CN102229025B - Machine-vision-based mixed graph cutting process - Google Patents
Machine-vision-based mixed graph cutting process Download PDFInfo
- Publication number
- CN102229025B CN102229025B CN201110148311.9A CN201110148311A CN102229025B CN 102229025 B CN102229025 B CN 102229025B CN 201110148311 A CN201110148311 A CN 201110148311A CN 102229025 B CN102229025 B CN 102229025B
- Authority
- CN
- China
- Prior art keywords
- camera
- pattern
- cutting
- machine
- template
- 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
- Numerical Control (AREA)
Abstract
The invention relates to a machine-vision-based mixed graph cutting process, which comprises the following steps of: 11, manually controlling positioning of a mobile camera, shooting patterns in the valid range of a target object by the camera, setting templates of the patterns, and recording the positions of the patterns; 12, designing vector graphs corresponding to the templates; and 13, starting a cutting machine, wherein the camera gradually moves to a target position according to the sequence level of the templates and the recorded pattern positions, and the pattern corresponding to the current position of the camera is automatically cut after the camera moves each time till cutting of all the patterns is finished. The invention also provides another machine-vision-based mixed graph cutting process. By the machine-vision-based mixed graph cutting processes, the manual operation step is reduced, automation degree is relatively high, and one-time batch automatic cutting of the mixed graphs is realized.
Description
Technical field
The present invention relates to technical field of laser processing, particularly relate to a kind of mixed graph cutting technique based on machine vision.
Background technology
Current tradition based on the method for operating of the laser cutting machine of machine vision is: the first step, camera photographic subjects pattern A, arrange template A; Second step, design vector graphics, the vector graphics A that user need process according to the graphical design of shooting; 3rd step, start to carry out Full-automatic camera shooting processing link; This link order is: camera searches target pattern A automatically, search successfully and cut according to the figure A of design, complete or search the unsuccessful dollying head automatically that arrives then and, to next region, continue to search pattern A, cut, so until there is no the target of mating.As shown in Figure 1, it is the object to be cut being painted with single pattern, and object 100 surface is painted with a kind of pattern 101, and traditional method of operating based on the laser cutting machine of machine vision is generally useful in the situation of single pattern processing as shown in Figure 1.
As shown in Figure 2, it is the object to be cut being painted with multiple patterns.Object 200 surface is painted with the mixed graph comprising pattern 201, pattern 202, pattern 203 and pattern 204 etc.For the object shown in Fig. 2, with current cutting technique, cutting process is: camera system photographic subjects pattern A, arrange the template A corresponding to pattern A according to the image obtained, in template, record is used for the parameter of Machine Vision Recognition pattern, and camera system can carry out identification icon according to template, template also can be used to generating vector diagram shape, by Software for Design vector graphics A, starting the machine according to this pattern A of vector graphics A surface trimming, is once-through operation like this; After once-through operation completes, need the position of manual dollying head, camera system shooting another one target pattern B, then arrange template B, the vector graphics of layout B according to the image obtained, start the machine surface trimming pattern B; ... so carry out multiple operation.
When multiple patterns mixes so as shown in Figure 2, the problem adopting current cutting technique to carry out cutting is: 1. the cutting of many mixed graphs is more loaded down with trivial details, needs multi-pass operation; 2. omnidistance needs manually intervenes, and cannot realize mass and automatically process.
Summary of the invention
Therefore, the object of the invention is to the technical problem solving the manually intervention of the omnidistance needs of the existing mixed graph cutting technique based on machine vision, mass processing cannot be realized.
For achieving the above object, the invention provides a kind of mixed graph cutting technique based on machine vision, comprising: step 11, Non-follow control dollying head are located, and camera takes pattern in target object effective range, the template of often kind of pattern is set, records the position of each pattern; The vector graphics that step 12, design often kind of template are corresponding; Step 13, startup cutting machine, camera moves to target location one by one by the order rank of each template and the pattern position of record, the pattern that each mobile rear current camera position of surface trimming is corresponding, until complete figuratum cutting.
Wherein, in step 13, after moving, the target pattern that camera is taken in current location by camera system mates one by one with all templates at every turn, obtains the current location of the target pattern that the match is successful and carries out surface trimming according to corresponding vector graphics.
Wherein, after moving, first judge whether the position of camera exceeds the scope of processing breadth at every turn.
