CN109518446A - A kind of intelligent method of cutting out of cutter - Google Patents
A kind of intelligent method of cutting out of cutter Download PDFInfo
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- CN109518446A CN109518446A CN201811575253.6A CN201811575253A CN109518446A CN 109518446 A CN109518446 A CN 109518446A CN 201811575253 A CN201811575253 A CN 201811575253A CN 109518446 A CN109518446 A CN 109518446A
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- cut
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- 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
- D06H7/00—Apparatus or processes for cutting, or otherwise severing, specially adapted for the cutting, or otherwise severing, of textile materials
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/0008—Industrial image inspection checking presence/absence
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30124—Fabrics; Textile; Paper
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2210/00—Indexing scheme for image generation or computer graphics
- G06T2210/22—Cropping
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Data Mining & Analysis (AREA)
- Life Sciences & Earth Sciences (AREA)
- Treatment Of Fiber Materials (AREA)
- Health & Medical Sciences (AREA)
- Evolutionary Biology (AREA)
- General Engineering & Computer Science (AREA)
- Textile Engineering (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Bioinformatics & Computational Biology (AREA)
- Signal Processing (AREA)
- Evolutionary Computation (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Quality & Reliability (AREA)
- Geometry (AREA)
Abstract
The present invention provides a kind of intelligent method of cutting out of cutter, and cloth to be cut is layed in clipping region；Video camera obtains the image of cloth to be cut, and real-time delivery is to controller；Controller identification icon information, and compared with storage pattern, if the pattern, execute original clip path；If without the pattern, then controller carries out data to the pattern using clustering algorithm and calculates comparison, and judge the cloth with the presence or absence of flaw, flaw then executes former clip path if it does not exist, otherwise controller automatically generating program, the lines of cloth to be cut are converted to new clip path to hold, executing agency is cut and is cut along clip path.The intelligent method of cutting out of cutter of the present invention, it is capable of the flaw of automatic identification cloth to be cut, and maximum clip path can be planned automatically according to the position of flaw and size, cloth can effectively be saved, flaw cloth is avoided to be made into finished product simultaneously, it results in waste of resources, greatly reduces production cost.
Description
Technical field
The invention belongs to fabric method of cutting out fields, more particularly, to a kind of intelligent method of cutting out of cutter.
Background technique
Automatic cutting machines is the raw material cutting device for multiple manufacturings such as luggage, clothes, shoes industry, and substitution is artificial
It cuts out, and automatic cutting is carried out to materials to be clipped by computer control, to substantially increase the essence of production efficiency and cutting
Exactness.Automatic cutting machines currently on the market is usually all to carry out according to pre-set clip path to the cloth come is spread out
It cuts.However, it is contemplated that producing the beauty of product, when cutting the cloth with special printed pattern, sanction is often required that
It cuts the printed pattern on the cloth come and keeps symmetrical or complete.For example, when cutting the cloth of graphic design, since cloth is spread
If obtaining not smooth enough or cloth itself has the reasons such as elasticity, after being cut according to pre-set clip path, can usually go out
Existing striped dislocation, that is, cut the cloth to get off and be not able to maintain uniform fringe；Again, existing when cutting has flaw on cloth
Cutter tend not to identify or identify after directly ignore, cut still according to original path, thus make most throughout one's life
The finished product that output is come has flaw, wastes raw material and processing cost, causes that increased production cost, and can reduce working efficiency.
Summary of the invention
In view of this, the present invention is directed to propose a kind of intelligent method of cutting out of cutter, can be known automatically with providing one kind
The flaw of cloth not cut, and the intelligent cutting side of maximum clip path can be planned automatically according to the position of flaw and size
Method.
