CN109596058A - The size detection recognition methods of plastic workpiece - Google Patents
The size detection recognition methods of plastic workpiece Download PDFInfo
- Publication number
- CN109596058A CN109596058A CN201910101497.9A CN201910101497A CN109596058A CN 109596058 A CN109596058 A CN 109596058A CN 201910101497 A CN201910101497 A CN 201910101497A CN 109596058 A CN109596058 A CN 109596058A
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- China
- Prior art keywords
- workpiece
- station
- millimeters
- recognition methods
- size detection
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Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/08—Measuring arrangements characterised by the use of optical techniques for measuring diameters
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/022—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness by means of tv-camera scanning
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/08—Measuring arrangements characterised by the use of optical techniques for measuring diameters
- G01B11/12—Measuring arrangements characterised by the use of optical techniques for measuring diameters internal diameters
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/50—Constructional details
- H04N23/55—Optical parts specially adapted for electronic image sensors; Mounting thereof
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/56—Cameras or camera modules comprising electronic image sensors; Control thereof provided with illuminating means
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/74—Circuitry for compensating brightness variation in the scene by influencing the scene brightness using illuminating means
Abstract
The present invention relates to technical field of vision detection, refer in particular to a kind of size detection recognition methods of plastic workpiece, include the following steps, step 1: workpiece being successively moved to station one and station two carries out Image Acquisition；Step 2: the image that station one is acquired carries out the operation of spot detection algorithm and circle detection algorithm operation, carries out identification positioning to workpiece and measures the internal diameter and outer diameter of workpiece；Step 3: the image that station two is acquired carries out Line Segment Detection Algorithm operation and line line Measurement Algorithm operation, and the line segment that identification workpiece surface and lower surface are formed simultaneously measures product height；Step 4: the workpiece diameter information, outer diameter information and workpiece height information of identification are converted into the output of readable data information, two stations are set, each station only carries out a size detection to workpiece, the accuracy rate of detection identification is effectively guaranteed, the operation time that algorithm design difficulty reduces complicated algorithm is reduced simultaneously, improves production efficiency.
Description
Technical field
The present invention relates to technical field of vision detection, refer in particular to a kind of size detection recognition methods of plastic workpiece.
Background technique
The characteristics of Machine Vision Detection is the flexibility and the degree of automation for improving production.It is not suitable for manual work some
Dangerous work environment or artificial vision be difficult to the occasion met the requirements, machine in normal service vision substitutes artificial vision；Exist simultaneously
In high-volume industrial processes, manually visual inspection product quality low efficiency and precision is not high, with Machine Vision Detection side
Method can greatly improve the degree of automation of production efficiency and production.And machine vision is easily achieved information integration, is to realize
The basic technology of computer integrated manufacturing system.Vision-based detection is exactly to replace human eye with machine to measure and judge.Vision-based detection is
Refer to that, by machine vision product, image-pickup device is divided to CMOS and two kinds of CCD, will be ingested target and be converted into picture signal,
It sends dedicated image processing system to, according to the information such as pixel distribution and brightness, color, is transformed into digitized signal；Image
System carries out various operations to these signals to extract clarification of objective, and then the equipment at scene is controlled according to the result of differentiation
Movement.It is the valuable mechanism for producing, assembling or pack.It is in detection defect and prevents from faulty goods to be dispensed into disappearing
There is immeasurable value in terms of the function of the person of expense.
As above situation, vision-based detection has huge market value, most crucial in vision-based detection system not to be
Hardware device but algorithm steps, and algorithm steps can be because of testing result requirement, product shape, operating environment situation and design
The appearance of the factors such as the technical capability of personnel or group is multifarious, if core algorithm step design shortcoming, affects a whole set of view
Feel the operational efficiency and running quality of detection device, and in the size detection recognizer step of plastic workpiece, in the market greatly
The use cost of portion of techniques scheme is high, while the algorithm steps also complex conventional change for being unfavorable for those skilled in the art
The operations such as parameter setting.
Summary of the invention
Two stations are used the technical problem to be solved in the present invention is to provide a kind of, each station only carries out one to workpiece
Size detection while guaranteeing high detection accuracy rate, reduces the operation time that algorithm design difficulty reduces complicated algorithm, improves life
Produce the size detection recognition methods of the plastic workpiece of efficiency.
