module processes the information from the pre-processed image into fixed points from which the characteristic mesh sizes can be calculated. It can be designed in particular to determine areas with closed contours in the pre-processed image, i.e. pixel clouds and their centers of gravity.
  • the closed contours in the image of a knitted fabric in which the mesh structure can be resolved are in particular the individual threads from which the mesh structure is made up.
  • the center of gravity of a pixel cloud is the point that has the smallest distance to the closed contour in all directions.
  • the evaluation module is designed in particular to determine the set of these focal points in the recorded and pre-processed digital image and to store the coordinates of these points, i.e. the focal point coordinates.
  • the focal point coordinates can be stored in the storage module, for example.
  • the distances between the focal point coordinates are a measure of the mesh width or the distance between the mesh rows, depending on the direction being evaluated.
  • the evaluation module is therefore designed in particular to determine distances between the focal point coordinates.
  • the recording module, the storage module, the processing module and the evaluation module can be designed individually or together as an integrated circuit.
  • the modules mentioned can also be designed, for example, as part of a computer, in particular a PC.
  • the device comprises at least one light source for illuminating the knitted fabric.
  • This allows the digital image to be optimized for determining the stitch parameters.
  • a particularly high contrast can be achieved between the threads and the spaces between the stitch structure.
  • the light source can, for example, comprise a light spectrum tailored to the recording module. It is also conceivable to provide the light with a specific polarization, for example by means of a polarization filter. In this way, for example, disturbing reflections can be suppressed.
  • the light source can also have a variable intensity in order to produce an optimal contrast on the recorded image for different knitted fabrics with different densities.
  • the device can also have a contrast-maximizing surface which, when the device is used as intended, is arranged on a side of the knitted fabric opposite the recording module.
  • the surface can, for example, be colored in a light shade of white.
  • the light source can, for example, be connected to the recording module in such a way that the knitted fabric is only illuminated when a recording is simultaneously taking place through the recording module.
  • the recording module comprises at least one camera.
  • a digital camera with a corresponding semiconductor sensor is particularly suitable for recording the digital image of the knitted fabric.
  • the camera additionally comprises, in particular, a corresponding lens for imaging the mesh structure of the knitted fabric.
  • the camera can, for example, be designed as a microscope camera with a magnifying lens. If the device is to be used for analyzing moving knitted fabric, for example on a textile machine, the camera must enable a corresponding image frequency.
  • the possible resolution of the camera is in particular so high that structural units of the mesh structure of the knitted fabric can be separated from one another.
  • the at least one light source and the at least one camera are arranged in such a way that the knitted fabric is arranged between the at least one light source and the at least one camera when the device is used as intended.
  • the light from the light source shines through the knitted fabric in this way and can thus increase the contrast of the recorded image.
  • the image is thus recorded using the transmitted light method.
  • a disadvantage here is that the device requires more space. An arrangement in this way can also be difficult in some environments, for example on a circular knitting machine.
  • the at least one light source and the at least one camera are arranged on the same side of the knitted fabric when the device is used as intended. The image is thus recorded using the incident light method. This allows the device to be compact and requires relatively little space.
  • the contrast of the recorded images may be lower than with the transmitted light method.
  • the device is designed for connection to a control system of a textile machine. This makes it possible to achieve inline optimization of the production of knitted fabric. Based on the determination of the stitch parameters of the knitted fabric, operating parameters of the textile machine can be adjusted, for example.
  • the device can have a data interface for this purpose, for example.
  • the device can also be designed, for example, to be integrated into a control system of a textile machine.
  • the receiving module, the storage module, the processing module and/or the evaluation module can be integrated into the control system of the textile machine.
  • a typical textile machine for producing knitted fabric is, for example, a knitting machine, in particular a circular knitting machine.
  • the textile machine according to the invention is characterized by a device according to the previous description.
  • the described features of the advantageous developments of the device can be implemented individually or in any combination.
