CN109324161A - A kind of egg embryo's fertility detection system based on machine vision - Google Patents
A kind of egg embryo's fertility detection system based on machine vision Download PDFInfo
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- CN109324161A CN109324161A CN201710638326.0A CN201710638326A CN109324161A CN 109324161 A CN109324161 A CN 109324161A CN 201710638326 A CN201710638326 A CN 201710638326A CN 109324161 A CN109324161 A CN 109324161A
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- machine vision
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- 238000001514 detection method Methods 0.000 title claims abstract description 35
- 210000001161 mammalian embryo Anatomy 0.000 title claims abstract description 21
- 230000035558 fertility Effects 0.000 title claims abstract description 14
- 238000003384 imaging method Methods 0.000 claims abstract description 32
- 238000013527 convolutional neural network Methods 0.000 claims abstract description 8
- 238000012545 processing Methods 0.000 claims description 6
- 239000004816 latex Substances 0.000 claims description 5
- 229920000126 latex Polymers 0.000 claims description 5
- 230000005540 biological transmission Effects 0.000 claims 1
- 230000005611 electricity Effects 0.000 claims 1
- 238000009659 non-destructive testing Methods 0.000 abstract description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 235000013601 eggs Nutrition 0.000 description 28
- 238000000034 method Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 4
- 102000002322 Egg Proteins Human genes 0.000 description 3
- 108010000912 Egg Proteins Proteins 0.000 description 3
- 210000003278 egg shell Anatomy 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000012790 confirmation Methods 0.000 description 2
- 230000007423 decrease Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 239000000243 solution Substances 0.000 description 2
- 208000037656 Respiratory Sounds Diseases 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000012447 hatching Effects 0.000 description 1
- 229960003971 influenza vaccine Drugs 0.000 description 1
- 238000002347 injection Methods 0.000 description 1
- 239000007924 injection Substances 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000005693 optoelectronics Effects 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000035899 viability Effects 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/02—Food
- G01N33/08—Eggs, e.g. by candling
- G01N33/085—Eggs, e.g. by candling by candling
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
- B07C5/342—Sorting according to other particular properties according to optical properties, e.g. colour
- B07C5/3422—Sorting according to other particular properties according to optical properties, e.g. colour using video scanning devices, e.g. TV-cameras
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- Engineering & Computer Science (AREA)
- Food Science & Technology (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Medicinal Chemistry (AREA)
- Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Multimedia (AREA)
- Image Processing (AREA)
- Image Analysis (AREA)
Abstract
The present invention provides a kind of egg embryo's fertility detection system based on machine vision, including image capturing system, machine vision module and control unit, image capturing system includes conveyer belt, darkroom, imaging unit and cylinder, imaging unit is arranged in darkroom, cylinder is arranged on darkroom, and imaging unit includes camera, light source and sensor, and sensor is mounted on light source, sensor is connect with light source and phase dynamoelectric signal, and cylinder is connected with light source；Control unit includes industrial personal computer, programmable controller and servo controller；Machine vision module is connect with camera and industry control dynamoelectric signal, and the input terminal of programmable controller is connected with industrial personal computer, and the output end of programmable controller is connected with servo controller and cylinder, and servo controller is electrically connected with sensor.The beneficial effects of the invention are as follows can be improved detection efficiency and accuracy rate, non-destructive testing can be realized, the detection speed of egg embryo's picture is improved using convolutional neural networks model.
Description
Technical field
The invention belongs to strain egg embryo production fields, Viability more particularly, to a kind of egg embryo based on machine vision
Detection system.
Background technique
The influenza vaccines preparation manufacturer of Current Domestic is all made of the artificial mode according to egg and detects, artificial detection labour
Intensity is big, low efficiency, and accuracy is poor.In existing automation equipment, has and mutually tied using histogram equalization with sobel operator
The method of conjunction, the NI Vision Builder for Automated Inspection for egg surface defects detection.Accuracy rate has reached 96%.But this method is also very
Hardly possible accurately distinguishes white point and crackle.And efficiency is lower.There are also carry out eggshell crack detection with machine vision technique
Research.First with the bird egg surface image under camera acquisition incandescent lamp irradiation, image is then extracted after operator filtering
Profile round and smooth degree and image in the parameters such as geometry of birds, beasts and eggs established polynary time as the characteristic quantity of detection eggshell crack
Return equation, the foundation as differentiation.But discrimination is not high.
Summary of the invention
The purpose of the present invention is to overcome the shortcomings of the existing technology, provides a kind of egg embryo based on machine vision and survives
Property detection system, can be improved production efficiency and accuracy rate.
In order to solve the above technical problems, the technical solution adopted by the present invention is that: a kind of egg embryo based on machine vision
Fertility detection system, including image capturing system, machine vision module and control unit, described image acquisition system include passing
Band, darkroom, imaging unit and cylinder are sent, the conveyer belt is placed across the darkroom, and the imaging unit setting is described dark
Interior, the cylinder are arranged on the darkroom, and the imaging unit includes camera, light source and sensor, the sensor peace
On the light source, the sensor is connect with the light source and phase dynamoelectric signal, and the cylinder is connected with the light source；
Described control unit includes industrial personal computer, programmable controller and servo controller；The machine vision module and institute
It states camera to connect with the industry control dynamoelectric signal, the input terminal of the programmable controller is connected with the industrial personal computer, described
The output end of programmable controller is connected with the servo controller and the cylinder, the servo controller and the sensing
Device electrical connection.
Further, the machine vision module is loaded on image pick-up card, and the machine vision module includes image
Acquisition unit, image processing unit, convolutional neural networks model and image discriminating unit.
