EP0544752A1 - Inspecting garments - Google Patents

Inspecting garments

Info

Publication number
EP0544752A1
EP0544752A1 EP19910915109 EP91915109A EP0544752A1 EP 0544752 A1 EP0544752 A1 EP 0544752A1 EP 19910915109 EP19910915109 EP 19910915109 EP 91915109 A EP91915109 A EP 91915109A EP 0544752 A1 EP0544752 A1 EP 0544752A1
Authority
EP
European Patent Office
Prior art keywords
image
garment
seams
panels
inspecting
Prior art date
Legal status (The legal status 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 status listed.)
Withdrawn
Application number
EP19910915109
Other languages
German (de)
French (fr)
Inventor
Leonard Norton-Wayne
Siavash Abbasszadeh
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
De Montfort University
Original Assignee
De Montfort University
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 De Montfort University filed Critical De Montfort University
Publication of EP0544752A1 publication Critical patent/EP0544752A1/en
Withdrawn legal-status Critical Current

Links

Classifications

    • 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
    • G01N21/8901—Optical details; Scanning details
    • D—TEXTILES; PAPER
    • D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
    • D06H—MARKING, INSPECTING, SEAMING OR SEVERING TEXTILE MATERIALS
    • D06H3/00—Inspecting textile materials
    • D06H3/08—Inspecting textile materials by photo-electric or television means
    • D—TEXTILES; PAPER
    • D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
    • D06H—MARKING, INSPECTING, SEAMING OR SEVERING TEXTILE MATERIALS
    • D06H3/00—Inspecting textile materials
    • D06H3/16—Inspecting hosiery or other tubular fabric; Inspecting in combination with turning inside-out, classifying, or other handling
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/36—Textiles
    • G01N33/367—Fabric or woven textiles

