CN207690117U - A kind of device that article profile is obtained and identified - Google Patents
A kind of device that article profile is obtained and identified Download PDFInfo
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- CN207690117U CN207690117U CN201820003382.7U CN201820003382U CN207690117U CN 207690117 U CN207690117 U CN 207690117U CN 201820003382 U CN201820003382 U CN 201820003382U CN 207690117 U CN207690117 U CN 207690117U
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- camera
- light source
- light
- reflector
- fresnel lenses
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- 238000012360 testing method Methods 0.000 claims abstract description 43
- 238000012545 processing Methods 0.000 claims description 8
- 239000012528 membrane Substances 0.000 claims description 7
- 238000006243 chemical reaction Methods 0.000 claims description 6
- 238000003708 edge detection Methods 0.000 claims description 4
- 238000000034 method Methods 0.000 abstract description 12
- 238000004806 packaging method and process Methods 0.000 abstract description 9
- 239000002699 waste material Substances 0.000 abstract description 4
- 238000005516 engineering process Methods 0.000 description 9
- 235000013361 beverage Nutrition 0.000 description 7
- 230000000694 effects Effects 0.000 description 5
- 238000000605 extraction Methods 0.000 description 5
- 238000004064 recycling Methods 0.000 description 4
- 239000010813 municipal solid waste Substances 0.000 description 3
- 229920003023 plastic Polymers 0.000 description 3
- 239000004033 plastic Substances 0.000 description 3
- 238000011084 recovery Methods 0.000 description 3
- 239000002775 capsule Substances 0.000 description 1
- 239000008358 core component Substances 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 210000004209 hair Anatomy 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000035800 maturation Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000011505 plaster Substances 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000009738 saturating Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/145—Illumination specially adapted for pattern recognition, e.g. using gratings
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/147—Details of sensors, e.g. sensor lenses
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Vascular Medicine (AREA)
- Artificial Intelligence (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
- Image Processing (AREA)
- Image Analysis (AREA)
- Sorting Of Articles (AREA)
Abstract
The device for obtaining and identifying the utility model discloses a kind of article profile, including light source, Fresnel Lenses, reflector, light source, camera and microprocessor；Light source is arranged near camera, and the two is located at object under test the same side；For Fresnel Lenses between light source and camera and object under test, camera and light source are arranged in the focal position of Fresnel Lenses；Reflector setting is opposite with light source and camera in the object under test other side；The light that light source projects is shaped to directional light by Fresnel Lenses, and the light that reflector is reflected back is converged；Reflector reflects the directional light for coming from Fresnel Lenses；Camera captures the light that reflector is reflected back and converges the image to be formed via Fresnel Lenses；Microprocessor carries out profile acquisition and identification to the image that camera exports.The utility model has feature simple in structure, cheap especially suitable for the images of items identification in Packaging Bottle the like waste intelligence removal process.
Description
Technical field
The utility model belongs to subject image identification technology field and waste intelligence recovery technology field, more particularly to
A kind of small articles profiles such as Packaging Bottle obtain and the device of identification.
Background technology
The intelligent retracting device for developing and promoting the rubbish such as waste plastic bottle is considered as the recovery system of specification Packaging Bottle, is subtracted
Few " white garbage " pollution it is most effective by way of one of.In the intelligent retracting device of Packaging Bottle, the identification technology of article is
Core component.Efficiently, the identification prepared effectively preventing error can recycle and prevent recycling fraud, to greatly carry
The reliability of high machine.
Application No. is disclose one kind in 201220364458.1 and 200620092237.8 utility model patent to be based on
The scheme that the bar code scan of Packaging Bottle is identified；It is also easily damaged but since bar code is easy to be copied.Therefore, lead to base
The popularization of intelligent way of recycling is hindered in the identification method of bar code.It is that intelligence is recoverable using integrated article means of identification
The image recognition technology of development trend, wherein article is one of technology of most critical.Application No. is 201410670766.0 hairs
Bright patent application discloses a kind of do not include using camera capture and recovery capsule image comprising article and as base map and ratio
Compared with figure, to identify article whether be recyclable plastics bottle scheme, but the accuracy of identification of the technology depends on the quality of image.
