CN1784595A - Method for inspecting the quality criteria of flat textile structures embodied in a multilayer form according to a contour - Google Patents
Method for inspecting the quality criteria of flat textile structures embodied in a multilayer form according to a contour Download PDFInfo
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- CN1784595A CN1784595A CN 200480012423 CN200480012423A CN1784595A CN 1784595 A CN1784595 A CN 1784595A CN 200480012423 CN200480012423 CN 200480012423 CN 200480012423 A CN200480012423 A CN 200480012423A CN 1784595 A CN1784595 A CN 1784595A
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- 238000000034 method Methods 0.000 title claims abstract description 49
- 239000004753 textile Substances 0.000 title abstract description 5
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- 239000004744 fabric Substances 0.000 claims description 9
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- 239000004745 nonwoven fabric Substances 0.000 claims description 3
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- 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
- G01N21/86—Investigating moving sheets
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- 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
- G01N21/8914—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles characterised by the material examined
- G01N21/8915—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles characterised by the material examined non-woven textile material
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Abstract
The invention relates to a method for inspecting quality criteria of flat textile structures embodied in a multilayer form according to a contour, in particular to woven, stitched, knitted, sewed or non-woven structure, preferably provided with, in particular cut areas or holes, separated or forming a strip, in particular for used for producing airbags. The inventive method is carried out with the aid of image forming inspection means, in particular optical inspection means, preferably a linear array camera or CCD-array camera. When a relative motion between the inspected structures and the camera is produced, the structure is arranged at least in an area and at a defined distance from the image forming inspection means preferably on the approximately flat surface of an control table or on an inspection strip. The texture of the structure is analysed according to a segmentation method. The characteristics like a centre of gravity, the surface, main axes etc are calculated for the different coherent segments of the same texture. An univocal system of co-ordinates for the structure and corresponding structures of the same type is defined on the basis of said characteristics, said system is non-variable with respect to the torsion, reflection, stretching/compression and the deformation of the system and makes it possible to define measuring points. In order to determine said system of co-ordinates, in addition to said segment characteristics, the position and the direction of identification threads which are intentionally introduced into the structure is taken into account. The respect of concerned distances is controlled and a quality report is produced on the basis of the measuring points which are recorded by the system on the basis of the quality requirements of a producer or consumer preferably in distant and marginal critical areas.
Description
Technical field
The present invention relates to a kind of method, be used to check the quality standard of the woven structure plane, that make with the multilayer profile, this tissue is particularly useful for air bag, by means of imaging, especially testing fixture, plane-or the CCD-linescan cameras preferably of optics, wherein between tissue to be tested and camera, produce a relative motion, and described organizing at least partly with a definite distance is arranged on imaging testing fixture front preferably on the surface on a basic plane of a check-out console or test strip.
Background technology
By the known a kind of textile tapes self-verifying of DE 36 39 636 A1.The webbing on described plane is arranged in parallel by means of of color plane camera and checks there, checks that wherein relating to an aberration identification of carrying out in real time carries out a partial structurtes defect recognition of carrying out in real time simultaneously.The transient state video memory that circulation writes is used in the fault of construction analysis, is used for carrying out bidimensional ash value analysis more accurately for the defective of discerning at subrange unreliablely.The data volume that is used to carry out this inspection is very big, therefore can not under industrial condition, check the qualitative character of tissue easily with very short pitch time, these tissues have according to the breach of service condition or seamed edge, they do not allow to surpass one given, with minor increment weaving, seamed edge knitting or that make.
According to EP 0 816554 A1 be used for be out of shape the method for correction and the device of subordinate relates to, but check webbing printing or other optical identification pattern of being furnished with a pattern whether to have distortion, so that then carry out a correction that meets pattern when needed.
Suggestion for this reason, discernible pattern is taken by an imaging apparatus on webbing.Then the picture intelligence that is produced is transported to an image-processing system, wherein only by the picture intelligence of one or more picked-up webbings, for example carry out a deformation recognition, and needn't import pattern data in advance by estimating straight line units, seamed edge and/or color boundaries.
