CN103913467B - Quilting line breakage detection method based on machine vision - Google Patents
Quilting line breakage detection method based on machine vision Download PDFInfo
- Publication number
- CN103913467B CN103913467B CN201410135235.1A CN201410135235A CN103913467B CN 103913467 B CN103913467 B CN 103913467B CN 201410135235 A CN201410135235 A CN 201410135235A CN 103913467 B CN103913467 B CN 103913467B
- Authority
- CN
- China
- Prior art keywords
- fabric
- quilting
- image
- camera
- textile image
- 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.)
- Active
Links
Landscapes
- Sewing Machines And Sewing (AREA)
- Treatment Of Fiber Materials (AREA)
Abstract
The invention relates to a quilting line breakage detection method based on machine vision. The quilting line breakage detection method comprises the following specific steps: collection, namely collecting a fabric image; correction, namely correcting the collected fabric image; calibration, namely setting an initial line breakage detection region of the fabric image; tracking, namely determining a final line breakage detection region of the fabric image; and detection, namely processing the corrected fabric image so as to obtain a quilting line of a fabric subjected to quilting, detecting the line breakage of the fabric according to whether quilting lines exist in the line breakage region of the corrected fabric image, if M quilting lines exist in the line breakage detecting region, determining the quilting fabric is free of line breakage, if the number of quilting lines in the line breakage detecting region is less than M, determining the quilting fabric suffers from line breakage, and outputting a quilter stop signal or a line breakage alerting signal through a computer. The quilting line breakage detection method provided by the invention has the advantages that the accuracy is high, the real-time detection is performed, and the energy consumption is low.
Description
Technical field
The present invention relates to the use of machine vision and image processing techniquess carry out the technical field of on-line checking and in particular to one
Plant the quilting wire break detection method based on machine vision.
Background technology
Traditional fabric, in quilting, is mainly artificially observed, under-enumeration and detection problem not in time easily occur it is impossible to
Process disconnection problem in time, easily cause quality of production defect, bring adverse effect to production, will also result in waste of material and system
Making cost increases.
Develop with technology, the existing quilting break detection circuit panel using reference embroidery machine, but due to quantity
More, installing space is narrow, wiring is complicated, energy consumption is larger and trouble point is increased, is unfavorable for field maintenance；Or contact bar/
Contact switch formula quilting broken thread detector, but the contact bar of its detection means or contact switch are after contamination dust or dirt
Easily produce the situation of loose contact, and contact switch is after weathering, the phenomenon of action failure also easily, the two is all easily made
Become to report to the police not in time it is impossible to be monitored to product quality；Or the broken thread detector of mechanically or electrically formula, and this kind of knot
The broken thread detector of structure all can make to knit line and bear certain pretightning force, easily cause the abnormal wire-breakage knitting line, affect machine
Production efficiency.
Content of the invention
The purpose of the present invention is: not only degree of accuracy is high to provide one kind, and can real-time detection, low being regarded based on machine of energy consumption
The quilting wire break detection method felt, to overcome the shortcomings of prior art.
In order to achieve the above object, the technical scheme is that a kind of quilting burn out detection side based on machine vision
Method, its specific burn out detection step is:
A, collection；Described collection is the image a of the fabric after quilting shooting movement with camerainDeliver to computer, if
Fabric is that vertical cloth edge direction moves along the x-axis direction, then computer does not gather textile image, if fabric moves along the y-axis direction
Dynamic dy apart from when, then computer shoot textile image, wherein, i is camera sequence number, and i is positive integer, n be collection textile image
Sequence number, and n is positive integer；
B, correction；Described correction is to the textile image a collecting by computerinIt is corrected processing, after being corrected
Textile image be bin；
C, demarcation；Described demarcation is to the textile image b after correction by computerinSet initial burn out detection region, point
Wei not dr1、dr2、…drm, wherein, m is the number of the suture needle of quilter used by this fabric of quilting；
D, tracking；Described tracking be fabric after quilting along the y-axis direction move distance sy when, now, camera photographs r width
Textile image bin(1≤n≤r), wherein r=sy/dy, r and i are positive integer,
1～r-1 width textile image the b being shot by COMPUTER DETECTION camerainThe selvedge position of (1≤n≤r-1) or
It is the mark position of selvage guide roller edge, be designated as e respectively1、e2、…er-1, and this group data is preserved；