Definitions

  • This invention relates to inspecting garments and particularly garments such as Y-front underwear comprising garment panels separated by seams.
  • Inspection of mass-produced garments such as socks and underwear is a particularly labour-intensive operation.
  • the garments are inspected, currently, by eye for dimensional defects and to check that the correct size label is applied, for making-up defects - badly sewn or missing seams, for example, for labelling defects, colour variations and fabric defects such as holes, stains, printing defects, colour defects and others.
  • the number of personnel engaged on such inspection quite often substantially exceeds the number engaged in production.
  • the difficulty is to develop a methodology by which images can be formed and inspected automatically, sufficiently rapidly to keep pace with production, with a high detection efficiency and a low rejection rate for fault-free garments, using equipment which is not prohibitively expensive.
  • the invention comprises a method for
  • automatically inspecting garments which have panels separated by seams comprising the steps of :- forming an image from the garment, identifying the seams on the image, and inspecting the panel areas individually.
  • the invention is particularly applicable to garments in which the seams themselves have width, when the seams may also be inspected. Seams which stand proud of the adjacent panels - more generally, seams which have a z-coordinate with respect to the x,y coordinates of the garment surface - may be detected by shadows and highlights from oblique illumination.
  • the method of the invention may be adapted for inspecting Y-front underwear, which comprises panels edged with wide, raised seam and waistband structures, when it may comprise the steps of :- forming an image of the front of the garment laid flat, locating on the image the outline of the garment, locating on the image the edges of the wide, raised seam and waistband structures, and inspecting the panels and the wide, raised seam and waistband structures located on the image for faults.
  • the garment may be measured for sizing from the image of the front of the garment, and may be illuminated with front lighting to form this image, after which the garment is illuminated with oblique lighting to locate the edges of the wide, raised seam and waistband
  • the invention also comprises apparatus for automatically inspecting garments which have panels separated by seams comprising :- imaging means for forming an image of the garment, seam identifying means for identifying the seams on the image formed by the imaging means, and panel inspection means for individually
  • the imaging means may comprise an area scan video camera aimed at a background against which the garment can be laid flat and front and oblique lighting for garments so laid against the background.
  • the seam identifying means may comprise image processing means identifying highlights and shadows on an obliquely illuminated image and superimposing images thereof on a front-lit image of the garment.
  • the panel inspection means may comprise image processing means adapted to identify a panel on the image and process the same to detect faults therein according to predetermined criteria and to activate alarm or garment rejection arrangements upon fault detection.
  • the panel inspection means may be arranged to process each of a plurality of panels of the image sequentially.
  • Fault recording means may be adapted to record the occurrences of faults associated with each of a plurality of panels on a batch inspection of similar garments.
  • the apparatus may then also comprise
  • heuristic control means arranging the said plurality of panels in a sequence for inspection according to the incidence of faults for each panel recorded as the batch inspection processes.
  • Figure 1 is a general view of the apparatus
  • Figure 2 is a first image produced by the
  • FIG. 3 illustrates a processing step in
  • Figure 4 is a second image produced by the
  • FIG. 5 illustrates a processing step in
  • Figure 6 illustrates the step of superimposing seams located from the second image on the first image
  • Figure 7 illustrates a step in the fault detection operation.
  • Y-front underwear 11 presented laid flat on a conveyor 12 passing beneath an area scan video camera 13 which images each garment in turn for processing in image processing apparatus 14.
  • Y-front underwear poses special problems for automatic, machine-vision inspection, inasmuch as it comprises panels 11a with intervening seams lib.
  • Treating the garment as a single panel would require the signals produced by the seams to be somehow ignored.
  • the seams 14b themselves have width, and the method also allows the seams 11b to be inspected. If the seams lib could be relied upon to have a different colour or a different texture from the panels 11a, such difference could be used to identify the seams However, generally speaking, the seams are identical with or very similar in appearance to the panels.
  • Y-front garment seams stand proud of the adjoining panels, that is to say they have a z-coordinate with respect to the x,y-coordinates of the garment surface.
  • the garments 14 have a front and a back and that both may require to be inspected. This is not necessarily the case - preinspection of fabric may reduce the incidence of fabric faults to negligible proportions, and thus the only faults which require to be detected are making-up faults, which may be found to occur almost entirely on the complicated front and hardly ever on the much Huawei back of the garment. If both sides have to be inspected, however, the procedure will be repeated, mutatis mutando, with the garments, turned over. The present description will be with regard to inspection of the front. However, with some designs of Y-front underwear, laying the garment face up exposes the legopening seam all the way round, and then inspecting the reverse side may be unnecessary. An image is first formed of the garment 11 using the front lighting set-up 15. This image - which might be averaged over two or more frames for noise-reduction purposes - is stored in a frame store of the apparatus 14 and segmented using an appropriate grey-scale
  • centroid (X,Y) of the image - Figure 3 - is determined as V
  • N is the number of points on the periphery, which is a reasonable approximation from a simple and rapid calculation.
  • the distance from the centroid (X,Y) of each edge pixel (x i ,y i ) is calculated as
  • E-F ⁇ [(x E - x F ) 2 + (y E - y F ) 2 ]
  • the conveyor 12 is conveniently stopped for the imaging so that once the first image referred to above has been captured using the front light arrangement 15, and the image sent for processing as described, the front illumination can be switched off and the oblique illumination 16 switched on, for a second, oblique-lit image to be formed. Since the seams lib are raised this oblique lighting will highlight the edge of any seam nearest the light source and cast a shadow from the other edge. The position of the light source will be chosen with regard to the way the garments 11 are so presented on the conveyor 12 as to ensure that there is always a highlight and a shadow for each seam.
  • a second image is now captured under this oblique illumination which contains information about the structure of the garment within its periphery - the raised, wide seam and waistband structure.
  • Figure 4 shows such a second image, with highlights 41 and shadows 42 indicating the edges of the seams 11b and the waistband.
  • the highlights 41 and shadows 42 are processed separately.
  • the image (or rather a copy of it), to process the shadows is grey-scale segmented using an appropriate threshold to leave just shadows information. Since the shadows will not necessarily be sharp and since there may be spurious shadows from other parts of the garment, the image is further processed appropriately to sharpen up the shadows and eliminate spurious information.
  • One way to do this is to isolate features, starting e.g with vertical features, of which, in
  • Y-front underwear there should be only one, namely the shadow of one edge of the centre vertical seam.
  • a straight line is fitted to this feature by defining a box including the uppermost, lowermost and extreme lateral points and testing straight lines passing
  • FIG 7 shows the waistband area S 1 so
  • one region has significantly more faults than others, and it will advantageously be arranged that the apparatus stores statistics from which this can be determined and which can be used to
  • the arrangement operating thus heuristically may also be used to determine which area of manufacture must be tackled first from the point of view of fault elimination.