Although can be with distortion of long webbing of enough precision identification by this solution, so that then control an adjusting machine, but a single object that has been in different procedure of processings is being tested, aspect some quality standard of procedure of processing result because single object can not be compared with a webbing that more or less moves continuously based on its position on a check-out console.
Air bag with the weaving of multilayer profile during process repeatedly carries out dimension inspection,, obtains those predictive error values that extend in the plane and check should be observed of institute's machining profile on the position of determining that is.According to prior art, this check can only manually be carried out and therefore very time-consuming, expense manpower and cost.The fiduciary level of an inspection vision, relevant with personnel is owing to the health or the psychological situation of that people's who is responsible for checking variation change in addition.This textile product for example may have variation on the size for the air bag fabricator, and the result is possible hinder the zero defect cutting.This is because known control program is not at profile for the cutting of air bag, but at being in the mark of relativeness with profile.Exist not at this and to observe the danger that predictive error value and resulting product can not use according to the rules.
Summary of the invention
Therefore set out by the problems referred to above and the objective of the invention is, provide a kind of further improved method, be used to check plane especially, weave with the multilayer profile, through what compile, weft knitting, that make or constitute by nonwoven fabrics, quality standard with woven structure of breach or aperture, wherein this method especially also can be analyzed single tissue, they have diverse profile and they also basically a coarse alignment ground be positioned on the check-out console, and needn't with otherwise bothersome mode, for example by manually with tissue to be tested by setting up a definite original position on the seamed edge that is placed on check-out console.
Purpose of the present invention is achieved by a kind of method that limits according to claim 1, and wherein dependent claims is suitable at least expansion structure and improvement project.
For trace back to known imaging testing fixture according to method of the present invention, for example one or more planes-or CCD-linescan cameras, this method be used to check the plane, with the braiding of multilayer profile or the woven structure of making, have breach or aperture, in particular for the quality standard of the single tissue of air bag.Can use for example ultrasonic sensor, sonar or radar installations as the imaging testing fixture, wherein can utilize visible but also can be ray in the sightless scope, for example roentgen-ray about the testing fixture of optics.
Produce a relative motion between this external tissue to be tested and the camera, wherein said tissue is arranged on one with a definite distance and led on the image field next door of camera with the distance of determining on the plane of the check-out console on plane or test strip or by a roller basically.
In first step, at first take the image of the air bag of for example weaving and the pictorial data that storage is obtained.The shooting of described image can be according to textile material with different illumination scheme, for example realize with reflected light or with transmitted light.Described imaging apparatus correspondingly constitutes.
In next step, can carry out the pictorial data correction like this in suitable mode, make that the ratio in X resolution that makes progress and the resolution that makes progress at Y is 1.
Through pretreated pictorial data by means of its different fabric tissues that in image, equally differently show, for example by different brightness by segmentation, and for each segmentation, definite marks such as whole tissue, hole for example, for example rectangle of area, center of gravity, conversion, main axis and similarly content.Segmentation here can be understood as a coherent area movement with consistent fabric tissue.
By the mutual alignment of segmentation center of gravity and the further feature that is obtained, from the standard comparing data that image was obtained of the given tissue of the weaving of taking, obtain position of rotation, minute surface direction, stretching or compression, distortion or the class likelihood data of woven structure by means of in advance with identical method.
Each warp thread and the position-direction of weft yarn or the distortion that angle identification can additionally guarantee to obtain woven structure by the color special representation.
Can determine one for the clear and definite coordinate system of woven structure by the mark that these obtained, for example by making true origin in the center of gravity of the woven structure of being cut off, X-axis is in the weft yarn or the first main axis direction, Y-axis is in the warp thread or the second main axis direction, and wherein said coordinate system can be used for other measurement or monitoring purposes.
Then preferably in critical interval and fringe region, determine measurement point by means of manufacturer and user's quality predetermined value.But these measurement points also can find in a learning algorithm scope and realize.