  • a determination of the stitch parameters of the knitted fabric directly on the textile machine producing it can be used to regulate the operating parameters of the textile machine. This also enables direct quality control. In the event of a malfunction, production can be stopped immediately without producing excessive amounts of waste.
  • the textile machine can be a textile machine that produces knitted fabrics, for example a knitting machine.
  • the textile machine is a machine that processes knitted fabrics, such as a finishing machine that processes knitted fabrics, for example roll to roll.
  • the device is arranged at least partially between a structure-forming device and a take-off device and in particular on a machine bed or a knitting cylinder of the textile machine.
  • the knitted fabric is subject to a certain tension, which makes it particularly easy to reproduce the stitch structure.
  • the textile machine is designed, for example, as a knitting machine and in particular as a circular knitting machine.
  • a digital image of a knitwear is first recorded.
  • the digital image is then subjected to preprocessing.
  • preprocessed image fixed points of a mesh structure and distances between the fixed points are determined.
  • At least one mesh parameter of the knitwear is determined from the distances between the fixed points.
  • the method enables the simultaneous evaluation of information in several directions of the recorded image.
  • the fixed points of the mesh structure can be determined, for example, via the centers of gravity of pixel clouds in the digital image. A list of the coordinates of the centers of gravity, i.e. the center of gravity coordinates, can be saved for further processing.
  • pixel clouds are sections of the image that are enclosed by a contour of pixels of greatly differing intensity.
  • the center of gravity of a pixel cloud is located where the distance to the contour is smallest in all directions.
  • the centers of gravity of the pixel clouds and their corresponding coordinates are a measure of the position of the individual meshes of the knitted fabric.
  • the method can be used to determine mesh parameters both automatically and quickly and accurately.
  • a Cartesian coordinate system with any origin can be created in the image.
  • One of the determined fixed points or centers of gravity can be selected as the origin, for example.
  • the at least one stitch parameter includes a stitch row spacing, a stitch width and/or a skew of the stitch rows.
  • a knitted fabric can be fully characterized using these stitch parameters.
  • the stitch width is the width of the individual stitches across the direction of the thread.
  • the stitch row spacing is the distance between the stitch rows in the direction of the thread.
  • the skew is the deviation from a right angle between the thread and the course of the stitch rows of the knitted fabric.
  • the stitch parameters mentioned can be used for quality control on the one hand and for regulating or improving a textile machine that produces or processes knitted fabric on the other. It is also important, for example, to align the knitted fabric correctly when printing and cutting the knitted fabric.
  • the skew in particular can be an important indicator for this.
  • the digital image is taken with a camera, especially a microscope camera.
  • a digital camera is particularly suitable for creating a two-dimensional image of the knitted fabric with an appropriate resolution of the mesh structure.
  • the image of the mesh structure can possibly be improved further by enlarging it using a camera lens.
  • the use of a digital camera with an appropriate semiconductor sensor enables fast recordings with high light intensity and immediate availability for further digital processing of the image.
  • the pre-processing of the digital image includes a thresholding method, whereby the digital image is converted in particular into a binary image.
  • a thresholding method for example, all pixels of the digital image whose intensity is below the selected threshold are set to a specific first intensity value. All pixels whose intensity is above the selected threshold are set to a specific second intensity value.
  • the first intensity value is 0, for example, and the second intensity value is 1, for example.
  • pre-processing steps of the digital image are conceivable, for example correction of imaging errors, correction of perspective distortion caused by the orientation of the knitwear to the camera, correction of the light sensitivity of the various pixels of a camera sensor, etc.
  • the pre-processed image can then be saved for further evaluation.
  • the determination of at least one mesh parameter of the knitted fabric from the distances of the fixed points involves the determination of the Euclidean distance between the fixed points, in particular in two dimensions.
  • the Pythagorean theorem can be used to determine the distance.
  • values can be determined directly, each of which forms a measure for the mesh width and the distance between the stitch rows.
  • the distances between a large number of neighboring fixed points can be used to calculate the average value of the mesh width and the distance between the stitch rows.