Present invention also offers a kind of mixed graph cutting technique based on machine vision, comprising: step 21, Non-follow control dollying head are located, and camera takes pattern in target object effective range, arranges the template of often kind of pattern; The vector graphics that step 22, design often kind of template are corresponding; Step 23, arrange the breadth scope of processing, start cutting machine, camera progressively moves by region is regular, and the pattern that after every moved further, the current camera position of surface trimming is corresponding, until complete figuratum cutting.
Wherein, in step 23, after every moved further, the target pattern that camera is taken in current location by camera system mates one by one with all templates, obtains the current location of the target pattern that the match is successful and carries out surface trimming according to corresponding vector graphics.
Wherein, after every moved further, first judge whether the position of camera exceeds the scope of processing breadth.
In sum, the mixed graph cutting technique that the present invention is based on machine vision decreases manual operation step, automaticity is higher, realizes disposable mass automation and completes mixed graph cutting.
Accompanying drawing explanation
Below in conjunction with accompanying drawing, by the specific embodiment of the present invention describe in detail, will make technical scheme of the present invention and other beneficial effects apparent.
In accompanying drawing,
Fig. 1 is the object to be cut being painted with single pattern;
Fig. 2 is the object to be cut being painted with multiple patterns;
Fig. 3 is the operation principle schematic diagram of the mixed graph cutting technique that the present invention is based on machine vision;
Fig. 4 is one based on the flow chart of the mixed graph cutting technique of machine vision in the present invention;
Fig. 5 is the flow chart of the another mixed graph cutting technique based on machine vision in the present invention;
Fig. 6 is the process chart of the preferred embodiment corresponding to Fig. 4;
Fig. 7 is the process chart of the preferred embodiment corresponding to Fig. 5;
Fig. 8 moves towards figure for camera when cutting by technological process shown in Fig. 6;
Fig. 9 moves towards figure for camera when cutting by technological process shown in Fig. 7;
Figure 10 is for performing the control program flow chart of the automatic camera processing link in process chart shown in Fig. 6;
Figure 11 is for performing the control program flow chart of the automatic camera processing link in process chart shown in Fig. 7.
Detailed description of the invention
As shown in Figure 3, it is the operation principle schematic diagram of the mixed graph cutting technique that the present invention is based on machine vision.When using cutting technique of the present invention, first on the software of laser cutting machine control system, design preparation is carried out, then start the machine, (target pattern can be arbitrary graphic pattern to have the target object to be cut 53 of mixed pattern, hypothetical target pattern is circular pattern, square pattern, triangle pattern) feeding can be carried out by workbench 52, laser cutting head and camera system 51 are synchronized with the movement on the beam guideway of laser cutting machine, first camera system 51 identifies the target object 53 on workbench 52 surface, determine various parameter, then the data that machine obtains according to camera system 51 send instruction to laser cutting head, laser cutting head starts the work of cutting.In Fig. 3, dotted portion represents effective coverage 54 of the camera of camera system 51, its movement with camera system 51 and change location, progressively take the whole surface of target object 53 to be cut by progressively dollying system 51, thus realize the Machine Vision Recognition to the whole surface of target object 53 to be cut.
As shown in Fig. 4,6 and 8, Fig. 4 is that Fig. 6 is the process chart of the preferred embodiment corresponding to Fig. 4, and Fig. 8 moves towards figure for camera when cutting by technological process shown in Fig. 6 one based on the flow chart of the mixed graph cutting technique of machine vision in the present invention.The mixed graph cutting technique based on machine vision shown in Fig. 4 comprises:
Step 11, Non-follow control dollying head are located, and camera takes pattern in target object effective range, arranges the template of often kind of pattern, records the position of each pattern.Such as, camera shooting circular pattern A, arrange the template of pattern A, produce template A, the position of each circular pattern preserved in record simultaneously; The position of manual dollying head, takes square pattern B in present scope, arranges the template of pattern B, produces template B, and the position of each square pattern preserved in record; The position of manual dollying head, arranges the template of triangle pattern C again, produces template C, and the position of each triangle pattern C preserved in record.
The vector graphics that step 12, design often kind of template are corresponding.According to stencil design vector graphics, design the vector graphics that often kind of template is corresponding.Here design vector graphics A, vector graphics B and vector graphics C respectively according to the image photographed, correspond respectively to template A, template B and template C.