Especially in intercept that confirms determining or fringe region, do not have the danger of distance or undergage, then can determine a measurement point cloud, to improve reliability about quality conclusion in this critical zone.
Can measure that all can imagine each fabric tissue or in image the distance between the section boundaries, they are determined by above-mentioned coordinate system.Can define bounds on error for each measurement point.In addition, described measurement data itself also can be noted in a quality report, and/or be used to make woven structure pass through principle first-class/poor-conclusion no longer continues processing or output.
There is this possibility according to the present invention with drafting, in local elongation of check-out console, especially woven structure or compression during undefined weaving position, and how whether check make measurement point be positioned in order to obtain critical distance stretches and/or the constricted zone the inside one of identification.If like this, then can cancel given measurement point and have this possibility, determine selectable measurement point.If can determine, selectable measurement point also is positioned at and stretches and/or the constricted zone the inside, then impels according to the new design of woven structure and carry out new picture-taking on check-out console.
The perhaps method by using transmitted light or use catoptrical method to carry out the shooting of image.Relevant therewith, described check-out console or test strip constitute a penetrating apparatus, and the surface of perhaps described check-out console or test strip constitutes a background that is used for woven structure that produces contrast.Between tissue and background or base, produce enough contrast thus.Two kinds of radiation modalities can be structurally given, saves thus to be equipped with again.
Under the condition of using a scanning process, take image and realize like this, during taking pictorial data, on existing partial images, realize segmentation algorithm by scanner with an advantageous method scheme.
Check to the woven structure dimensional stability can be carried out like this, making different institutional frameworks produce contrast ground each other constitutes, and at least one slotted line that passes institutional framework is pieced together into to the institutional framework the inside of being described, and wherein measures at least two at least one between measurement point on the slotted line and that change to limit by a contrast at interval.Therefore described institutional framework is checked its position and its position mutually on the position that for this reason is fit to.
For example be implemented in like this and obtain profile on the woven structure, make be arranged on the measurement point that the structural slotted line of a definite contrast place settles at least one to describe profile at least, and the measurement point of the overall and subordinate of slotted line constitutes an outline line.This outline line can be then used in motion, especially a Scissoring device or apparatus for sewing of other processing unit (plant) of control.
Description of drawings
To and be described in detail with reference to the attached drawings the present invention by means of an embodiment below.Use identical Reference numeral for parts identical or identical function or method step.In the accompanying drawing:
Fig. 1 is an exemplary plot that is used to obtain the scanister of woven structure image,
Fig. 1 a is that the example of a curtain-installing side airbag is always schemed, and has one in the make progress resolution ratio of balance of X and Y,
Fig. 2 is that an example by the curtain-installing side airbag image of a background segmentation is always schemed,
Fig. 3 is that the example of the segmented images of curtain-installing side airbag is always schemed, and has the centre of gravity place with respect to the aperture of whole visual centre of gravity place of example,
Fig. 4 a-c is the exemplary plot of a scanning process in the scope of fragmentation procedure,
Fig. 5 a is the exemplary plot that and original intercept are compared different filtering methods,
Fig. 5 b is the example optical filtering imaging of the fabric profile of a curtain-air bag, as the plane of sealing,
Fig. 6 is the example optical filtering imaging of the fabric profile of a curtain-air bag, as the edge image,
Fig. 7 a is the exemplary plot of a warp thread recognition principle,
Fig. 7 b is a center of gravity calculation and the exemplary plot of determining an object coordinate system of curtain-air bag,
Fig. 7 c is the exemplary plot that a row measures the principle of work of light filter,
Fig. 8 is that the principle that obtains size on curtain-airbag structure is explained on example ground,
Fig. 9 a, b are the exemplary plot in the wide check of the enterprising road wheel of the air bag that cuts out,
Figure 10 is that the exemplary profile that is used for the air bag cutting is determined.
Embodiment
Final detection according to the embodiment of Fig. 1-10 air bag shown here.