It discloses one kind application No. is 200620092237.8 utility model patent and in beverage bottle both sides places light emitting source and light respectively
Quick element is to judge the scheme of beverage bottle size, it is done so that the diameter of object can only be judged, it is difficult to the beverage of input
Bottle shape is accurately detected and is judged.In addition, the research in terms of the shape image recognition of plastic bottle also has others one
A little progress, such as machine vision method, RGB methods, image comparison method, it is above-mentioned technical sophistication, of high cost, and do not answer really also
It uses in recycling machine product.
As described above, to solve the above-mentioned problems, and accelerate the popularization of intelligent recycling machine, it is accordingly required in particular to invention is a kind of high-precision
Degree, low cost, are suitable for image, the outline identification device of the small articles such as Packaging Bottle.
Utility model content
Utility model aims to solve the problems in the prior art and product, provide a kind of article profile obtain and
The device of identification, precision are high, at low cost.
The technical solution that the utility model is solved is：
The utility model provides a kind of article profile and obtains and the device of identification, including light source, Fresnel Lenses, reflective
Plate, camera and microprocessor；
The light source is arranged near camera, and the two is located at object under test the same side；The Fresnel Lenses is located at light
Between source and camera and object under test；Reflector setting is opposite with light source and camera in the object under test other side.
The camera and light source are arranged in the focal position of Fresnel Lenses.
The Fresnel Lenses is used to the light that light source projects being shaped to directional light, and the light for being reflected back reflector
(containing object under test profile shade) is converged；
The reflector, can be by specular reflective mirrors or lens type for reflecting the directional light for coming from Fresnel Lenses
Reflective membrane (such as 3M engineering grades EGP reflective membranes, reflective paster) forms；
The camera is used to capture the light that reflector is reflected back and converges the image to be formed via Fresnel Lenses；
The microprocessor is connected with camera, for that will carry out gray processing and binaryzation to the image that camera exports
Processing, and carry out edge detection, contours extract and outline etc..The gray processing and binary conversion treatment, contours extract and wheel
Exterior feature matching etc. is the prior art of this field maturation.
The operation principle of the utility model is：
1) it is arranged in the light that the light source near camera projects and directional light is shaped to by Fresnel Lenses.
2) directional light leaves profile shade corresponding with object under test by object under test on reflector.
3) light (containing object under test profile shade) that reflector is reflected back is converged by Fresnel Lenses, by camera
Capture forms image, and the image of capture contains the profile shade of object under test, on image the profile shadow region of object under test it
Outer is uniform, light ground, has very strong contrast with the profile shade of object under test；
4) binaryzation and contour extraction processing are carried out to the image that camera captures by microprocessor, obtains object under test
Profile；
5) profile and profile sample database are compared, identifies object under test.
The edge detection be to the image data after binary conversion treatment, using Image Edge-Detection Laplace or
The operators such as Prewitt extract data boundary.
Advantageous effect：
A kind of article profile provided by the utility model obtains and the device of identification, especially suitable for Packaging Bottle the like waste
Images of items identification in intelligent removal process, has feature simple in structure, cheap, can be used as similar image both at home and abroad
There are the potentiality for being applied to more identification fields in the substitute products of identification sensor, future.Particular technique feature shows following several
Point：
1) solve the disadvantage that currently marketed Packaging Bottle intelligence retracting device means of identification depends on bar code scan.It can
By contours extract to article and comparison, the recognition accuracy of article is helped to improve, improves the available of intelligent retracting device
Property.
2) contours extract and the matching that article is solved the problems, such as using optical system innovated, the cost of the technology
It is low.Other image recognition technologys are different from, the utility model is relatively low to equipment and the mounting condition requirement of image recognition, such as
Only it need to take common camera and light source that can achieve the goal.
3) the utility model is also applied to the other field except Packaging Bottle intelligently recycles, such as product sorting, rubbish
The fields such as classification.
Description of the drawings
Fig. 1 is the device basic principle schematic that the article profile of the utility model is obtained and identified；
Fig. 2 is the image after 1 binary conversion treatment of the utility model embodiment；
Fig. 3 is the object under test profile that the utility model embodiment 1 obtains；
Fig. 4 is the image after 2 binary conversion treatment of the utility model embodiment；
Fig. 5 is the object under test profile that the utility model embodiment 2 obtains.