Step 13, startup cutting machine, camera moves to target location one by one by the order rank of each template and the pattern position of record, the pattern that each mobile rear current camera position of surface trimming is corresponding, until complete figuratum cutting.In step 13, after moving, the target pattern that camera is taken in current location by camera system mates one by one with all templates at every turn, obtains the current location of the target pattern that the match is successful and carries out surface trimming according to corresponding vector graphics; After each movement, first judge whether the position of camera exceeds the scope of processing breadth.Start in this step to carry out automatic camera processing link, after starting the machine, this link order is: camera moves to target location according to the order rank of template and the location parameter of record, automatically the pattern X matched with template X (note: X is some) is searched, search and successfully cut according to the corresponding vector graphics X of design, complete then according to the automatic dollying head of location parameter of record, continue to search other patterns to cut, until complete.
Operate according to this technological process, because camera is move by the position of each pattern preserved in advance, the camera therefore formed as shown in Figure 8 moves towards figure.Arrow in Fig. 8 move towards represent camera by record preservation position be automatically moved to target location.Use the cutting technique shown in Fig. 4, only need carry out disposable manual operation: the template arranging often kind of pattern, the position of each pattern preserved in manual dollying head record, designs the vector graphics that often kind of template is corresponding.Then just can start the machine, carry out surface trimming mixed pattern by the position dollying head recorded before, realize the cutting that disposable mass automation completes mixed graph.
As shown in Fig. 5,7 and 9, Fig. 5 is the flow chart of the another mixed graph cutting technique based on machine vision in the present invention, Fig. 7 is the process chart of the preferred embodiment corresponding to Fig. 5, and Fig. 9 moves towards figure for camera when cutting by technological process shown in Fig. 7.The mixed graph cutting technique based on machine vision shown in Fig. 5 comprises:
Step 21, Non-follow control dollying head are located, and camera takes pattern in target object effective range, arranges the template of often kind of pattern.Such as, camera shooting circular pattern A, arranges the template of pattern A, produces template A; The position of Non-follow control dollying head, shooting square pattern B, arranges the template of pattern B, produces template B; The position of manual dollying head, arranges the template of triangle pattern C again, produces template C.
The vector graphics that step 22, design often kind of template are corresponding.According to stencil design vector graphics, design the vector graphics that often kind of template is corresponding.Design vector graphics A, vector graphics B and vector graphics C respectively according to the image photographed, correspond respectively to template A, template B and template C.
Step 23, arrange the breadth scope of processing, start cutting machine, camera progressively moves by region is regular, and the pattern that after every moved further, the current camera position of surface trimming is corresponding, until complete figuratum cutting.In step 23, after every moved further, the target pattern that camera is taken in current location by camera system mates one by one with all templates, obtains the current location of the target pattern that the match is successful and carries out surface trimming according to corresponding vector graphics; After every moved further, first judge whether the position of camera exceeds the scope of processing breadth.Start in this step to carry out automatic camera processing link, first the breadth scope of processing is set, after starting the machine, this link order is: camera progressively moves in current point, automatically the pattern X matched with template X (note: X is some) is searched, search and successfully cut according to the corresponding vector graphics X of design, complete the then progressively automatic dollying head from current location, continue to search other patterns and cut, until complete.
Operate according to this technological process, camera is for progressively to move by region is regular, and the camera formed as shown in Figure 9 moves towards figure.Arrow in Fig. 9 moves towards to represent that camera progressively moves by region by the order of from left to right (or from right to left) is regular.Except the mode of pressing Fig. 9, also can adopt other rule dollying head, as from top to bottom or from top to bottom, as long as final camera has moved through whole machining area.Use the cutting technique shown in Fig. 5, only need carry out disposable manual operation: the template that often kind of image is set, design the vector graphics that often kind of template is corresponding, processing breadth region is set.Then just can start the machine, carry out surface trimming mixed pattern by the regular dollying head in region, realize the cutting that disposable mass automation completes mixed graph.
The mixed graph cutting technique based on machine vision shown in Fig. 4 and Fig. 5 all only needs disposable manual operation, and decreasing some manual operation steps in varying degrees, automaticity is higher; Effectively can process the cutting problem of mixed graph, accomplish that disposable mass automation completes.