  • the mesh width is determined from the distance between the fixed points across the yarn path of the knitted fabric.
  • the direction of the yarn path can initially be determined externally, for example, or assumed and then subjected to a plausibility check later.
  • a large number of the distances mentioned can be averaged in order to determine an average mesh width of the knitted fabric.
  • the determination of at least one stitch parameter of the knitted fabric from the distances of the fixed points includes the determination of a distance between a first point and a connecting line that connects a second and a third point.
  • the first point is in a first stitch row and the second and third points in a second stitch row.
  • the connecting line thus runs along the second stitch rows.
  • the connecting line between the first point and the second point runs in a first direction and the connecting line between the second point and the third point runs in a second direction, which, apart from the skew, runs essentially transversely to the first direction.
  • the distance between the first point and the third point can be determined, for example, using the plumb point method.
  • To determine the distance between points it is possible, as before, to repeat the distance determination described for a large number of points and connecting lines.
  • the determination of at least one stitch parameter of the knitwear from the distances between the fixed points includes the determination of an angle between a first line and a second line, the first line being perpendicular to a connecting line that connects a first point and a second point, and the second line connecting the second point and a third point.
  • the first point is located in particular in a first stitch row
  • the second point and the third point are located in particular in a second stitch row.
  • the connecting line between the first point and the second point runs in a first direction
  • the connecting line between the second point and the third point runs in a second direction, which, apart from the skew, runs essentially perpendicular to the first direction.
  • the determination of at least one stitch parameter is used to adjust the operating parameters of a textile machine.
  • the operating parameters to be adjusted include in particular the operating parameters that directly influence the stitch sizes, such as the weaving depth of the knitting tools and the take-off force of the winding device, but also the working speed of individual functional groups of the textile machine, such as the rotation speed of a knitting cylinder or the take-off speed of a take-off device.
  • the thread tension can also be adjusted using an adjustable tensioning device depending on the stitch parameters of the knitted fabric being produced.
  • the present method is in particular a computer-implemented method, wherein in particular the preprocessing of the digital image, the determination of fixed points of the mesh structure in the digital image, the determination of distances between the fixed points and the determination of at least one mesh parameter of the knitted fabric from the distances of the fixed points take place as program steps of a computer program.
  • the invention can comprise a corresponding computer program and a computer-readable medium on which a corresponding program is located.
  • the method according to the invention is particularly suitable for operating the device according to the invention.
  • Figure 1 is a schematic representation of a first embodiment of the device according to the invention
  • Figure 2 is a schematic representation of a second embodiment of the device according to the invention.
  • Figure 3 is a schematic representation of the determination of the mesh width of a knitted fabric
  • Figure 4 is a schematic representation of the determination of the stitch row spacing of a knitted fabric
  • Figure 5 is a schematic representation of the determination of the skew of the stitch rows of a knitted fabric
  • Figure 6 is a schematic representation of a textile machine according to the invention.
  • Figure 1 shows a schematic representation of a first embodiment of the device 1 according to the invention.
  • the device 1 comprises a recording module 2 for recording a digital image of a knitted fabric 3, which is arranged in front of the recording module 2.
  • Figure 1 shows a side view of the device 1. In this view, the knitted fabric 3 is shown one-dimensionally, whereby the knitted fabric 3 is actually flat. Accordingly, the recording module 2 records a two-dimensional image of the knitted fabric 3. Examples of the recorded images are shown in Figures 3 to 5, which are explained in more detail later.
  • the recording module 2 comprises, for example, a camera 4 and an optics 5.
  • the optics 5 serves, for example, to magnify the structure of the knitted fabric 3 and comprises, for example, one or more lenses.
  • a light source 6 is arranged on a side of the knitted fabric 3 opposite to the recording module 2.
  • the image capture of the recording module 2 thus takes place in this arrangement in the This allows an advantageous contrast to be achieved in the captured digital image.
