CN108171686A - A kind of method of barreled face capping automatic alignment - Google Patents
A kind of method of barreled face capping automatic alignment Download PDFInfo
- Publication number
- CN108171686A CN108171686A CN201711366193.2A CN201711366193A CN108171686A CN 108171686 A CN108171686 A CN 108171686A CN 201711366193 A CN201711366193 A CN 201711366193A CN 108171686 A CN108171686 A CN 108171686A
- Authority
- CN
- China
- Prior art keywords
- degree
- noodle bowl
- leap
- angle
- face
- 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- Withdrawn
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Classifications
-
- 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
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65B—MACHINES, APPARATUS OR DEVICES FOR, OR METHODS OF, PACKAGING ARTICLES OR MATERIALS; UNPACKING
- B65B57/00—Automatic control, checking, warning, or safety devices
- B65B57/02—Automatic control, checking, warning, or safety devices responsive to absence, presence, abnormal feed, or misplacement of binding or wrapping material, containers, or packages
- B65B57/04—Automatic control, checking, warning, or safety devices responsive to absence, presence, abnormal feed, or misplacement of binding or wrapping material, containers, or packages and operating to control, or to stop, the feed of such material, containers, or packages
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65B—MACHINES, APPARATUS OR DEVICES FOR, OR METHODS OF, PACKAGING ARTICLES OR MATERIALS; UNPACKING
- B65B57/00—Automatic control, checking, warning, or safety devices
- B65B57/18—Automatic control, checking, warning, or safety devices causing operation of audible or visible alarm signals
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
Landscapes
- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Mechanical Engineering (AREA)
- Quality & Reliability (AREA)
- Length Measuring Devices By Optical Means (AREA)
Abstract
The present invention relates to a kind of barreled face capping automatic alignment method, including:A noodle bowl with the normal place of lid face is chosen, camera lens face noodle bowl QS is indicated, ensures that QS marks appear in the center that display shows photo frame green cross using calibration fixture;Using the position of the marks of QS at this time as 0 degree of coordinate points, QS masterplates are established, the QS in image at this time is selected to indicate for masterplate;Motor is leaped 25 degree to the left, is leaped at equal intervals to the right from the position electrizer, per 0.5 degree of minor tick, amounts to 50 degree, and often leap is primary, and the knots modification for measuring QS mark horizontal axis coordinates corresponds to the angle of the secondary leap;4) linear optimization is carried out in leap is spaced, obtains the angle corresponding to per one pixel of deviation;For treating to positive barreled face capping, the position of searching noodle bowl QS;Noodle bowl is obtained to adjust the angle;So that capping is to just.
Description
Technical field
The present invention relates to a kind of methods of barreled face capping automatic alignment.
Background technology
On the production line in barreled face, pallet carries noodle bowl and operates forward, is successively pitched by throwing face, the packet that feeds intake, throwing, so
Enter the capping stage afterwards, since the packaging in each barreled face is there are QS marks, there are one the marks of tearable mouth above lid, lead to
The noodle bowl in normal barreled face is put at random causes noodle bowl cannot be harmonious with noodle bowl pattern, and the product of outer packing pattern confusion flows into
The market image of manufacturer can be directly affected behind market.
Invention content
The object of the present invention is to provide a kind of methods of barreled face capping automatic alignment.To achieve the above object, it is of the invention
Take following technical scheme:
A kind of method of barreled face capping automatic alignment, includes the following steps:
1) noodle bowl with the normal place of lid face is chosen, camera lens face noodle bowl QS is indicated, uses mark
Determine fixture and ensure that QS marks appear in the center that display shows photo frame green cross.
2) using the position of the marks of QS at this time as 0 degree of coordinate points, QS masterplates are established, the QS in image at this time is selected to indicate for mould
Version;
3) motor is leaped 25 degree to the left, is leaped at equal intervals to the right from the position electrizer, per 0.5 degree of minor tick, amounts to 50
Degree, often leap is primary, and the knots modification for measuring QS mark horizontal axis coordinates corresponds to the angle of the secondary leap;
4) linear optimization is carried out in leap is spaced, obtains the angle corresponding to per one pixel of deviation, optimization method
For:Pixel number of the optimization interval equal to 0.5 degree divided by leap interval, the corresponding angle of each pixel multiply for its serial number
To optimize interval;
5) for treating to positive barreled face capping, with the figure of 12 noodle bowls to be detected of the 30 degree of shooting one circles in interval
Piece performs the position that template matches find QS in every pictures;
6) the QS location informations that will be obtained obtain noodle bowl by calibration and adjust the angle;
7) it is adjusted the angle according to noodle bowl, control noodle bowl rotation so that cover to just.
The present invention has the following advantages due to taking above technical scheme:
(1) the present invention provides a kind of new linear optimization mode, accuracy of detection is improved;
(2) detection time of the present invention is short, can cope with the detection demand of high speed.
Description of the drawings
Fig. 1 is QS standard pictures;
Fig. 2 is the picture of QS positions left avertence;
Fig. 3 is the picture of QS positions right avertence;
Fig. 4 be QS mark without picture;
Fig. 5 is the template picture of QS;
Fig. 6 is the normal place of QS;
Fig. 7 is QS left avertences position;
Fig. 8 is QS right avertence position;
Specific embodiment
The present invention is described in detail with reference to the accompanying drawings and examples.
In the production line, when barreled face is sealed, the seal location of lid is it is known that be fixed.The position of noodle bowl is random
, it needs to rotate noodle bowl adjustment noodle bowl so that the seal location of lid and the position consistency of noodle bowl.