Curtain-air bag that to be positioned at a woven structure on the check-out console be a definite size in the example shown, it has the breach by the aperture form of the seamed edge structure of technology decision and longitudinal extension on a side of air bag.Agree speech " curtain-side air bag " and " air bag " in order clearly to describe to use in the following description, be understandable for the professional wherein, the manufacture process that given method generally both had been not limited to curtain-installing side airbag also is not limited to the process of air bag.
Have a task in this embodiment, check breach or aperture whether have a definite position and, whether the distance and the position at aperture and bag material knitting or that make edge have a definite numerical value.To check the dimensional stability of air bag blanking in addition.
According to Fig. 1, described air bag is placed on the platform IT at first like this, makes that it can be by a camera system picked-up.It from below by transmitted light or from top by reflected light illuminated.Therefore the different optical phenomenon of fabric or cutting profile can be to describe and to obtain with limiting for light incident and light transmissive contrast.
Platform IT has a glass plate as carrying plane in suitable mode in an exemplary embodiment for this reason.
On this platform IT, fix a scanister SE, but it form by the irradiation unit of a CCD linescan cameras and a break-make, this irradiation unit is arranged on platform top and is arranged on the platform below for transmitted light for reflected light.This scanister SE carries out the relative motion with respect to platform IT.This moves through a white double-head arrow and represents in Fig. 1.The motion of described scanister SE wherein receives an image of air bag therewith relatively to carry out similarly with known flat-bed scanning device on air bag to be tested.Then after this scanning process, can will should present as grey valued picture or color image by image.
That then will obtain like this and to filter in a different manner and therefore handle in order to continue to handle in order to continue to use best at the image shown in Fig. 1 a.Mainly can use two kinds of basic filtering methods at this.
First kind of filtering method shown in Figure 2.Be presented on the background environment of white in of the segmentation of this air bag that cuts out as black.Binary fragmentation threshold is essential in this method regulates like this, makes gamut be identified as a relevant tissue.The figure image point of black is expressed a geometrical plane, can calculated example such as area (quantity of black figure image point), center of gravity S, main axis HA and according to other parameter of Fig. 2 for different features.
The black point intersegmental part contain jagged or aperture as white segment, their can see (see figure 3) as relevant geometric jacquard patterning unit surface equally by identical feature area, center of gravity, main axis or the like.
By the position of center of gravity and main axis, be rotation and minute surface direction and the compression that may occur or stretching and the distortion that the main and mutual feature of each segmentation (Fig. 2 and Fig. 3) that obtained can calculate described woven structure.
In order to select and to distinguish important and unessential segmentation, the feature that is obtained is set up ultimate value, for example minimum and maximum surface, minimum and maximum X stretch or similar parameters.
As shown in Figs. 4a-c, during taking image, carried out first evaluation procedure, be section.
In order to arrive for the clear and definite coordinate system of airbag types, therefore the center of gravity of use air bag segmentation and main axis (Fig. 2) one second main axis vertically are in first does not also use on main axis shown in the drawings, therefore the center of gravity of air bag segmentation is corresponding to true origin, and two main axiss are corresponding to coordinate axis.If the center of gravity (see figure 3) of aperture L is represented, can obtain the minute surface direction easily in this coordinate system.
If determine the maximum tension of air bag segmentation on this change in coordinate axis direction, can also define an engineer's scale of on air bag, locating clearly.
Divide the exact position of the aperture center of gravity of intersegmental part can also make coordinate system by air bag adaptive aspect the distortion.
As what seen by the partial view of Fig. 5 a, the raw image O shown in the left side is in the scope of described and other fragmentation procedure or also not only change segmented images I into by suitable image filter but also change edge image K into.Fig. 5 b illustrates the whole image that belongs to segmented images I again, and Fig. 6 illustrates an edge image with the form of an exemplary whole view.