The present invention is based on the mixed graph cutting technique (step 23 corresponding in the step 13 in Fig. 4 or Fig. 5) when the automatic camera processing link of the technological process of execution Fig. 6 or Fig. 7 of machine vision, software program can be utilized to control, and cutting machine is disposable to be completed, its control mechanism is: program obtains parameter value and the pattern Working position parameter of all templates, determine the cutting sequencing of template, and after obtaining enabled instruction, start to obtain target pattern; According to the parameter of template, after the target pattern needed for identification, then determine current position and parameter, obtain the vector graphics parameter corresponding with pattern simultaneously, start cutting pattern, until there is no the target pattern mated.Specifically see Figure 10, it, for performing the control program flow chart of the automatic camera processing link in process chart shown in Fig. 6, shows the flow process of carrying out automatic camera machining control according to pre-recorded pattern position; And see Figure 11, it, for performing the control program flow chart of the automatic camera processing link in process chart shown in Fig. 7, shows the flow process of carrying out automatic camera machining control by region dollying head.
In sum, the mixed graph cutting technique that the present invention is based on machine vision decreases manual operation step, automaticity is higher, realizes disposable mass automation and completes mixed graph cutting.
The above; for the person of ordinary skill of the art; can make other various corresponding change and distortion according to technical scheme of the present invention and technical conceive, and all these change and be out of shape the protection domain that all should belong to the accompanying claim of the present invention.
Claims (2)
1., based on a mixed graph cutting technique for machine vision, it is characterized in that, comprising:
Step 21, Non-follow control dollying head are located, and target object is provided with multiple difform pattern, and camera takes pattern in target object effective range, arranges the template of often kind of pattern;
Step 210, judge that whether target object also has difform pattern, if so, then return step 21, if not, then perform next step;
The vector graphics that step 22, design often kind of template are corresponding;
Step 23, arrange the breadth scope of processing, start cutting machine, camera progressively moves by region is regular, and the pattern that after every moved further, the current camera position of surface trimming is corresponding, until complete figuratum cutting;
In step 23, after every moved further, the target pattern that camera is taken in current location by camera system mates one by one with all templates, obtains the current location of the target pattern that the match is successful and carries out surface trimming according to corresponding vector graphics.
2. as claimed in claim 1 based on the mixed graph cutting technique of machine vision, it is characterized in that, after every moved further, first judge whether the position of camera exceeds the scope of processing breadth.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110148311.9A CN102229025B (en) | 2011-06-02 | 2011-06-02 | Machine-vision-based mixed graph cutting process |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110148311.9A CN102229025B (en) | 2011-06-02 | 2011-06-02 | Machine-vision-based mixed graph cutting process |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102229025A CN102229025A (en) | 2011-11-02 |
| CN102229025B true CN102229025B (en) | 2015-01-28 |
Family
ID=44841652
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201110148311.9A Active CN102229025B (en) | 2011-06-02 | 2011-06-02 | Machine-vision-based mixed graph cutting process |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102229025B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111515523A (en) * | 2019-01-17 | 2020-08-11 | 深圳市创客工场科技有限公司 | Laser processing method and device, laser processing equipment and storage medium |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104259675B (en) * | 2014-08-29 | 2016-01-13 | 广东大族粤铭激光科技股份有限公司 | Mixed type vision processing method |
| CN105397290B (en) * | 2015-12-14 | 2017-10-03 | 中国电子科技集团公司第四十八研究所 | The Laser seal welding machine and control method welded for bulk workpiece |
| CN111438437B (en) * | 2019-01-16 | 2021-06-22 | 深圳市创客工场科技有限公司 | Laser processing control method and device, laser processing equipment and readable storage medium |
| CN111515522B (en) * | 2019-01-17 | 2022-02-01 | 深圳市创客工场科技有限公司 | Laser processing method and device, laser processing equipment and storage medium |
| CN110648339B (en) * | 2019-09-27 | 2022-08-19 | 广东溢达纺织有限公司 | Trademark cutting method and device, computer equipment and storage medium |