The r width textile image b being shot by camerairNatural selvedge position or selvage guide roller edge mark position er
With the 1st width textile image bi1Selvedge position or selvage guide roller edge mark position e1The relative displacement of x-axis direction be lx=
er-e1, and l is equally moved in the burn out detection region of fabric along the x-axis directionx, now, textile image birBurn out detection region divide
Wei not dr1+lx、dr2+lx、…drm+lx, and the 1st width textile image bi1Selvedge position or selvage guide roller edge marker bit
Put e1Outside the memory block of removal computer, remaining data is sequentially advanced a position, and by r width textile image birSelvedge position
Put or selvage guide roller edge mark position erPreserve；
E, detection；Described detection is to the textile image b after correcting in step binCarry out image procossing and obtain fabric through sewing with long stitches
Quilting line after seam, further according to the textile image b after correctioninBurn out detection region dr1+lx、dr2+lx、…drm+lxIt is inside
No have quilting line to judge whether fabric breaks, if burn out detection region dr1+lx、dr2+lx、…drm+lxInside there is m bar quilting line,
Then quilted fabric no breaks, if burn out detection region dr1+lx、dr2+lx、…drm+lxThe bar number ＜ m of interior quilting line, then quilting knit
Thing has broken string, and described computer export includes quilter stop sign or break alarm signal.
In technique scheme, collection in described step a is to control camera to clap with the encoder being set on fabric guide roll
Take the photograph the fabric after quilting of movement, computer receives code device signal, if fabric move along the y-axis direction dy apart from when,
Encoder exports corresponding p pulse, and now, camera shoots quilted fabric image ain.
In technique scheme, described camera controls in the range of 0.1～2.5 meter with horizontal range sc of fabric guide roll,
And the image acquisition region corresponding quilted fabric fabric width wc of camera controls in the range of 0.1～2.5 meter.
In technique scheme, set comprising the concrete steps that of camera number, knitted according to the fabric width w of quilted fabric, quilting
Thing x-axis direction largest motion is apart from lx, single camera shoot maximum fabric width wc and two cameras between overlapping region width
Wb, being calculated according to formula needs number n of cameraccd:Wherein, nccdFor positive integer.
In technique scheme, when the number of camera is 2 or more than 2, set the spacing of adjacent cameras, and phase
Between adjacent camera, overlapping region width wb controls in the range of 10～100mm.
In technique scheme, the camera in described step a is area array cameras, or line-scan digital camera, or ccd
Camera, or cmos camera.
In technique scheme, each the tessellated size of the gridiron pattern scaling board selected in described step b is
20mm × 20mm, and by transitting probability method to textile image ainCarry out image rectification, the textile image after being corrected is
bin.
In technique scheme, described step c Computer is to the textile image b after correctioninThe burn out detection setting
Region is that width is wd, is highly the rectangle burn out detection region of hd, wherein, the pixel of width wd controls in 10～15dip model
In enclosing, the pixel of height hd controls in the range of 20～30dip.
In technique scheme, to the textile image b after correction in described step einCarry out the concrete step of image procossing
Suddenly it is first to carry out y-axis Orientation Average Filtering, and the textile image obtaining after mean filter is blin, then again to textile image
blinCarry out x-axis Orientation Average Filtering, and obtain the textile image b after mean filterhin, according to formulaThreshold condition to textile image blinCarry out dynamic threshold segmentation, obtain
Obtain quilting line after quilting for the fabric, further according to the burn out detection region dr of textile image1+lx、dr2+lx、…drm+lxInside whether
Quilting line is had to judge whether fabric breaks, if burn out detection region dr1+lx、dr2+lx、…drm+lxInside there is m bar quilting line, then
Quilted fabric no breaks, if burn out detection region dr1+lx、dr2+lx、…drm+lxThe bar number ＜ m of interior quilting line, then quilted fabric
There is broken string, described computer export includes quilter stop sign or break alarm signal.
Compared with prior art, the good effect that the present invention has is: due to employing the burn out detection side of the present invention
After method, on-line checking is carried out using machine vision to fabric, replace artificial sampling observation, overcome manual detection high labor intensive and appearance
It is also easy to produce the low defect of visual fatigue, fabric flase drop, loss, also overcome contact bar/contact switch formula quilting burn out detection
Produce the phenomenon of loose contact or action failure, the burn out detection also overcoming mechanically or electrically formula can cause to knit the improper of line
The phenomenon of broken string；The wire break detection method of the present invention, not only degree of accuracy is high, and energy real-time detection, energy consumption are low, improve production
Efficiency and qualification rate, can effectively improve detection speed again.