  • the device 1 For further processing of the image captured by the recording module 2, the device 1 has a storage module 7 for storing the digital image and a processing module 8 for pre-processing the digital image.
  • the processing module 8 is designed in particular to process the image in such a way that subsequent machine-based pattern recognition processes have a higher chance of success.
  • the processing module 8 is designed, for example, to apply a threshold value method to the image stored in the storage module 7 in order to further increase the contrast in the image. Correction of imaging errors by the processing module 8 is also conceivable.
  • the device 1 has an evaluation module 9.
  • the evaluation module 9 is designed to determine fixed points of the mesh structure in the digital image.
  • the evaluation module 9 is designed to determine focal points 10 (see Fig. 3) of pixel clouds as fixed points and to assign coordinates to these focal points 10.
  • the evaluation module 9 is designed to determine distances between these focal point coordinates and to determine at least one mesh parameter of the knitted fabric 3 from the focal point coordinates. How exactly the determination of the at least one mesh parameter takes place by the evaluation module 9 is explained in more detail with reference to Figures 3 to 5.
  • Figure 2 shows a schematic representation of a second embodiment of the device 1 according to the invention, wherein the features of the device 1 correspond to those of Figure 1.
  • the embodiment of Figure 2 shows a different arrangement of the camera 4 and the light source 6.
  • the light source 6 and the camera 4 are arranged on the same side in relation to the knitted fabric 3 in this embodiment.
  • an image is captured by the recording module 2 or the camera 4 using a reflected light method.
  • This allows the device 1 to be made more compact and arranged more flexibly in relation to the knitted fabric 3.
  • the contrast may be somewhat poorer in this embodiment than with the transmitted light method.
  • Figure 3 shows a schematic example of the recording of a mesh structure of the knitted fabric 3.
  • the image has already been subjected to a thresholding process, for example.
  • the representation corresponds to a binary image.
  • the focal points 10 of the pixel clouds have already been determined in this example and are shown as circles for the sake of clarity.
  • the focal points 10 of one loop direction are shown here. Determining the fixed points, or in this case the focal points 10, using the method according to the invention would also result in a second set of focal points 10 for the other loop direction, each of which would be offset by half a distance between the focal points 10 of the first loop direction. However, only one group of focal points 10 is necessary to evaluate the mesh parameters.
  • the centroids 10 are determined by the smallest distance in all directions to the contour surrounding them. The pattern also results in smaller areas with closed contours, but these can be excluded by preselecting an area threshold. To determine the distances between the centroids 10, coordinates are assigned to each of the centroids 10 and a list of centroid coordinates is created and saved.
  • Figure 3 shows an example of determining the mesh width W.
  • Point 11 of the group of priorities 10 and one of the first point 11 The direction of the thread travel is determined by the second point 12 of the group of centers of gravity 10 adjacent to the thread travel direction.
  • the direction of the thread travel can either be determined externally or assumed.
  • the thread travel direction results from the take-off direction of the knitted fabric 3. This procedure can be repeated for any number of adjacent points 11, 12, which results in an average value of the mesh width W.
  • Figure 4 shows an image corresponding to Figure 3, schematically showing how a course spacing C between courses 14 of the knitwear 3 can be determined using the method according to the invention.
  • the distance between a first point 11 and a connecting line between a second point 12 and a third point 15 is determined.
  • the first point 11 is located in a first course 14 and the second point 12 and the third point 15 are located in a second course 14.
  • the distance between the first point 11 and the connecting line is determined, for example, using the plumb point method.
  • the points 11, 12, 15 can be selected, for example, taking into account the known direction of thread travel.
  • the distance between the point 11 and the connecting line is the course spacing C. In order to obtain an average value for the course spacing C, the method described can be repeated for a large number of points 11, 12, 15 and connecting lines.
  • Figure 5 shows an image corresponding to Figures 3 and 4, schematically showing how the skew A of the stitch rows 14 of the knitted fabric 3 can be determined using the method according to the invention.