Landscapes

  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Textile Engineering (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biochemistry (AREA)
  • Physics & Mathematics (AREA)
  • Analytical Chemistry (AREA)
  • Materials Engineering (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Food Science & Technology (AREA)
  • Medicinal Chemistry (AREA)
  • Treatment Of Fiber Materials (AREA)

Abstract

Procédé et appareil de contrôle automatique pour les vêtements qui comportent des morceaux de tissu séparés par des coutures. Selon le procédé, on forme une image du vêtement, on identifie les coutures représentées sur l'image, et l'on contrôle chaque zone de tissu séparément.Method and apparatus for automatic control of garments which have pieces of fabric separated by seams. According to the method, an image of the garment is formed, the seams shown in the image are identified, and each zone of fabric is checked separately.

Description

INSPECTING GARMENTS
This invention relates to inspecting garments and particularly garments such as Y-front underwear comprising garment panels separated by seams.
Inspection of mass-produced garments such as socks and underwear is a particularly labour-intensive operation. The garments are inspected, currently, by eye for dimensional defects and to check that the correct size label is applied, for making-up defects - badly sewn or missing seams, for example, for labelling defects, colour variations and fabric defects such as holes, stains, printing defects, colour defects and others. The number of personnel engaged on such inspection quite often substantially exceeds the number engaged in production.
Automatic inspection, using machine vision, is clearly desirable. The difficulty is to develop a methodology by which images can be formed and inspected automatically, sufficiently rapidly to keep pace with production, with a high detection efficiency and a low rejection rate for fault-free garments, using equipment which is not prohibitively expensive. The invention comprises a method for
automatically inspecting garments which have panels separated by seams, comprising the steps of :- forming an image from the garment, identifying the seams on the image, and inspecting the panel areas individually.
The invention is particularly applicable to garments in which the seams themselves have width, when the seams may also be inspected. Seams which stand proud of the adjacent panels - more generally, seams which have a z-coordinate with respect to the x,y coordinates of the garment surface - may be detected by shadows and highlights from oblique illumination.
The method of the invention may be adapted for inspecting Y-front underwear, which comprises panels edged with wide, raised seam and waistband structures, when it may comprise the steps of :- forming an image of the front of the garment laid flat, locating on the image the outline of the garment, locating on the image the edges of the wide, raised seam and waistband structures, and inspecting the panels and the wide, raised seam and waistband structures located on the image for faults. The garment may be measured for sizing from the image of the front of the garment, and may be illuminated with front lighting to form this image, after which the garment is illuminated with oblique lighting to locate the edges of the wide, raised seam and waistband
structures and images thereof are superimposed on the image formed by front lighting.
The invention also comprises apparatus for automatically inspecting garments which have panels separated by seams comprising :- imaging means for forming an image of the garment, seam identifying means for identifying the seams on the image formed by the imaging means, and panel inspection means for individually
inspecting the panel areas on the said image.
The imaging means may comprise an area scan video camera aimed at a background against which the garment can be laid flat and front and oblique lighting for garments so laid against the background.
The seam identifying means may comprise image processing means identifying highlights and shadows on an obliquely illuminated image and superimposing images thereof on a front-lit image of the garment.
The panel inspection means may comprise image processing means adapted to identify a panel on the image and process the same to detect faults therein according to predetermined criteria and to activate alarm or garment rejection arrangements upon fault detection.
The panel inspection means may be arranged to process each of a plurality of panels of the image sequentially. Fault recording means may be adapted to record the occurrences of faults associated with each of a plurality of panels on a batch inspection of similar garments. The apparatus may then also comprise
heuristic control means arranging the said plurality of panels in a sequence for inspection according to the incidence of faults for each panel recorded as the batch inspection processes.
One embodiment of apparatus and a method for automatically inspecting garments according to the invention will now be described with reference to the accompanying drawings, in which :-
Figure 1 is a general view of the apparatus;
Figure 2 is a first image produced by the
apparatus of Figure 1;
Figure 3 illustrates a processing step in
assessing the dimensions of a garment from the first image;
Figure 4 is a second image produced by the
apparatus;
Figure 5 illustrates a processing step in
determining the positions of seams in the garment from the second image;
Figure 6 illustrates the step of superimposing seams located from the second image on the first image; and Figure 7 illustrates a step in the fault detection operation.
The drawings illustrate automatic garment inspection apparatus engaged in the inspection of
Y-front underwear 11 presented laid flat on a conveyor 12 passing beneath an area scan video camera 13 which images each garment in turn for processing in image processing apparatus 14.
Y-front underwear poses special problems for automatic, machine-vision inspection, inasmuch as it comprises panels 11a with intervening seams lib.
Treating the garment as a single panel would require the signals produced by the seams to be somehow ignored.
Matching the image to a standard template does not take account of the fact that textile processes do not result in uniformly sized or configured garments. The drawings illustrate a method in which the seams lib are identified and the panel areas 11a inspected individually.
In Y-front underwear, the seams 14b themselves have width, and the method also allows the seams 11b to be inspected. If the seams lib could be relied upon to have a different colour or a different texture from the panels 11a, such difference could be used to identify the seams However, generally speaking, the seams are identical with or very similar in appearance to the panels.