Specific embodiment
Below in conjunction with the embodiment being given, the present invention is described in further detail.
A kind of quilting wire break detection method based on machine vision, its specific burn out detection step is:
A, collection；Described collection is the image a of the fabric after quilting shooting movement with camerainDeliver to computer, if
Fabric is that vertical cloth edge direction moves along the x-axis direction, then computer does not gather textile image, if fabric moves along the y-axis direction
Dynamic dy apart from when, then computer shoot textile image, wherein, i is camera sequence number, and i is positive integer, n be collection textile image
Sequence number, and n is positive integer；
B, correction；Described correction is to the textile image a collecting by computerinIt is corrected processing, after being corrected
Textile image be bin；
C, demarcation；Described demarcation is to the textile image b after correction by computerinSet initial burn out detection region, point
Wei not dr1、dr2、…drm, wherein, m is the number of the suture needle of quilter used by this fabric of quilting；
D, tracking；Described tracking be fabric after quilting along the y-axis direction move distance sy when, now, camera photographs r width
Textile image bin(1≤n≤r), wherein r=sy/dy, r and i are positive integer,
1～r-1 width textile image the b being shot by COMPUTER DETECTION camerainThe selvedge position of (1≤n≤r-1) or
It is the mark position of selvage guide roller edge, be designated as e respectively1、e2、…er-1, and this group data is preserved；
The r width textile image b being shot by camerairNatural selvedge position or selvage guide roller edge mark position er
With the 1st width textile image bi1Selvedge position or selvage guide roller edge mark position e1The relative displacement of x-axis direction be lx=
er-e1, and l is equally moved in the burn out detection region of fabric along the x-axis directionx, now, textile image birBurn out detection region divide
Wei not dr1+lx、dr2+lx、…drm+lx, and the 1st width textile image bi1Selvedge position or selvage guide roller edge marker bit
Put e1Outside the memory block of removal computer, remaining data is sequentially advanced a position, and by r width textile image birSelvedge position
Put or selvage guide roller edge mark position erPreserve；
E, detection；Described detection is to the textile image b after correcting in step binCarry out image procossing and obtain fabric through sewing with long stitches
Quilting line after seam, further according to the textile image b after correctioninBurn out detection region dr1+lx、dr2+lx、…drm+lxIt is inside
No have quilting line to judge whether fabric breaks, if burn out detection region dr1+lx、dr2+lx、…drm+lxInside there is m bar quilting line,
Then quilted fabric no breaks, if burn out detection region dr1+lx、dr2+lx、…drm+lxThe bar number ＜ m of interior quilting line, then quilting knit
Thing has broken string, and described computer export includes quilter stop sign or break alarm signal.
In step a of the present invention collection be with the encoder that is set on fabric guide roll control camera shoot movement through sewing with long stitches
Fabric after seam, computer receive code device signal, if fabric move along the y-axis direction dy apart from when, encoder output right
The p pulse answered, now, camera shoots quilted fabric image ain.
Camera of the present invention is controlled in the range of 0.1～2.5 meter with horizontal range sc of fabric guide roll, and the image of camera
Pickup area corresponding quilted fabric fabric width wc controls in the range of 0.1～2.5 meter.
The present invention sets the comprising the concrete steps that of camera number, according to the fabric width w of quilted fabric, quilted fabric x-axis direction
Big move distance lx, single camera shoot maximum fabric width wc and two cameras between overlapping region width wb, according to formula
Calculate number n needing cameraccd:Wherein, nccdFor positive integer.
The present invention, when the number of camera is 2 or more than 2, sets the spacing of adjacent cameras, and between adjacent cameras
Overlapping region width wb controls in the range of 10～100mm.
Camera in step a of the present invention is area array cameras, or line-scan digital camera, or ccd camera, or
Cmos camera.
Each the tessellated size of the gridiron pattern scaling board selected in step b of the present invention is 20mm × 20mm, and
By transitting probability method to textile image ainCarry out image rectification, the textile image after being corrected is bin.