  • An angle is determined between a first line 16 and a second line 17, the first line 16 being perpendicular to a connecting line that connects a first point 11 and a second point 12.
  • the second line 17 connects the second point 12 with a third Point 15.
  • the angle between the first line 16 and the second line 17 corresponds to the skew A of the stitch rows 14.
  • this method can be applied to a plurality of first lines 16 and second lines 17 to determine an average value of the skew A of the stitch rows 14.
  • Figure 6 shows a schematic representation of the textile machine 13, which is particularly designed to produce the knitted fabric 3.
  • the textile machine 13 is a circular knitting machine.
  • the textile machine 13 comprises a structure-forming device 18, which in the present case is designed, for example, as a knitting cylinder 19.
  • the knitted fabric 3 produced is drawn off the structure-forming device 18 by a take-off device 20.
  • the textile machine 13 comprises the device 1 according to the invention for analyzing the stitch parameters of the knitted fabric 3 produced.
  • the device 1 is arranged on a machine bed 21 of the textile machine 13 and is thus static.
  • an arrangement of the device 1 on the knitting cylinder 19 is conceivable, in which case the device 1 rotates with the knitting cylinder 19.
  • the device 1 is arranged in particular between the structure-forming device 18 and the take-off device 20.
  • the device 1 comprises the features described above.
  • the textile machine 13 also comprises a control 22, which serves, for example, to set the operating parameters of the textile machine 13.
  • the device 1 is connected to the control 22 of the textile machine 13 via a corresponding data link 23. This allows the operating parameters of the textile machine 13 to be adjusted depending on the stitch parameters of the knitted fabric 3 determined by the device 1.
  • the operating parameters to be adjusted include in particular the working speed of individual functional groups of the textile machine 13, such as a rotation speed of the knitting cylinder 19 or a take-off speed of the take-off device 20. It is conceivable that in particular the storage module 7, the processing module 8 and/or the evaluation module 9 are integrated into the control 22 of the textile machine 13.

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  • Engineering & Computer Science (AREA)
  • Textile Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Wood Science & Technology (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Sewing Machines And Sewing (AREA)
  • Knitting Machines (AREA)

Abstract

L'invention concerne un dispositif (1) et un procédé de détection automatique de paramètres de tricotage dans un tricot textile (3), ainsi qu'une machine textile (13) comprenant un tel dispositif (1). Le dispositif (1) comprend un module de capture (2) pour capturer une image numérique de tricot (3). Le dispositif (1) comprend un module de stockage (7) pour stocker l'image numérique et un module de traitement (8) pour prétraiter l'image numérique. Le dispositif (1) comprend en outre un module d'analyse (9) pour déterminer des points de fixation d'une structure de tricot dans l'image numérique, déterminer des distances entre les points de fixation, et déterminer au moins un paramètre du tricot (3) à partir des distances entre les points de fixation.
PCT/EP2023/081604 2022-11-25 2023-11-13 Dispositif et procédé de détection automatique de paramètres de tricotage dans un tricot textile, et machine textile WO2024110235A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102022131245.3A DE102022131245A1 (de) 2022-11-25 2022-11-25 Vorrichtung und Verfahren zur automatisierten Erfassung von Maschenparametern in textilen Maschenwaren sowie Textilmaschine
DE102022131245.3 2022-11-25

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WO2024110235A1 true WO2024110235A1 (fr) 2024-05-30

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Citations (4)

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US4748334A (en) * 1986-04-25 1988-05-31 Gunze Limited Method and apparatus for detecting flaws in knitted fabric
JP2901644B2 (ja) * 1989-05-26 1999-06-07 津田駒工業株式会社 編目配列の画像認識方法およびその画像認識装置
US6219136B1 (en) * 1998-03-03 2001-04-17 Union Underwear Company, Inc. Digital signal processor knitting scanner
US20220005182A1 (en) * 2018-10-15 2022-01-06 Smartex Europe, Unipessoal Lda. Machine and method to control textile quality

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