Instead, in the preferred method of the invention, use is made of the fact that Y-front garment seams stand proud of the adjoining panels, that is to say they have a z-coordinate with respect to the x,y-coordinates of the garment surface.
It will be understood that the garments 14 have a front and a back and that both may require to be inspected. This is not necessarily the case - preinspection of fabric may reduce the incidence of fabric faults to negligible proportions, and thus the only faults which require to be detected are making-up faults, which may be found to occur almost entirely on the complicated front and hardly ever on the much simplar back of the garment. If both sides have to be inspected, however, the procedure will be repeated, mutatis mutando, with the garments, turned over. The present description will be with regard to inspection of the front. However, with some designs of Y-front underwear, laying the garment face up exposes the legopening seam all the way round, and then inspecting the reverse side may be unnecessary. An image is first formed of the garment 11 using the front lighting set-up 15. This image - which might be averaged over two or more frames for noise-reduction purposes - is stored in a frame store of the apparatus 14 and segmented using an appropriate grey-scale
threshold so that the image is uniformly dark against a bright background as seen in Figure 2 - or the other way round, of course, whichever is desired. The outline of this image is then determined using a robot edge-follower program in which a notional robot group of pixels is scanned across the image until dark pixels are encountered and the group is then moved and rotated so as to maintain both light and dark pixels in its composition thus tracing out the edge of the image. The position of each step is stored so that at the end of the edge-tracing operation there is a
collection of pixels of the image (xi, yi) that
define the edge.
The centroid (X,Y) of the image - Figure 3 - is determined as V
where N is the number of points on the periphery, which is a reasonable approximation from a simple and rapid calculation. The distance from the centroid (X,Y) of each edge pixel (xi,yi) is calculated as
Di =√[ (X - xi)2 + (Y - yi)2] The image is then divided from the centroid into six areas a, b, c, d, e, f, each containing a single corner A, B, C, D, E, F, which is the point in the area furthest from the centroid. Each corner A, B, C, D, E, F is found by finding the highest Di encountered in the course of stepping around all the edge points of the area.
Once the coordinates (xA,yA), (xB,yB),
(xC,yC), (xD,yD), (xE,yE), (xF,yF) of
the corners A, B, C, D, E, F have been found, the following dimensions are calculated :-
Side leg including waistband
A-C - √[(xA - xC)2 (yA - yC)2]
Leg opening
C-E = √ [(xC - xE)2 + (yC - yE)2] Crotch width
E-F = √ [(xE - xF)2 + (yE - yF)2]
Waist
B -A = √ [(xB - xA)2 + (yB - yA)2]
These dimensions are used to check that a garment of a given size is within tolerances or to separate garments of different sizes and to check that all measurements are within tolerances for the size so determined.
The conveyor 12 is conveniently stopped for the imaging so that once the first image referred to above has been captured using the front light arrangement 15, and the image sent for processing as described, the front illumination can be switched off and the oblique illumination 16 switched on, for a second, oblique-lit image to be formed. Since the seams lib are raised this oblique lighting will highlight the edge of any seam nearest the light source and cast a shadow from the other edge. The position of the light source will be chosen with regard to the way the garments 11 are so presented on the conveyor 12 as to ensure that there is always a highlight and a shadow for each seam. A second image is now captured under this oblique illumination which contains information about the structure of the garment within its periphery - the raised, wide seam and waistband structure. Figure 4 shows such a second image, with highlights 41 and shadows 42 indicating the edges of the seams 11b and the waistband.
The highlights 41 and shadows 42 are processed separately. The image (or rather a copy of it), to process the shadows, is grey-scale segmented using an appropriate threshold to leave just shadows information. Since the shadows will not necessarily be sharp and since there may be spurious shadows from other parts of the garment, the image is further processed appropriately to sharpen up the shadows and eliminate spurious information. One way to do this is to isolate features, starting e.g with vertical features, of which, in
Y-front underwear there should be only one, namely the shadow of one edge of the centre vertical seam. A straight line is fitted to this feature by defining a box including the uppermost, lowermost and extreme lateral points and testing straight lines passing
through the box, generated automatically by a series of equations to select the one that passes through the most data points - using a suitable segmentation threshold level to separate the shadow information will result in that information being a set of isolated data points rather than an extended area, as shown in Figure 5, which shows a trial line 51 being fitted to a set of shadow points 52 on an inclined seam edge. This process is repeated for all the other shadow sections until an image can be assembled of the sharpened-up shadow region. The same is then done for the highlights, so as to produce a diagram like Figure 6 showing a representation on the image first captured .
The image is now divided up into sections S1, S2 etc boarded either by an edges, shadows and
highlights. Each section S1, S2 etc, whether it be of a panel 11a or a wide seam lib, is then isolated and subjected to fault detection processing by image
segmentation using an appropriate threshold level, and filtering or any other appropriate technique to check for extended areas of differentation from the threshold background which indicate fabric and/or making-up
faults. Figure 7 shows the waistband area S1 so
separated for the fault detection operation, the
remainder of the sections S2-S7 being examined in
turn.
Of course, if a fault is detected, further inspection might be regarded as futile, and the
inspection process might usefully be terminated with the apparatus activating an alarm or rejection mechanism 19 (Figure 1).
It may be found that one region has significantly more faults than others, and it will advantageously be arranged that the apparatus stores statistics from which this can be determined and which can be used to
determine the ranking order for the panels 11a and lib of the garment 11 for fault occurrence. Then the section with the highest number of faults can be
selected to be examined first into the fault detection stage, the arrangement operating thus heuristically. Of course, the thus collected statistics may also be used to determine which area of manufacture must be tackled first from the point of view of fault elimination.