Step c Computer of the present invention is to the textile image b after correctioninThe burn out detection region setting be width as
Wd, the rectangle burn out detection region highly for hd, wherein, the pixel of width wd controls in the range of 10～15dip, height hd's
Pixel controls in the range of 20～30dip.
To the textile image b after correction in step e of the present inventioninCarry out comprising the concrete steps that of image procossing, first carry out y
Direction of principal axis mean filter, and the textile image obtaining after mean filter is blin, then again to textile image blinCarry out x-axis direction
Mean filter, and obtain the textile image b after mean filterhin, according to formula
Threshold condition to textile image blinCarry out dynamic threshold segmentation, obtain quilting line after quilting for the fabric, further according to fabric figure
The burn out detection region dr of picture1+lx、dr2+lx、…drm+lxQuilting line inside whether is had to judge whether fabric breaks, if broken string inspection
Survey region dr1+lx、dr2+lx、…drm+lxInside there is m bar quilting line, then quilted fabric no breaks, if burn out detection region dr1+lx、
dr2+lx、…drm+lxThe bar number ＜ m of interior quilting line, then quilted fabric have broken string, described computer export include quilter stop
Signal or break alarm signal.Certainly, and be confined to this, to the textile image b after correction in step e of the present inventioninCarry out
The method of image procossing can also select sobel computing image processing method, or selects dynamic threshold segmentation image procossing
Method.
Due to employing the above-mentioned quilting wire break detection method based on machine vision, thus fabric warp can be detected in real time
Whether there is broken string after quilting, and in time broken string is reported to the police, substantially increase the quilting quality of fabric, reduce workman
Labor intensity.Not only degree of accuracy is high for the method for the present invention, and can real-time detection, energy consumption low, improve production efficiency and qualified
Rate, can effectively improve detection speed again.
Claims (9)
1. a kind of quilting wire break detection method based on machine vision it is characterised in that: its specific burn out detection step is:
A, collection；Described collection is the image a of the fabric after quilting shooting movement with camerainDeliver to computer, if fabric
It is that vertical cloth edge direction moves along the x-axis direction, then computer does not gather textile image, if fabric moves dy along the y-axis direction
Apart from when, then computer shoot textile image, wherein, i is camera sequence number, and i is positive integer, n be collection textile image sequence number,
And n is positive integer；
B, correction；Described correction is to the textile image a collecting by computerinIt is corrected processing, knitting after being corrected
Object image is bin；
C, demarcation；Described demarcation is to the textile image b after correction by computerinSet initial burn out detection region, respectively
dr1、dr2、…drm, wherein, m is the number of the suture needle of quilter used by this fabric of quilting；
D, tracking；Described tracking be fabric after quilting along the y-axis direction move distance sy when, now, camera photographs r width fabric
Image bin, wherein, 1≤n≤r, r=sy/dy, r and i are positive integer,
1～r-1 width textile image the b being shot by COMPUTER DETECTION camerainSelvedge position or selvage guide roller edge mark
Note position, is designated as e respectively1、e2、…er-1, and this group data is preserved, wherein, 1≤n≤r-1；
The r width textile image b being shot by camerairNatural selvedge position or selvage guide roller edge mark position erWith
1 width textile image bi1Selvedge position or selvage guide roller edge mark position e1The relative displacement of x-axis direction be lx=er-
e1, and l is equally moved in the burn out detection region of fabric along the x-axis directionx, now, textile image birBurn out detection region respectively
For dr1+lx、dr2+lx、…drm+lx, and the 1st width textile image bi1Selvedge position or selvage guide roller edge mark position
e1Outside the memory block of removal computer, remaining data is sequentially advanced a position, and by r width textile image birSelvedge position
Or mark position e of selvage guide roller edgerPreserve；
E, detection；Described detection is to the textile image b after correcting in step binCarry out image procossing and obtain fabric after quilting
Quilting line, further according to correction after textile image binAll of burn out detection region dr1+lx、dr2+lx、…drm+lxInterior
Quilting line whether is had to judge whether fabric breaks, if all of burn out detection region dr1+lx、dr2+lx、…drm+lxInside there is m
Bar quilting line, then quilted fabric no break, if all of burn out detection region dr1+lx、dr2+lx、…drm+lxInterior quilting line
Bar number ＜ m, then quilted fabric have broken string, described computer export includes quilter stop sign or break alarm signal.