Reference sign:
In figure, 1 it is microprocessor, 2 is camera, 3 is light source, 4 is Fresnel Lenses, 5 is object under test, 6 is reflective
Plate.
Specific implementation mode
Fig. 1 is the device basic principle schematic that the article profile of the utility model is obtained and identified.As shown in Figure 1, institute
The article profile stated obtains and the device of identification, including microprocessor 1, camera 2, light source 3, Fresnel Lenses 4, object under test
5, reflector 6.
Image gray processing that the microprocessor 1 is used to export camera 2, binary conversion treatment, and carry out edge inspection
Survey, contours extract, outline etc..
The figure that the camera 2 is used to capture the light that reflector is reflected back and is formed via the convergence of Fresnel Lenses 4
Picture.The image of capture contains the profile shade of object under test, is uniform, light ground outside image shadow region, with article wheel
Wide shade has very strong contrast.The image that camera 2 captures is via data line transfer to microprocessor 1.
The light source 3 is similar to point light source, for projecting light.
The Fresnel Lenses 4 is used to the light that light source projects being shaped to directional light, directional light by object under test,
Profile shade corresponding with object under test is left on reflector；In addition, the light that Fresnel Lenses 4 again is used to reflector be reflected back
Line (containing object under test profile shade) is converged.
The reflector 6 can be by specular reflective mirrors or lens type reflective membrane (such as 3M engineering grades EGP reflective membranes, reflection plaster
Paper etc.) composition, for reflecting the directional light for coming from Fresnel Lenses.
With reference to embodiment, the utility model is described in further detail.
Embodiment 1：
Using the acquisition of article profile and recognition methods of the utility model, in one embodiment, using specular reflective mirrors
As reflector, using beverage bottle as object under test.Fig. 2~Fig. 3 be the present embodiment in recognition effect, specifically by the following method into
Row：
1) it is arranged in the light that the light source near camera projects and directional light is shaped to by Fresnel Lenses；
2) directional light leaves profile shade corresponding with object under test by object under test on reflector；
3) light (containing object under test profile shade) that reflector (specular reflective mirrors) is reflected back passes through Fresnel Lenses
Convergence, is captured to form image by camera, and the image of capture contains the profile shade of object under test, the wheel of object under test on image
It is uniform, light ground except wide shadow region, there is very strong contrast with the profile shade of object under test；
4) by carrying out binaryzation and contour extraction processing to the image that camera captures to microprocessor, determinand is obtained
The profile of body；
5) profile and profile sample database are compared, identifies object under test.
In the present embodiment, reflector uses specular reflective mirrors.At this point, background light intensity higher, more uniformly, background with wait for
The image contrast for surveying object is big, is easily handled.But it is more demanding to the relative position of each equipment in device.Fig. 2~Fig. 3 shows
The Outside contour extraction effect of beverage bottle fully meets identification and requires in the present embodiment.
Embodiment 2：
It is in one embodiment, reflective using lens type using the acquisition of article profile and recognition methods of the utility model
Film is as reflector, using beverage bottle as object under test.Fig. 4~Fig. 5 is the recognition effect in the present embodiment, specifically by the following method
It carries out：
1) it is arranged in the light that the light source near camera projects and directional light is shaped to by Fresnel Lenses；
2) directional light leaves profile shade corresponding with object under test by object under test on reflector；
3) light (containing object under test profile shade) that reflector (lens type reflective membrane) is reflected back is saturating by Fresnel
Mirror converges, and is captured to form image by camera, and the image of capture contains the profile shade of object under test, object under test on image
It is uniform, light ground except profile shadow region, there is very strong contrast with the profile shade of object under test；
4) by carrying out binaryzation and contour extraction processing to the image that camera captures to microprocessor, determinand is obtained
The profile of body；
5) profile and profile sample database are compared, identifies object under test.
In the present embodiment, reflector uses lens type reflective membrane.At this point, the profile shade contrast of background and object under test
Relatively slightly lower, image procossing is increasingly complex, needs carefully to adjust threshold value when image binaryzation is handled, maximum between-cluster variance can be used
Method chooses optimal threshold；But it is relatively low to the position accuracy demand of device all parts.Fig. 4~Fig. 5 shows beverage in the present embodiment
The Outside contour extraction effect of bottle fully meets identification and requires.