In order to achieve the above objectives, the technical scheme of the present invention is realized as follows:
A kind of intelligent method of cutting out of cutter includes the following steps: S1, cloth to be cut is layed in clipping region；
S2, video camera obtain the image being located in the clipping region wait cut pattern on cloth, and real-time delivery is to controller；S3,
Controller identifies the information of above-mentioned pattern, and compares with the pattern stored in memory, if being stored with S2 in memory
The pattern that step obtains, then controller action executes in clip path and cuts action command；If not stored in S4, memory have S2
The pattern that step obtains, then first by the pattern obtained in S2 step storage into memory, controller is using clustering algorithm to obtaining
The cloth to be cut taken carries out color cluster and obtains data, then with the data comparison in memory, judges that cloth to be cut is
No there are flaws, and flaw, then cut according to the clip path of S2 step if it does not exist；If S5, the cluster by controller
There are flaws for algorithm interpretation cloth to be cut, and are compared, are selected with the data in memory according to the position of flaw and size
Now corresponding clip path is cut when the flaw, and this operation data is stored in memory；If in S6, memory not
In the presence of clip path corresponding with the position of above-mentioned flaw and size, then controller automatically generating program, by cloth to be cut
Lines are converted to clip path and execute action command, so that clipping region maximizes, and store to memory；S7, the cutting
Path action actuating mechanism cuts cloth to be cut along the clip path.
Further, described the specific steps of data are obtained using clustering algorithm are as follows: using clustering algorithm to getting
Cloth to be cut carries out color cluster to obtain color lump figure to be cut；Establish rectangle frame treat cut color lump figure carry out repeatedly cut with
Obtain color lump figure group；Color lump figure group is screened according to color lump distribution rule so that color lump figure, the color lump distribution rule must be cut
Including color lump color and position, color lump area accounting, width ratio and height ratio；Cut data is generated according to color lump figure is cut.
Further, the controller is single-chip microcontroller or PLC.
Further, the video camera is CCD industrial camera.
Further, the memory is harddisk memory or cloud disk memory.
Further, the controller is connected separately to the video camera, the clip path action actuating mechanism
With the memory.
Further, the video camera is mounted on above the clipping region.
Further, the shot-light towards the clipping region is installed around the video camera.
Further, the clipping region has opposite import sideline and outlet sideline, the path finding algorithm are as follows:
It will be located in the clipping region and along all pattern lines on the outlet sideline to import sideline direction successively
Number, and the N articles pattern line is chosen, N is natural number.
Compared with the existing technology, the intelligent method of cutting out of cutter of the present invention has the advantage that
(1) the intelligent method of cutting out of cutter of the present invention is capable of the flaw of automatic identification cloth to be cut, and energy
It plans maximum clip path automatically according to the position of flaw and size, can effectively save cloth, while flaw cloth being avoided to do
It at finished product, results in waste of resources, greatly reduces production cost.
(2) the intelligent method of cutting out of cutter of the present invention substantially increases identification flaw position using clustering algorithm
Set the accuracy rate with size.
Specific embodiment
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase
Mutually combination.
In the description of the present invention, it is to be understood that, term " center ", " longitudinal direction ", " transverse direction ", "upper", "lower",
The orientation or positional relationship of the instructions such as "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outside" is
It is based on the orientation or positional relationship shown in the drawings, is merely for convenience of description of the present invention and simplification of the description, rather than instruction or dark
Show that signified device or element must have a particular orientation, be constructed and operated in a specific orientation, therefore should not be understood as pair
Limitation of the invention.In addition, term " first ", " second " etc. are used for description purposes only, it is not understood to indicate or imply phase
To importance or implicitly indicate the quantity of indicated technical characteristic.The feature for defining " first ", " second " etc. as a result, can
To explicitly or implicitly include one or more of the features.In the description of the present invention, unless otherwise indicated, " multiple "
It is meant that two or more.
In the description of the present invention, it should be noted that unless otherwise clearly defined and limited, term " installation ", " phase
Even ", " connection " shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or be integrally connected；It can
To be mechanical connection, it is also possible to be electrically connected；It can be directly connected, can also can be indirectly connected through an intermediary
Connection inside two elements.For the ordinary skill in the art, above-mentioned term can be understood by concrete condition
Concrete meaning in the present invention.
The present invention will be described in detail below with reference to the accompanying drawings and embodiments.