In order to solve the above-mentioned technical problem, the present invention adopts the following technical scheme: a kind of size detection of plastic workpiece is known
Other method, includes the following steps, step 1: workpiece being successively moved to station one and station two carries out Image Acquisition；
Step 2: the image that station one is acquired carries out the operation of spot detection algorithm and circle detection algorithm operation, carries out to workpiece
The internal diameter and outer diameter of identification positioning and measurement workpiece；
Step 3: the image that station two is acquired carries out Line Segment Detection Algorithm operation and line line Measurement Algorithm operation, identifies on workpiece
The line segment of surface and lower surface formation simultaneously measures product height；
Step 4: it is defeated that the workpiece diameter information, outer diameter information and workpiece height information of identification being converted into readable data information
Out.
Preferably, station one carries out red light irradiation auxiliary using annular light source and completes Image Acquisition in the step 1, should
Vertical spacing distance between annular light source and workpiece is 180 to 300 millimeters.
Preferably, station one carries out red light irradiation auxiliary using annular light source and completes Image Acquisition in the step 1, should
Vertical spacing distance between annular light source and workpiece is 230 millimeters.
Preferably, station one is arranged in pairs or groups 8 to 16 millimeters of fixed-focus using 300 to 6,000,000 pixel industrial cameras in the step 1
Camera lens completes Image Acquisition, and wherein the vertical spacing distance between tight shot and workpiece is 300 to 480 millimeters.
Preferably, station one is completed using 12 millimeters of the collocation of 5,000,000 pixel industrial cameras of tight shot in the step 1
Image Acquisition, wherein the vertical spacing distance between tight shot and workpiece is 395 millimeters.
Preferably, station two carries out backlight illumination auxiliary using parallel area source and completes Image Acquisition in the step 1, should
Horizontal interval distance between parallel area source and workpiece is 90 to 200 millimeters.
Preferably, station two carries out backlight illumination auxiliary using parallel area source and completes Image Acquisition in the step 1, should
Horizontal interval distance between parallel area source and workpiece is 130 millimeters.
Preferably, station two uses 300 to 6,000,000 pixel industrial cameras, 0.08 to 0.25 multiplying power of collocation in the step 1
Telecentric lens complete Image Acquisition, and wherein the horizontal interval distance between telecentric lens and workpiece is 130 to 260 millimeters.
Preferably, station two is completed using 5,000,000 pixel industrial cameras, 0.11 multiplying power telecentric lens of collocation in the step 1
Image Acquisition, wherein the horizontal interval distance between telecentric lens and workpiece is 190 millimeters.
Preferably, the annular light source includes circular shell, the circular light lamp for being installed on circular shell downside and passes through
The shooting duct of circular shell Yu circular light lamp is worn, circular shell is fixedly connected with regulating arm and driving regulating arm horizontal movement
First driving device.
The beneficial effects of the present invention are: the present invention provides a kind of size detection recognition methods of plastic workpiece, in reality
In the application of border, station one completes Image Acquisition using the annular light source auxiliary of transmitting red light, and annular light source is placed in above workpiece
Cooperation camera shoots workpiece, the light source can uniform illumination whole visual field, the contour feature of prominent workpiece, to obtain
The image of high contrast, is analyzed and processed convenient for software.Station two cooperated by the way of backlight illumination camera to workpiece into
Row shooting, the light source can highlight the contour feature of workpiece, to obtain the image of high contrast, be analyzed convenient for software
Processing.By the way that two stations are arranged, each station only carries out a size detection to workpiece, and detection identification is effectively guaranteed
Accuracy rate, while the operation time that algorithm design difficulty reduces complicated algorithm is reduced, improve production efficiency.
Detailed description of the invention
Fig. 1 is the positive structure schematic of tight shot, annular light source and workpiece in station one of the present invention.
Fig. 2 is the schematic perspective view of a kind of annular light source of station of the present invention, regulating arm and first driving device.
Fig. 3 is the detection contrast schematic diagram of station pair of workpieces in the present invention.
Fig. 4 is the positive structure schematic of telecentric lens, parallel area source and workpiece in station two of the present invention.
Fig. 5 is detection contrast schematic diagram of the station two of the present invention to workpiece.
Specific embodiment
For the ease of the understanding of those skilled in the art, below with reference to embodiment, the present invention is further illustrated, real
The content that the mode of applying refers to not is limitation of the invention.