Above example merely to the utility model described in more detail thought and operation principle, it should be understood that
Embodiment mentioned above should not limit this.Every all changes and replacement within the spirit and scope of the utility model,
It should be in the row of the protection of the utility model.
Claims (2)
1. a kind of article profile obtains and the device of identification, it is characterised in that：Including light source, Fresnel Lenses, reflector, light
Source, camera and microprocessor；
The light source is arranged near camera, and the two is located at object under test the same side；The Fresnel Lenses be located at light source and
Between camera and object under test, camera and light source are arranged in the focal position of Fresnel Lenses；The reflector setting exists
The object under test other side, it is opposite with light source and camera；
The Fresnel Lenses is used to the light that light source projects being shaped to directional light, and the light that reflector is reflected back into
Row convergence；
The reflector is for reflecting the directional light for coming from Fresnel Lenses；
The camera is used to capture the light that reflector is reflected back and converges the image to be formed via Fresnel Lenses；
The microprocessor is connected with camera, and the image for being exported to camera carries out gray processing and binary conversion treatment,
And carry out edge detection, contours extract and outline.
2. a kind of article profile according to claim 1 obtains and the device of identification, it is characterised in that：The reflector is
Specular reflective mirrors or lens type reflective membrane.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710089340.XA CN106874903A (en) | 2017-02-20 | 2017-02-20 | The device and method that a kind of article profile is obtained and recognized |
| CN201710089340X | 2017-02-20 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN207690117U true CN207690117U (en) | 2018-08-03 |
Family
ID=59167115
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710089340.XA Pending CN106874903A (en) | 2017-02-20 | 2017-02-20 | The device and method that a kind of article profile is obtained and recognized |
| CN201820003382.7U Expired - Fee Related CN207690117U (en) | 2017-02-20 | 2018-01-02 | A kind of device that article profile is obtained and identified |
Family Applications Before (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710089340.XA Pending CN106874903A (en) | 2017-02-20 | 2017-02-20 | The device and method that a kind of article profile is obtained and recognized |
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| CN (2) | CN106874903A (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111623961A (en) * | 2020-06-10 | 2020-09-04 | 太仓考斯茂石英有限公司 | Glass lens detector and control method |
| CN115200480B (en) * | 2022-09-17 | 2022-12-23 | 深圳市巨力方视觉技术有限公司 | Alignment and lamination visual detection system |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5986230A (en) * | 1996-09-13 | 1999-11-16 | Uncle Ben's, Inc. | Method and apparatus for sorting product |
| CN201340622Y (en) * | 2008-10-10 | 2009-11-04 | 徐季敏 | Can detection and identification system |
| CN101825582B (en) * | 2010-05-19 | 2012-07-25 | 山东明佳包装检测科技有限公司 | Method and device for detecting wall of cylindrical transparent bottle |
| CN102944563B (en) * | 2012-09-28 | 2016-02-24 | 肇庆中导光电设备有限公司 | There is the lighting device of transmission and reflection source, detection system and detection method thereof |
| CN103886311B (en) * | 2014-03-31 | 2017-08-11 | 北京大恒图像视觉有限公司 | A kind of identifying system for being used to recognize bottle sidepiece coding |
| CN203773560U (en) * | 2014-03-31 | 2014-08-13 | 北京大恒图像视觉有限公司 | Mold coding imaging apparatus |
| CN104550051A (en) * | 2014-12-23 | 2015-04-29 | 山东明佳科技有限公司 | Empty bottle sorting system for glass bottle |
| CN204544803U (en) * | 2014-12-23 | 2015-08-12 | 山东明佳科技有限公司 | A kind of vial empty bottle sorting system |
-
2017
- 2017-02-20 CN CN201710089340.XA patent/CN106874903A/en active Pending
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- 2018-01-02 CN CN201820003382.7U patent/CN207690117U/en not_active Expired - Fee Related
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| CN106874903A (en) | 2017-06-20 |
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| CF01 | Termination of patent right due to non-payment of annual fee | ||
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Granted publication date: 20180803 |