2. the quilting wire break detection method based on machine vision according to claim 1 it is characterised in that: described step a
Middle collection is to control camera to shoot the fabric after quilting of movement with the encoder being set on fabric guide roll, and computer receives to be compiled
Code device signal, if fabric move along the y-axis direction dy apart from when, encoder export corresponding p pulse, now, camera bat
Take the photograph quilted fabric image ain.
3. the quilting wire break detection method based on machine vision according to claim 1 it is characterised in that: described camera with
Horizontal range sc of fabric guide roll controls in the range of 0.1～2.5 meter, and the image acquisition region of camera corresponding quilted fabric width
Wide wc controls in the range of 0.1～2.5 meter.
4. the quilting wire break detection method based on machine vision according to claim 1 it is characterised in that: set camera
The comprising the concrete steps that, according to the fabric width w of quilted fabric, quilted fabric x-axis direction largest motion apart from l of numberx, single camera shoot
Maximum fabric width wc and two cameras between overlapping region width wb, being calculated according to formula needs number n of cameraccd:Wherein, nccdFor positive integer.
5. the quilting wire break detection method based on machine vision according to claim 4 it is characterised in that: when camera
When number is for 2 or more than 2, set the spacing of adjacent cameras, and between adjacent cameras overlapping region width wb control 10～
In the range of 100mm.
6. the quilting wire break detection method based on machine vision according to claim 1 it is characterised in that: described step a
In camera be area array cameras, or line-scan digital camera, or ccd camera, or cmos camera.
7. the quilting wire break detection method based on machine vision according to claim 1 it is characterised in that: described step b
Each tessellated size of the gridiron pattern scaling board of middle selection is 20mm × 20mm, and by transitting probability method to textile image
ainCarry out image rectification, the textile image after being corrected is bin.
8. the quilting wire break detection method based on machine vision according to claim 1 it is characterised in that: described step c
Computer is to the textile image b after correctioninThe burn out detection region setting is width as wd, the rectangle broken string inspection highly for hd
Survey region, wherein, the pixel of width wd controls in the range of 10～15dip, and the pixel of height hd controls in 20～30dip scope
Interior.
9. the quilting wire break detection method based on machine vision according to claim 1 it is characterised in that: described step e
In to correction after textile image binCarry out comprising the concrete steps that of image procossing, first carry out y-axis Orientation Average Filtering, and average filter
The textile image obtaining after ripple is blin, then again to textile image blinCarry out x-axis Orientation Average Filtering, and obtain mean filter
Textile image b afterwardshin, according to formulaThreshold condition to fabric figure
As blinCarry out dynamic threshold segmentation, obtain quilting line after quilting for the fabric, further according to all of burn out detection of textile image
Region dr1+lx、dr2+lx、…drm+lxQuilting line inside whether is had to judge whether fabric breaks, if all of burn out detection region
dr1+lx、dr2+lx、…drm+lxInside there is m bar quilting line, then quilted fabric no breaks, if all of burn out detection region dr1+lx、
dr2+lx、…drm+lxThe bar number ＜ m of interior quilting line, then quilted fabric have broken string, described computer export include quilter stop
Signal or break alarm signal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410135235.1A CN103913467B (en) | 2014-04-04 | 2014-04-04 | Quilting line breakage detection method based on machine vision |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410135235.1A CN103913467B (en) | 2014-04-04 | 2014-04-04 | Quilting line breakage detection method based on machine vision |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103913467A CN103913467A (en) | 2014-07-09 |
| CN103913467B true CN103913467B (en) | 2017-01-25 |
Family
ID=51039309
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410135235.1A Active CN103913467B (en) | 2014-04-04 | 2014-04-04 | Quilting line breakage detection method based on machine vision |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103913467B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107740232B (en) * | 2017-10-16 | 2023-02-28 | 琦星智能科技股份有限公司 | Sewing machine broken thread detection device and detection method and sewing machine |