As shown in Figures 1 to 5, the size detection recognition methods of a kind of plastic workpiece, includes the following steps, step 1: by work
Part 5 is successively moved to station 1 and station 22 carries out Image Acquisition, and station 1 carries out red light irradiation using annular light source 3
Auxiliary completes Image Acquisition, and the vertical spacing distance between the annular light source 3 and workpiece 5 is 230 millimeters, the annular light source packet
It includes circular shell 31, be installed on the circular light lamp 32 of 31 downside of circular shell and through circular shell 31 and circular light lamp 32
Shooting duct 33, circular shell 31 be fixedly connected with regulating arm 34 and drive 34 horizontal movement of regulating arm first driving dress
35 are set, station 1 completes Image Acquisition using 12 millimeters of the collocation of 5,000,000 pixel industrial cameras of tight shot 6, wherein fixed-focus mirror
Vertical spacing distance between first 6 and workpiece 5 is 395 millimeters, and station 22 carries out backlight illumination auxiliary using parallel area source 4
Image Acquisition is completed, the horizontal interval distance between the parallel area source 4 and workpiece 5 is 130 millimeters, and station 22 uses 5,000,000
Pixel industrial camera 0.11 multiplying power telecentric lens 7 of collocation complete Image Acquisition, wherein the level between telecentric lens 7 and workpiece 5
Spacing distance is 190 millimeters；
Step 2: the image that station 1 is acquired carries out the operation of spot detection algorithm and circle detection algorithm operation, to workpiece 5 into
The internal diameter and outer diameter of row identification positioning and measurement workpiece 5；
Step 3: the image that station 22 is acquired carries out Line Segment Detection Algorithm operation and line line Measurement Algorithm operation, identifies workpiece 5
The line segment of upper surface and lower surface formation simultaneously measures product height；
Step 4: it is defeated that 5 internal diameter information of workpiece, outer diameter information and 5 elevation information of workpiece of identification being converted into readable data information
Out.
The size detection recognition methods of the plastic workpiece of the present embodiment, in practical applications, station 1 are red using transmitting
The auxiliary of annular light source 3 of light completes Image Acquisition, and annular light source 3, which is placed in above workpiece 5, cooperates camera to shoot workpiece 5,
The light source can uniform illumination whole visual field, the contour feature of prominent workpiece 5, so that the image of high contrast is obtained, convenient for soft
Part is analyzed and processed.Station 22 cooperates camera to shoot workpiece 5 by the way of backlight illumination, which can be convex
The contour feature of workpiece 5 is showed, to obtain the image of high contrast, is analyzed and processed convenient for software.Pass through setting two
Station, each station only carry out a size detection to workpiece 5, and the accuracy rate of detection identification is effectively guaranteed, reduces simultaneously
Algorithm design difficulty reduces the operation time of complicated algorithm, improves production efficiency.
In addition, being used for description purposes only if any term " first ", " second ", it is not understood to indicate or imply relatively heavy
The property wanted or the quantity for implicitly indicating technical characteristic." first " is defined as a result, " second " feature can be expressed or implicit include
One or more this feature, in the present description, " several " are meant that two or more, unless otherwise clearly having
The restriction of body.
In the present invention, except as otherwise clear stipulaties and restriction, should make if any term " assembling ", " connected ", " connection " term
Broad sense goes to understand, for example, it may be being fixedly connected, may be a detachable connection, or be integrally connected；It is also possible to mechanical connect
It connects；It can be directly connected, be also possible to be connected by intermediary, can be and be connected inside two elements.For ability
For the those of ordinary skill of domain, the concrete meaning of above-mentioned term in the present invention can be understood as the case may be.
Several embodiments of the invention above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
Limitations on the scope of the patent of the present invention therefore cannot be interpreted as.It should be pointed out that for those of ordinary skill in the art
For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to guarantor of the invention
Protect range.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.
Claims (10)
1. the size detection recognition methods of plastic workpiece, it is characterised in that: include the following steps,
Step 1: workpiece (5) being successively moved to station one (1) and station two (2) carries out Image Acquisition；
Step 2: the image of station one (1) acquisition being subjected to the operation of spot detection algorithm and circle detection algorithm operation, to workpiece
(5) it carries out identification positioning and measures the internal diameter and outer diameter of workpiece (5)；
Step 3: the image of station two (2) acquisition being subjected to Line Segment Detection Algorithm operation and line line Measurement Algorithm operation, identifies work
The line segment of part (5) upper surface and lower surface formation simultaneously measures product height；
Step 4: workpiece (5) internal diameter information, outer diameter information and workpiece (5) elevation information of identification are converted into readable data letter
Breath output.