1) picture of the QS mark heart in the picture is shot, sees Fig. 1;
2) proving operation, before detection program is opened, for establishing between the position of noodle bowl QS marks and noodle bowl angle
Relationship;Specific method is as follows:
1. camera lens face noodle bowl QS is indicated, ensure that QS marks appear in display and show photo frame using calibration fixture
The center of green cross;
2. using the position of the marks of QS at this time as 0 degree of coordinate points, and establishing QS masterplates with template matching algorithm, selection is schemed at this time
QS marks as in are masterplate, see Fig. 5;
3. motor is leaped 25 degree to the left, leap at equal intervals to the right at (0.5 degree of interval) from the position electrizer, amount to 50 degree.
The primary execution detection algorithm of often leap is primary, measures the knots modification (pixel number) of QS mark horizontal axis coordinates
Corresponding to the angle of the secondary leap.For example, the QS mark horizontal axis coordinates that inspection software measures before this leap are
133 (pixel) corresponding angles are 10 degree, and the 0.5 degree of horizontal axis coordinate measured later of leaping is 138 (pixels), then 134~138 (as
Element) it is 10.5 degree corresponding.
4. leap carries out linear optimization in interval, optimization method is:Optimization interval is equal to 0.5 degree divided by leap interval
Pixel number, the corresponding angle of each pixel are multiplied by optimization interval for its serial number.
3) 30 degree of 12 pictures of shooting are spaced, the position that template matches find QS is performed in every pictures, in fact it could happen that
The situation of Fig. 1, Fig. 2, Fig. 3, Fig. 4, the result of detection are the situation of Fig. 6, Fig. 7, Fig. 8 and QS icon matches failure.
4) 3) location information obtained by calibration is adjusted the angle, is sent to control system, finally so that noodle bowl
To just.
Claims (1)
1. a kind of method of barreled face capping automatic alignment, includes the following steps:
1) noodle bowl with the normal place of lid face is chosen, camera lens face noodle bowl QS is indicated, is blocked using calibration
Tool ensures that QS marks appear in the center that display shows photo frame green cross.
2) using the position of the marks of QS at this time as 0 degree of coordinate points, QS masterplates are established, the QS in image at this time is selected to indicate for masterplate;
3) motor is leaped 25 degree to the left, is leaped at equal intervals to the right from the position electrizer, per 0.5 degree of minor tick, amounts to 50 degree, often
Leap is primary, and the knots modification for measuring QS mark horizontal axis coordinates corresponds to the angle of the secondary leap;
4) linear optimization is carried out in leap is spaced, obtains the angle corresponding to per one pixel of deviation, optimization method is:It is excellent
Change pixel number of the interval equal to 0.5 degree divided by leap interval, the corresponding angle of each pixel is multiplied by excellent for its serial number
Change interval;
5) for treating to positive barreled face capping, with the picture of 30 degree 12 noodle bowls to be detected for shooting one circle in interval,
The position that template matches find QS is performed in per pictures;
6) the QS location informations that will be obtained obtain noodle bowl by calibration and adjust the angle;
7) it is adjusted the angle according to noodle bowl, control noodle bowl rotation so that cover to just.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711366193.2A CN108171686A (en) | 2017-12-18 | 2017-12-18 | A kind of method of barreled face capping automatic alignment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711366193.2A CN108171686A (en) | 2017-12-18 | 2017-12-18 | A kind of method of barreled face capping automatic alignment |
Publications (1)
Publication Number | Publication Date |
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CN108171686A true CN108171686A (en) | 2018-06-15 |
Family
ID=62522352
Family Applications (1)
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CN201711366193.2A Withdrawn CN108171686A (en) | 2017-12-18 | 2017-12-18 | A kind of method of barreled face capping automatic alignment |
Country Status (1)
Country | Link |
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CN (1) | CN108171686A (en) |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101941537A (en) * | 2010-09-11 | 2011-01-12 | 天津普达软件技术有限公司 | Instant noodles bowl self-aligning detection method and instrument based on machine vision |
CN201793049U (en) * | 2010-09-11 | 2011-04-13 | 天津普达软件技术有限公司 | Automatic alignment and detection instrument of noodle bowl of instant noodles based on machine vision |
CN102192911A (en) * | 2010-03-17 | 2011-09-21 | 中国科学院自动化研究所 | System and method for detecting quality of metal cap based on machine vision |
US20170323149A1 (en) * | 2016-05-05 | 2017-11-09 | International Business Machines Corporation | Rotation invariant object detection |
-
2017
- 2017-12-18 CN CN201711366193.2A patent/CN108171686A/en not_active Withdrawn
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102192911A (en) * | 2010-03-17 | 2011-09-21 | 中国科学院自动化研究所 | System and method for detecting quality of metal cap based on machine vision |
CN101941537A (en) * | 2010-09-11 | 2011-01-12 | 天津普达软件技术有限公司 | Instant noodles bowl self-aligning detection method and instrument based on machine vision |
CN201793049U (en) * | 2010-09-11 | 2011-04-13 | 天津普达软件技术有限公司 | Automatic alignment and detection instrument of noodle bowl of instant noodles based on machine vision |
US20170323149A1 (en) * | 2016-05-05 | 2017-11-09 | International Business Machines Corporation | Rotation invariant object detection |
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Legal Events
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PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WW01 | Invention patent application withdrawn after publication |
Application publication date: 20180615 |
|
WW01 | Invention patent application withdrawn after publication |