Describe a kind of method below with reference to Fig. 7 a, being used for determining wherein mainly is that warp thread is not in vertical angle each other with weft yarn in tissue, the especially distortion on the weaving surface of air bag.Determine the actual angle between warp thread and the weft yarn on this example ground, so that following being operated on the fabric construction coordinated mutually with this distortion.
Detect yarn other color, that produce contrast in this embodiment, they have been inweaved in the yarn fabric the inside of tissue.They are represented as a straight line mesh LR who is made of warp thread with the view among Fig. 7 a.These warp thread have the distortion identical with weft yarn with the warp thread of whole material.When detecting, warp thread uses a seamed edge identification light filter in suitable mode.
In next step,, and this center of gravity is defined as true origin in the benchmark system of tissue according to the center of gravity of Fig. 7 b computation organization.According to the distortion of in above-mentioned steps, determining, make this coordinate system distortion or distortion.The X-axis of the benchmark of this tissue or air bag system is along the latitude axle and Y-axis is located along warp thread.The actual position of the aperture in this coordinate system determines to organize the especially position of air bag.Then with the position of tissue and work or the action that orientation is irrespectively always carried out in corresponding position and the asymmetric position of the asymmetrical shape of tissue or aperture is coordinated mutually.
Now handle the tissue of being found by another optical filtering step.Example ground imaging in Fig. 7 c for this reason.
According to Fig. 8, in the following size of in a webbing, obtaining on the air bag in example ground under the described situation.In webbing, obtain a single air bag at first as mentioned above.Measure light filter and handle the air bag image in one way, make a double layer area 10 represent with Baise and individual layer zone 1, for example can be one and sew up the zone and represent with black.Place the slotted line 11,12 with end points 2,4,6,8 on the profile of this imaging, they are positioned at double layer area 10 the insides.When color transition from white to black takes place in 2,4,6,8 beginnings and check continuously towards center position along slotted line 11,12 from end points now.Sew up zone 1 in this location positioning thus.In the example of Fig. 8, this is corresponding to the situation of point 3,5,7 and 9.Measure respectively at the interval of putting between 7 and 9 and 3 and 5 along slotted line 11 and 12 now.
Can set up reference point 13 to 16 at the air bag tissue from beginning in addition, can obtain being used for the size of air bag size thereon.By making image no longer as seen by measuring light filter processing image.For this reason by means of slotted line 11 and 12 can obtain equally near being positioned at than on the coarse contour, for example at the interval at 1 place.Then by modified value, coefficient and similar parameter acquisition size with respect to reference point.Also can obtain the colour switching from black to white in principle in this embodiment.
In conjunction with Fig. 9 b an example profiles check on the air bag that cuts out is described by means of Fig. 9 a now.State the profile that obtains this air bag under the condition of step in the use.Measure now light filter and handle the air bag image that is obtained in one way, for example depict at one for the cross spider 103a of air bag background and the transition between the cross spider 106 between individual layer and the multi-layer area 1 as lines 101,102,103 thus.Then on the lines 101,102 and 103 of these expression zone of transition, arrange slotted line 105,110, and according to identical said method obtain along slotted line 105 and 110 point 108 or 109 and 110a between the interval.
These numerical value can be checked its dimensional stability and its error range now.Can obtain and select the air bag that its profile or size do not correspond to set-point thus.
In conjunction with Figure 10 example ground a profile measurement that is used for the air bag blanking is described now.In aforesaid step, on webbing, detect those single air bags.Measure light filter now and handle the air bag image in one way, make and depict for example transition between individual layer and multi-layer area 206 as lines 101,102.On the lines 101 and 102 of these expression zone of transition, arrange slotted line 209 now.Obtain a point 208 along slotted line 209 unilaterally according to identical said method now.Determine a point 207 with respect to point 208 distances of determining along slotted line 209 with one now.By means of on all slotted lines have a little 207 to determine a path 203 that is used to cut the cutting means of air bag.