2. the size detection recognition methods of plastic workpiece according to claim 1, it is characterised in that: work in the step 1
One (1) of position carries out red light irradiation auxiliary using annular light source (3) and completes Image Acquisition, the annular light source (3) and workpiece (5) it
Between vertical spacing distance be 180 to 300 millimeters.
3. the size detection recognition methods of plastic workpiece according to claim 1, it is characterised in that: work in the step 1
One (1) of position carries out red light irradiation auxiliary using annular light source (3) and completes Image Acquisition, the annular light source (3) and workpiece (5) it
Between vertical spacing distance be 230 millimeters.
4. the size detection recognition methods of plastic workpiece according to claim 1, it is characterised in that: work in the step 1
Image Acquisition is completed using 8 to 16 millimeters of the collocation of 300 to 6,000,000 pixel industrial cameras of tight shot (6) in one (1) of position, wherein
Vertical spacing distance between tight shot (6) and workpiece (5) is 300 to 480 millimeters.
5. the size detection recognition methods of plastic workpiece according to claim 1, it is characterised in that: work in the step 1
Image Acquisition is completed using 12 millimeters of the collocation of 5,000,000 pixel industrial cameras of tight shot (6) in one (1) of position, wherein tight shot
(6) the vertical spacing distance between workpiece (5) is 395 millimeters.
6. the size detection recognition methods of plastic workpiece according to claim 1, it is characterised in that: work in the step 1
Two (2) of position carry out backlight illumination auxiliary using parallel area source (4) and complete Image Acquisition, the parallel area source (4) and workpiece (5)
Between horizontal interval distance be 90 to 200 millimeters.
7. the size detection recognition methods of plastic workpiece according to claim 1, it is characterised in that: work in the step 1
Two (2) of position carry out backlight illumination auxiliary using parallel area source (4) and complete Image Acquisition, the parallel area source (4) and workpiece (5)
Between horizontal interval distance be 130 millimeters.
8. the size detection recognition methods of plastic workpiece according to claim 1, it is characterised in that: work in the step 1
Image Acquisition is completed using 300 to 6,000,000 pixel industrial cameras, 0.08 to 0.25 multiplying power telecentric lens (7) of collocation in two (2) of position,
Horizontal interval distance between middle telecentric lens (7) and workpiece (5) is 130 to 260 millimeters.
9. the size detection recognition methods of plastic workpiece according to claim 1, it is characterised in that: work in the step 1
Image Acquisition is completed using 5,000,000 pixel industrial cameras, 0.11 multiplying power telecentric lens (7) of collocation in two (2) of position, wherein telecentric lens
(7) the horizontal interval distance between workpiece (5) is 190 millimeters.
10. the size detection recognition methods of plastic workpiece according to claim 3, it is characterised in that: the annular light source
Including circular shell (31), be installed on circular shell (31) downside circular light lamp (32) and through circular shell (31) with
The shooting duct (33) of circular light lamp (32), circular shell (31) are fixedly connected with regulating arm (34) and driving regulating arm (34)
The first driving device (35) of horizontal movement.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910101497.9A CN109596058A (en) | 2019-02-01 | 2019-02-01 | The size detection recognition methods of plastic workpiece |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910101497.9A CN109596058A (en) | 2019-02-01 | 2019-02-01 | The size detection recognition methods of plastic workpiece |
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| CN109596058A true CN109596058A (en) | 2019-04-09 |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110082356A (en) * | 2019-04-20 | 2019-08-02 | 东莞中科蓝海智能视觉科技有限公司 | The visible detection method and device of wire surface defect |
| CN110097540A (en) * | 2019-04-20 | 2019-08-06 | 东莞中科蓝海智能视觉科技有限公司 | The visible detection method and device of polygon workpeace |
| CN110608686A (en) * | 2019-10-31 | 2019-12-24 | 大连理工大学 | Visual measurement method and device for part with chamfer |
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Cited By (4)
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Application publication date: 20190409 |