A kind of intelligent method of cutting out of cutter, includes the following steps:
S1, cloth to be cut is layed in clipping region；
S2, video camera obtain the image being located in the clipping region wait cut pattern on cloth, and real-time delivery is to control
Device processed；
S3, controller identify the information of above-mentioned pattern, and compare with the pattern stored in memory, if memory
In be stored with S2 step acquisition pattern, then controller action in clip path execute cut action command；
If the not stored pattern for having S2 step to obtain, first arrives the pattern storage obtained in S2 step in S4, memory
In memory, controller carries out color cluster to the cloth to be cut of acquisition using clustering algorithm and obtains data, then with storage
Data comparison in device judges that cloth to be cut whether there is flaw, if it does not exist flaw, then according to the clip path of S2 step
It is cut；
If S5, by the clustering algorithm interpretation cloth to be cut of controller, there are flaws, according to the position of flaw and size
Compared with the data in memory, selection when there is the flaw corresponding clip path cut, and by this operand
According in deposit memory；
If clip path corresponding with the position of above-mentioned flaw and size is not present in S6, memory, controller is automatic
Program is generated, the lines of cloth to be cut are converted into clip path and execute action command, so that clipping region maximizes, and are deposited
It stores up to memory；
S7, the clip path action actuating mechanism cut cloth to be cut along the clip path.
It is described that the specific steps of data are obtained using clustering algorithm are as follows:
Clustering algorithm is used to carry out color cluster to the cloth to be cut got to obtain color lump figure to be cut；
It establishes rectangle frame and treats the multiple cutting of cutting color lump figure progress to obtain color lump figure group；
Color lump figure group is screened according to color lump distribution rule so that color lump figure must be cut, the color lump distribution rule includes
Color lump color and position, color lump area accounting, width ratio and height ratio；
Cut data is generated according to color lump figure is cut.
The controller is single-chip microcontroller or PLC.
The video camera is CCD industrial camera, and CCD industrial camera is the most commonly used image sensing of current machine vision
Device.It integrates photoelectric conversion and charge storage, electric charge transfer, signal-obtaining, is typical solid imaging device.CCD's
Outstanding feature be using charge as signal, and be different from other devices be using electric current or voltage as signal.This kind of image device
Charge packet is formed by photoelectric conversion, then shifted under the action of driving pulse, amplify output picture signal.Typical CCD
Camera is made of optical lens, timing and synchronous generator, vertical driver, analog/digital signal processing circuit.CCD
As a kind of function element, compared with vacuum tube, have many advantages, such as that nothing is burnt, without lag, low voltage operating, low-power consumption.
The memory is harddisk memory or cloud disk memory, can be arranged according to the actual situation, and amount of storage is big, installation is clever
It is living, it is versatile.
The controller is connected separately to the video camera, the clip path action actuating mechanism and the storage
Device.
The video camera is mounted on above the clipping region.
Shot-light towards the clipping region is installed around the video camera, is conducive to the figure of camera shooting clear
Picture.
The clipping region has opposite import sideline and outlet sideline, the path finding algorithm are as follows: will be located at institute
It states in clipping region and along all pattern line number consecutivelies on the outlet sideline to import sideline direction, and selects
The N articles pattern line is taken, N is natural number.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Within mind and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (9)
1. a kind of intelligent method of cutting out of cutter, characterized by the following steps:
S1, cloth to be cut is layed in clipping region；
S2, video camera obtain the image being located in the clipping region wait cut pattern on cloth, and real-time delivery is to controller；
S3, controller identify the information of above-mentioned pattern, and compare with the pattern stored in memory, if depositing in memory
The pattern of S2 step acquisition is contained, then controller action executes in clip path and cuts action command；
If the not stored pattern for thering is S2 step to obtain, the pattern storage to storage that will first be obtained in S2 step in S4, memory
In device, controller carries out color cluster using to be cut cloth of the clustering algorithm to acquisition and obtains data, then and in memory
Data comparison, judge cloth to be cut with the presence or absence of flaw, flaw, then carry out according to the clip path of S2 step if it does not exist
It cuts；
If S5, by the clustering algorithm interpretation cloth to be cut of controller there are flaw, according to the position of flaw and size with deposit
Data in reservoir compare, and corresponding clip path is cut when selecting the flaw occur, and this operation data is deposited
Enter in memory；
If clip path corresponding with the position of above-mentioned flaw and size is not present in S6, memory, controller is automatically generated
Program, by the lines of cloth to be cut be converted to clip path execute action command so that clipping region maximize, and store to
Memory；
S7, the clip path action actuating mechanism cut cloth to be cut along the clip path.