List of numerals
HA main shaft 110 slotted lines
S center of gravity 110a measurement point
I island image intercept 208 points
K Image boundaries intercept 209 slotted lines
The straight line mesh of LR warp thread
1 individual layer zone
2 slotted line end points
4 slotted line end points
5 color transitions point
6 slotted line end points
7 color transitions point
9 slotted line end points
10 double layer area
11 slotted lines
12 slotted lines
13 reference points
16 reference points
101 transition lines
102 transition lines
103 transition lines
The 103a cross spider
105 slotted lines
106 cross spiders
108 measurement points
109 measurement points
Claims (10)
1. one kind is used to check the plane, make with the multilayer profile, especially weave, through what compile, weft knitting, make, or constitute by nonwoven fabrics, preferably have breach or aperture, loose or be positioned at the method for the quality standard of a woven structure on the webbing, this tissue is particularly useful for air bag, described method is by imaging, especially the testing fixture of optics, preferably a CCD linescan cameras or a plane camera carry out, wherein between tissue to be tested and camera, produce a relative motion, and described organizing at least partly with a definite distance is arranged on the surface on a basic plane that imaging testing fixture front is preferably in a check-out console or test strip, perhaps guide on the image field next door of camera with the distance of determining, comprise the following steps: by a roller
Take tissue by testing fixture, especially camera, and storage or pictorial data that intermediate storage obtained; By means of the fabric tissue difference that can in image, discern the pictorial data that is obtained is carried out segmentation;
Obtain segmentation feature for each image section, rectangle or similar parameters as segmentation center of gravity-step area-segmentation main axis and/or sealing, determine a clear and definite coordinate system of organizing by means of them for described tissue and corresponding same type, it is constant with respect to rotation, reflection, stretching, compression and the distortion of tissue, wherein by means of coordinate system the measuring position is defined.
2. the method for claim 1 is characterized in that, preferably the measuring position is defined by means of manufacturer or user's quality set-point with critical interval region and fringe region or predetermined.
3. method as claimed in claim 1 or 2 is characterized in that, dimensional stability that check is actual and given distance, especially check from the zone that cuts out linear slit or from linear slit to organizing outer peripheral distance.
4. the method according to any one of the preceding claims is characterized in that, provides a quality report by means of the check data that is obtained.
5. the method according to any one of the preceding claims is characterized in that, in order to determine to organize clear and definite coordinate system for to be tested, and the position and/or the direction of the warp thread that inweaved of identification optically.
6. the method according to any one of the preceding claims is characterized in that, in order to check the dimensional stability in the reality of the distance on section boundaries (edge image K) next door, uses image processing-seamed edge scanning algorithm.
7. the method according to any one of the preceding claims, it is characterized in that, in stretching or when compression of a part of identification undefined position, especially a woven structure, whether the measurement point that check is used for determining critical distance is and how to be positioned at and to stretch and/or the constricted zone the inside, so that then remove selected measurement point, determine selectable measurement point, perhaps impel the picture-taking that repeats relevant woven structure.
8. the method according to any one of the preceding claims, it is characterized in that, use transmitted light or reflected light method to carry out picture-taking, wherein, described check-out console or test strip constitute a printing opacity irradiation unit, and perhaps the surface of check-out console or test strip constitute a background that is used for the generation contrast of woven structure.
9. the method according to any one of the preceding claims is characterized in that, described woven structure is separated from webbing based on an outline line that obtains according to the method described above.