Claims

1. A method for automatically inspecting garments, which have panels separated by seams, comprising the steps of :- forming an image from the garment, identifying the seams on the image, and inspecting the panel areas individually.
2. A method according to claim 1 for garments, in which the seams themselves have width and the seams are also inspected.
3. A method according to claim 1 or claim 2, in which seams which have a z-coordinate with respect to the x,y coordinates of the garment surface are detected by shadows and highlights from oblique illumination.
4. A method according to any one of claims 1 to 3, for inspecting Y-front underwear, which comprises panels edged with wide, raised seam and waistband structures, comprising the steps of :- forming an image of the front of the garment laid flat, locating on the image the outline of the garment, locating on the image the edges of the wide, raised seam and waistband structures, and inspecting the panels and the wide, raised seam and waistband structures located on the image for faults.
5. A method according to claim 4, in which the garment is measured for sizing from the image of the front of the garment.
6. A method according to claim 4 or claim 5, in which the garment is illuminated with front lighting to form the image.
7. A method according to claim 6, in which the garment is illuminated with oblique lighting to locate the edges of the wide, raised seam and waistband
structures and images thereof are superimposed on the image formed by front lighting.
8. Apparatus for automatically inspecting garments which have panels separated by seams comprising :- imaging means for forming an inage of the garment, seam identifying means for identifying the seams on the image formed by the imaging means, and panel inspection means for individually
inspecting the panel areas on the said image.
9. Apparatus according to claim 8, in which the imaging means comprise an area scan video camera aimed at a background against which the garment can be laid flat and front and oblique lighting for a garment so laid against the background.
10. Apparatus according to claim 9, in which the seam identifying means comprise image processing means identifying highlights and shadows on an obliquely illuminated image and superimposing images thereof on a front-lit image of the garment.
11. Apparatus according to any one of claims 8 to 10, in which the panel inspection means comprise image processing means adapted to identify a panel on the image and the same to detect faults therein according to predetermined criteria and to activate alarm or garment rejection arrangements upon fault detection.
12. Apparatus according to any one of claims 8 to 11, in which the panel inspection means are arranged to process each of a plurality of panels of the image sequentially.
13. Apparatus according to claim 12, comprising fault recording means adapted to record the occurrences of the faults associated with each of a plurality of panels on a batch inspection of similar garments.
14. Apparatus according to claim 13, comprising heuristic control means arranging the said plurality of panels in a sequence for inspection according to the incidence of faults for each panel recorded as the batch inspection progresses.
EP19910915109 1990-08-22 1991-08-20 Inspecting garments Withdrawn EP0544752A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
GB909018470A GB9018470D0 (en) 1990-08-22 1990-08-22 Inspecting garments
GB9018470 1990-08-22