| WO2022133807A1 (en) * | 2020-12-23 | 2022-06-30 | 深圳市创客工场科技有限公司 | Processing method, processing apparatus, computer-readable storage medium, and electronic device |
| CN116275536B (en) * | 2023-03-16 | 2024-03-12 | 中船重工安谱（湖北）仪器有限公司 | Chip silk screen removing device and method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5172326A (en) * | 1990-03-19 | 1992-12-15 | Forcam, Incorporated | Patterned web cutting method and system for operation manipulation of displayed nested templates relative to a displayed image of a patterned web |
| US5703781A (en) * | 1994-01-24 | 1997-12-30 | Gerger Garment Technology, Inc. | Automatic market making system and method |
| CN2734440Y (en) * | 2004-07-06 | 2005-10-19 | 东莞市粤铭激光技术有限公司 | Full-automatic camera shooting brand cutting machine |
| CN101363188A (en) * | 2008-07-29 | 2009-02-11 | 瑞安市博业激光应用技术有限公司 | Cutting method along boundary of laser cutting equipment |
| CN101913028A (en) * | 2010-08-16 | 2010-12-15 | 句容市大华激光科技开发有限公司 | Full-view laser cutting bed |
-
2011
- 2011-06-02 CN CN201110148311.9A patent/CN102229025B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5172326A (en) * | 1990-03-19 | 1992-12-15 | Forcam, Incorporated | Patterned web cutting method and system for operation manipulation of displayed nested templates relative to a displayed image of a patterned web |
| US5703781A (en) * | 1994-01-24 | 1997-12-30 | Gerger Garment Technology, Inc. | Automatic market making system and method |
| CN2734440Y (en) * | 2004-07-06 | 2005-10-19 | 东莞市粤铭激光技术有限公司 | Full-automatic camera shooting brand cutting machine |
| CN101363188A (en) * | 2008-07-29 | 2009-02-11 | 瑞安市博业激光应用技术有限公司 | Cutting method along boundary of laser cutting equipment |
| CN101913028A (en) * | 2010-08-16 | 2010-12-15 | 句容市大华激光科技开发有限公司 | Full-view laser cutting bed |
Non-Patent Citations (1)
| Title |
|---|
| 《织物图案自动识别激光切割路径优化研究》;李存荣等;《仪器仪表学报》;20060630;第27卷(第6期);第2164-2165页 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111515523A (en) * | 2019-01-17 | 2020-08-11 | 深圳市创客工场科技有限公司 | Laser processing method and device, laser processing equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102229025A (en) | 2011-11-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102229025B (en) | Machine-vision-based mixed graph cutting process | |
| CN202106140U (en) | Mixed graph laser cutting machine based on machine vision | |
| US8902307B2 (en) | Machine vision system editing environment for a part program in which a continuous stream of image acquisition operations are performed during a run mode | |
| US9507340B2 (en) | Tool path part program modification system of NC machine tool | |
| US10402657B2 (en) | Methods and systems for training an object detection algorithm | |
| CN104690420B (en) | FPC edges of boards positioning and processing method based on digital CCD | |
| US20150049218A1 (en) | Information processing methods and electronic devices | |
| CN109822568B (en) | Robot control method, system and storage medium | |
| CN110171000A (en) | Bevel cutting method, device and control equipment | |
| CN103870157B (en) | Image processing method and device | |
| JP6916606B2 (en) | Mounting process optimization device | |
| KR101563722B1 (en) | Ar based i/o device for machine center | |
| US8805562B2 (en) | Numerical control programming method, apparatus therefor, and program for causing a computer to execute the method | |
| CN109597318B (en) | Robot space registration method and device | |
| Maurtua et al. | Robotic solutions for footwear industry | |
| CN112722765B (en) | Method and device for correcting position of workpiece | |
| CN109591007B (en) | Robot space registration method and device | |
| US20190248009A1 (en) | Method for programming robot in vision base coordinate | |
| US9511948B2 (en) | Control unit for centralizing control by grouping a plurality of paths | |
| WO2015170639A1 (en) | Laser processing machine, composite processing system, composite processing machine, and processing origin correction method | |
| CN108000499B (en) | Programming method of robot visual coordinate | |
| TWI554856B (en) | Apparatus and method for transforming nc programs | |
| US9167215B2 (en) | Machine vision system editing environment for a part program in which a continuous stream of image acquisition operations are performed during a run mode | |
| CN115846890A (en) | Control method of laser etching equipment, laser etching equipment and computer readable storage medium | |
| US20200184720A1 (en) | Machining parameter automatic generation system |
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 | ||
| C56 | Change in the name or address of the patentee | ||
| CP03 | Change of name, title or address |
Address after: 523808 Guangdong, Dongguan Songshan Lake high tech Industrial Development Zone Industrial Road, No. 28 Patentee after: GD HAN'S YUEMING LASER GROUP CO., LTD. Address before: 523000 Guangdong province Dongguan City Wanjiang Yan Wu Community Industrial Zone Patentee before: Guangdong Han's Yueming Laser Technology Co., Ltd. |