2. a kind of intelligent method of cutting out of cutter according to claim 1, it is characterised in that: described to use clustering algorithm
Obtain the specific steps of data are as follows:
Clustering algorithm is used to carry out color cluster to the cloth to be cut got to obtain color lump figure to be cut；
It establishes rectangle frame and treats the multiple cutting of cutting color lump figure progress to obtain color lump figure group；
Color lump figure group is screened according to color lump distribution rule color lump figure must be cut, the color lump distribution rule includes color lump
Color and position, color lump area accounting, width ratio and height ratio；
Cut data is generated according to color lump figure is cut.
3. a kind of intelligent method of cutting out of cutter according to claim 1, it is characterised in that: the controller is monolithic
Machine or PLC.
4. a kind of intelligent method of cutting out of cutter according to claim 1, it is characterised in that: the video camera is CCD
Industrial camera.
5. a kind of intelligent method of cutting out of cutter according to claim 1, it is characterised in that: the memory is hard disk
Memory or cloud disk memory.
6. a kind of intelligent method of cutting out of cutter according to claim 1, it is characterised in that: the controller is believed respectively
Number it is connected to the video camera, the clip path action actuating mechanism and the memory.
7. a kind of intelligent method of cutting out of cutter according to claim 1, it is characterised in that: the video camera is mounted on
Above the clipping region.
8. a kind of intelligent method of cutting out of cutter according to claim 1, it is characterised in that: around the video camera
Shot-light towards the clipping region is installed.
9. a kind of intelligent method of cutting out of cutter according to claim 1, it is characterised in that: the clipping region has
Opposite import sideline and outlet sideline, the path finding algorithm are as follows: will be located in the clipping region and along it is described out
All pattern line number consecutivelies on mouth sideline to import sideline direction, and the N articles pattern line is chosen, N is nature
Number.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811575253.6A CN109518446B (en) | 2018-12-21 | 2018-12-21 | Intelligent cutting method of cutting machine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811575253.6A CN109518446B (en) | 2018-12-21 | 2018-12-21 | Intelligent cutting method of cutting machine |
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| Publication Number | Publication Date |
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| CN109518446A true CN109518446A (en) | 2019-03-26 |
| CN109518446B CN109518446B (en) | 2021-01-01 |
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ID=65797015
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109944052A (en) * | 2019-04-28 | 2019-06-28 | 季华实验室 | A kind of intelligent fabric dividing system of view-based access control model identification technology |
| CN111535004A (en) * | 2020-05-18 | 2020-08-14 | 东莞晶苑毛织制衣有限公司 | Cut-parts production integration system |
| CN113238523A (en) * | 2021-04-24 | 2021-08-10 | 深圳市星火数控技术有限公司 | Image self-recognition instruction self-programming control method and system |
| CN113403831A (en) * | 2021-07-28 | 2021-09-17 | 杭州尚艺实业有限公司 | Fabric flaw detection and cutting integrated system and using method thereof |
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| CN109944052A (en) * | 2019-04-28 | 2019-06-28 | 季华实验室 | A kind of intelligent fabric dividing system of view-based access control model identification technology |
| CN111535004A (en) * | 2020-05-18 | 2020-08-14 | 东莞晶苑毛织制衣有限公司 | Cut-parts production integration system |
| CN113238523A (en) * | 2021-04-24 | 2021-08-10 | 深圳市星火数控技术有限公司 | Image self-recognition instruction self-programming control method and system |
| CN113403831A (en) * | 2021-07-28 | 2021-09-17 | 杭州尚艺实业有限公司 | Fabric flaw detection and cutting integrated system and using method thereof |
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|---|---|
| CN109518446B (en) | 2021-01-01 |
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