Publications (1)

Publication Number Publication Date
EP0544752A1 true EP0544752A1 (en) 1993-06-09

Family

ID=10681082

Family Applications (1)

Application Number Title Priority Date Filing Date
EP19910915109 Withdrawn EP0544752A1 (en) 1990-08-22 1991-08-20 Inspecting garments

Country Status (5)

Country Link
EP (1) EP0544752A1 (en)
JP (1) JPH06500395A (en)
AU (1) AU8431291A (en)
GB (1) GB9018470D0 (en)
WO (1) WO1992003721A1 (en)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB9008632D0 (en) * 1990-04-17 1990-06-13 Leicester Polytechnic Inspecting garments
WO1999023293A1 (en) * 1997-11-03 1999-05-14 Cognivision Research, S.L. Visual inspection process for textile garments and system for implementing such process
IT1305233B1 (en) 1998-11-26 2001-04-19 Lavanderie Dell Alto Adige S P METHOD AND EQUIPMENT TO CHECK THE COLOR AND REFLECTIVITY OF HIGH VISIBILITY CLOTHES.
PT102835B (en) 2002-09-03 2004-08-31 Continental Mabor Ind De Pneus MONITORING SYSTEM AND AUTOMATIC CONTROL OF TOLERANCE IN TEXTILE CLOTH OVERLAYS AMENDMENTS.
WO2016056034A1 (en) * 2014-10-06 2016-04-14 Bezzi Giorgio Automatic control system and method for clothing items
JP6421886B1 (en) * 2018-02-01 2018-11-14 オムロン株式会社 Information processing apparatus, clothing separation system, information processing method, and control program
EP3594405A3 (en) * 2018-07-10 2020-03-11 Herbert Kannegiesser GmbH Method for inspecting treated textile articles, in particular items of clothing
CN115624227A (en) * 2022-06-16 2023-01-20 旭日商贸(中国)有限公司 Garment processing intelligent transmission process flow method and system based on AOI

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2186365B (en) * 1983-07-16 1988-05-25 Nat Res Dev Inspecting textile items
DD243518A1 (en) * 1985-12-18 1987-03-04 Karl Marx Stadt Tech Hochschul ARRANGEMENT FOR SIGNAL INFLUENCE IN OPTOELECTRONIC MEASURING AND MONITORING DEVICES, PREFERABLY FOR TEXTILE FLUID IMAGES, FAEDES AND WORK ELEMENTS ON TEXTILE MACHINES
GB8823215D0 (en) * 1988-10-04 1988-11-09 Gen Electric Sheet feeding method & apparatus

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See references of WO9203721A1 *

Also Published As

Publication number Publication date
GB9018470D0 (en) 1990-10-03
WO1992003721A1 (en) 1992-03-05
AU8431291A (en) 1992-03-17
JPH06500395A (en) 1994-01-13

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