10. a plane, that make with the multilayer profile, especially weaving, through that compile, weft knitting, that make or that constitute by nonwoven fabrics, in particular for the woven structure of air bag, it is separated from webbing in accordance with the method for claim 9.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE10313983 | 2003-03-27 | ||
| DE10313983.4 | 2003-03-27 | ||
| DE10341318.9 | 2003-09-08 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN1784595A true CN1784595A (en) | 2006-06-07 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 200480012423 Pending CN1784595A (en) | 2003-03-27 | 2004-03-26 | Method for inspecting the quality criteria of flat textile structures embodied in a multilayer form according to a contour |
Country Status (3)
| Country | Link |
|---|---|
| CN (1) | CN1784595A (en) |
| DE (1) | DE10341318A1 (en) |
| MX (1) | MXPA05010335A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103018250A (en) * | 2012-12-12 | 2013-04-03 | 江南大学 | Image detection system for seamlines of fabric in calendering process |
| CN101096819B (en) * | 2006-06-27 | 2014-07-09 | 中国纺织科学研究院 | Organization discrimination method of fabrics |
| CN106133504A (en) * | 2014-03-28 | 2016-11-16 | 世联股份有限公司 | Defect detecting device |
| CN107356207A (en) * | 2017-06-27 | 2017-11-17 | 泉州华中科技大学智能制造研究院 | A kind of the winged of view-based access control model identification knits vamp deformation detection method |
| CN110268251A (en) * | 2017-04-25 | 2019-09-20 | 惠普发展公司，有限责任合伙企业 | Determine the characteristic of substrate |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE3426056A1 (en) * | 1983-07-16 | 1985-01-24 | Leicester Polytechnic, Leicester | METHOD AND DEVICE FOR CONTROLLING TEXTILES |
| DE3544251A1 (en) * | 1985-12-14 | 1987-06-19 | Duerkopp System Technik Gmbh | METHOD AND DEVICE FOR THE AUTOMATIC CUTTING OF PARTS FROM FLAT AREA SEWING MATERIAL, ACCORDING TO DIFFERENT CONTOURS, TEMPLATES ON A COORDINATE CUTTING MACHINE |
| DE3639636C2 (en) * | 1986-11-20 | 1996-04-18 | Robert Prof Dr Ing Massen | Automatic inspection of textile webs |
| US5774177A (en) * | 1996-09-11 | 1998-06-30 | Milliken Research Corporation | Textile fabric inspection system |
| US6090158A (en) * | 1998-09-08 | 2000-07-18 | Levi Strauss & Co. | Localized finishing of garment workpieces |
| GB0005792D0 (en) * | 2000-03-11 | 2000-05-03 | Shelton Vision Systems Ltd | Automatic inspection method |
-
2003
- 2003-09-08 DE DE10341318A patent/DE10341318A1/en not_active Withdrawn
-
2004
- 2004-03-26 CN CN 200480012423 patent/CN1784595A/en active Pending
- 2004-03-26 MX MXPA05010335A patent/MXPA05010335A/en not_active Application Discontinuation
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101096819B (en) * | 2006-06-27 | 2014-07-09 | 中国纺织科学研究院 | Organization discrimination method of fabrics |
| CN103018250A (en) * | 2012-12-12 | 2013-04-03 | 江南大学 | Image detection system for seamlines of fabric in calendering process |
| CN103018250B (en) * | 2012-12-12 | 2014-12-24 | 江南大学 | Image detection system for seamlines of fabric in calendering process |
| CN106133504A (en) * | 2014-03-28 | 2016-11-16 | 世联股份有限公司 | Defect detecting device |
| CN106133504B (en) * | 2014-03-28 | 2019-05-14 | 世联股份有限公司 | Defect detecting device |
| CN110268251A (en) * | 2017-04-25 | 2019-09-20 | 惠普发展公司，有限责任合伙企业 | Determine the characteristic of substrate |
| US11307027B2 (en) | 2017-04-25 | 2022-04-19 | Hewlett-Packard Development Company, L.P. | Determining a characteristic of a substrate |
| CN107356207A (en) * | 2017-06-27 | 2017-11-17 | 泉州华中科技大学智能制造研究院 | A kind of the winged of view-based access control model identification knits vamp deformation detection method |
| CN107356207B (en) * | 2017-06-27 | 2019-04-16 | 泉州华中科技大学智能制造研究院 | A kind of the winged of view-based access control model identification knits vamp deformation detection method |
Also Published As
| Publication number | Publication date |
|---|---|
| DE10341318A1 (en) | 2005-03-10 |
| MXPA05010335A (en) | 2007-02-19 |
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