| CN110390278B (en) * | 2019-07-05 | 2022-05-31 | 北京大豪科技股份有限公司 | Sewing material boundary identification method and device, electronic equipment and storage medium |
| CN113066073A (en) * | 2021-04-09 | 2021-07-02 | 上海锡明光电科技有限公司 | Method and device for detecting wire breakage on dividing plate of winding machine and storage medium |
| CN116791281A (en) * | 2023-06-07 | 2023-09-22 | 桐乡众想纺织有限公司 | Quilting machine |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4608496A (en) * | 1982-12-03 | 1986-08-26 | Trelleborg Ab | Strand break detector |
| JP3008719U (en) * | 1994-09-08 | 1995-03-20 | 小田原工業株式会社 | Running yarn breakage detector |
| CN102042987A (en) * | 2009-10-10 | 2011-05-04 | 上海境彩环保科技有限公司 | Transmission-type woven fabric detection device |
| CN102680479A (en) * | 2012-04-27 | 2012-09-19 | 浙江工业大学 | System for detecting quality of carpet threads based on visual method |
-
2014
- 2014-04-04 CN CN201410135235.1A patent/CN103913467B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4608496A (en) * | 1982-12-03 | 1986-08-26 | Trelleborg Ab | Strand break detector |
| JP3008719U (en) * | 1994-09-08 | 1995-03-20 | 小田原工業株式会社 | Running yarn breakage detector |
| CN102042987A (en) * | 2009-10-10 | 2011-05-04 | 上海境彩环保科技有限公司 | Transmission-type woven fabric detection device |
| CN102680479A (en) * | 2012-04-27 | 2012-09-19 | 浙江工业大学 | System for detecting quality of carpet threads based on visual method |
Non-Patent Citations (1)
| Title |
|---|
| 基于视觉测量的绗缝加工智能控制;唐露新 等;《机床与液压》;20061231;第7卷;全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103913467A (en) | 2014-07-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103913467B (en) | Quilting line breakage detection method based on machine vision | |
| CN104441526B (en) | Mould in-service monitoring protection system and method based on appearance profile coupling | |
| CN202330297U (en) | Device for automatically detecting texture defects | |
| CN105044121B (en) | A kind of online defect detection device of circular knitting machine and detection method | |
| WO2015013831A1 (en) | Monitoring device for a weaving machine, weaving machine, and method for monitoring | |
| WO2022021774A1 (en) | Online detection method for circular weft knitting horizontal stripe defects based on grayscale gradient method | |
| CN206941272U (en) | Fabric sizing weft straightener based on machine vision | |
| EP3717685B1 (en) | Methods and systems for triggered on-loom fabric inspection | |
| CN101184878A (en) | Apparatus and method for in-line reading and control of warp threads in a loom | |
| CN107313161B (en) | Based on the continuous wefting insertion serging device and its Weft insertion method in three-dimensional ring braider | |
| US20210343002A1 (en) | Online Detection Method of Circular Weft Knitting Stripe Defects Based on Gray Gradient Method | |
| CN104928837A (en) | Warp knitting machine with thread breakage detection function and thread breakage detection method implemented by aid of warp knitting machine | |
| EP4055222A1 (en) | Methods and systems for multiple image collection in an on-loom fabric inspection system | |
| CN105386174A (en) | Siro spinning broken-strand detection device based on image technology and detection algorithm | |
| CN107144570A (en) | A kind of tufting machine row's yarn error-detecting method based on machine vision | |
| CN109580645A (en) | Defects identification equipment | |
| CN115508282B (en) | Online intelligent cloth inspection detection system | |
| CN117309759A (en) | Defect detection system, method, electronic device, and storage medium | |
| CN102680479A (en) | System for detecting quality of carpet threads based on visual method | |
| CN104345689B (en) | A kind of tricot machine yarn guiding chase comb rectifys quasi- control device certainly | |
| JP2018193655A (en) | Method of detecting knitting damage of knitted fabric in circular knitting machine, and apparatus | |
| CN203101284U (en) | Image-analysis-based real-time monitoring system for cloth defects | |
| CN110672209A (en) | Online detection method for warp knitting cloth color difference | |
| CN206346018U (en) | A kind of embroidery machine with Real-time quality monitoring system | |
| CN204008491U (en) | Quilting broken thread detector based on machine vision |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CP02 | Change in the address of a patent holder |
Address after: 213000 No.11, Lihua North Road, Chashan street, Tianning District, Changzhou City, Jiangsu Province Patentee after: Changzhou Hongda Electrical Co., Ltd. Address before: 213022 Taishan Road, Xinbei District, Jiangsu, China, No. 220, No. Patentee before: Changzhou Hongda Electrical Co., Ltd. |
|
| CP02 | Change in the address of a patent holder |