It further, further include eliminating system, the eliminating system includes inhaling to mention device and ash can, and the suction mentions device
It is connected with the output port of the programmable controller.
Further, the camera at least two, the camera are symmetricly set on the surrounding of the light source, the camera
It is placed in 45 °.
Further, bar is provided on the conveyer belt, the bar is located at below the darkroom.
Further, the bar is at least four.
Further, the imaging unit is two groups.
Further, the light source lower end is provided with latex lampshade.
Further, the programmable controller model SMART-200CPU CR60.
The advantages and positive effects of the present invention are: due to the adoption of the above technical scheme, the imaging unit of multiple groups can
Detection efficiency and accuracy rate are improved, and mechanical structure is easily achieved, and can be realized non-destructive testing, using convolutional neural networks mould
The detection speed of type raising egg embryo picture.
Detailed description of the invention
Fig. 1 is overall structure of the present invention；
Fig. 2 is image capturing system structural schematic diagram of the present invention
Fig. 3 is machine vision module structural schematic diagram of the present invention
Fig. 4 is programmable controller first half wiring diagram of the present invention
Fig. 5 is programmable controller latter half wiring diagram of the present invention
In figure:
1, conveyer belt 2, darkroom 3, imaging unit
31, camera 32, light source 33, latex lampshade
34, sensor 4, servo controller 5, cylinder
6, image pick-up card 7, industrial personal computer 8, programmable controller
9, it inhales and mentions device 10, ash can 11, incubator tray
12, the first imaging unit 13, the second imaging unit 14, lever
15, image acquisition units 16, image processing unit 17, convolutional neural networks model
18, image discriminating unit
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, with reference to the accompanying drawings and detailed description
The present invention is described in further detail.Obviously, described embodiment is only a part of the embodiments of the present invention, without
It is whole embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not before making creative work
The every other embodiment for putting acquisition, shall fall within the protection scope of the present invention.It should be noted that for purposes of clarity, attached drawing
With the expression and description that component unrelated to the invention, known to persons of ordinary skill in the art and processing are omitted in explanation.
As depicted in figs. 1 and 2, egg embryo's fertility detection system based on machine vision that the present embodiment provides a kind of,
Including image capturing system, machine vision module, control unit and eliminating system.
Image capturing system includes conveyer belt 1, darkroom 2, imaging unit 3 and cylinder 5, and conveyer belt 1 is placed across darkroom 2,
Imaging unit 3 is arranged in darkroom 2, and cylinder 5 is arranged on darkroom 2, and imaging unit 3 includes camera 31, light source 32 and sensor
34, sensor 34 is mounted on light source 32, and sensor 34 is connect with light source 32 and 31 electric signal of camera, cylinder 5 and 32 phase of light source
Connection, light source 32 is by the control lifting of cylinder 5, and there are two the settings of camera 31, and two cameras 31 are symmetricly set on the four of light source 32
In week, camera 31 is above egg in 45 ° of placements.Since strain injection can leave aperture at the top of eggshell, so hatching, detection
In the process, embryo egg requires to be disposed vertically, and cannot tilt, and shakes, and guarantee moves horizontally its smooth vertical.It is more than consideration
Factor, in the case where not moving to egg, light source 32 irradiates egg, in order to protect egg not damaged, light from top
32 lower end of source is provided with latex lamp, and 33, it further includes eliminating system, eliminating system packet that 33 lower end of latex lampshade, which is horn opening,
It includes suction and mentions device 9 and ash can 10.Bar 14 is provided on conveyer belt 1, bar 14 is located at 2 lower section of darkroom.
Imaging unit 3 is two groups, and the first imaging unit 12 and the second imaging unit 13 are successively placed in darkroom 2, transmit
There are four bars 14 for setting on band 1, and after incubator tray 11 is moved to first 14 position of bar, the second imaging unit 13 is in standby shape
State waits incubator tray 11 to reach confirmation.The decline of first imaging unit, 12 light source 32, sensor 34 control light source 32 and open while triggering
Camera 31, which is taken pictures, obtains photo, and then light source 32 is closed and risen, and the detection of first row egg is completed, and first bar 14 declines,
Incubator tray 11 is moved to second 14 position of bar, and the first imaging unit 12 repeats the above process, and third is arranged egg detection and completed.
As shown in figure 3, machine vision module is loaded on image pick-up card, machine vision module includes image acquisition units
15, image processing unit 16, convolutional neural networks model 17 and image discriminating unit 18；
Control unit includes industrial personal computer 7, programmable controller 8 and servo controller 4；Machine vision module and camera 31 and
The connection of 7 electric signal of industrial personal computer, the input terminal of programmable controller 8 are connected with industrial personal computer 7, the output end of programmable controller 8
It mentions device 9, servo controller 4, cylinder 5 with suction to be connected, servo controller 4 is electrically connected with sensor 34, programmable controller
Model SMART-200CPU CR60.
As shown in Fig. 4 to Fig. 5, the input terminal of SMART-200CPU CR60 model programmable controller be connected with control by
Button (such as start key, stop key and detection are completed), optoelectronic switch and the electromagnetic switch for controlling cylinder；Programmable controller it is defeated
Outlet is separately connected the performers such as cylinder.
The course of work of this example: egg is put into incubator tray 11, starts conveyer belt 1, is accurately positioned egg by bar 14
The position of disk 11, after incubator tray 11 is moved to first 14 position of bar, the second imaging unit 13 is in standby, and waits incubator tray
11 reach confirmation.The decline of first imaging unit, 12 light source 32, sensor 34 control the opening of light source 32 while triggering camera 31 and take pictures
Photo is obtained, then light source 32 is closed and risen, and the detection of first row egg is completed, and first bar 14 declines, and incubator tray 11 is mobile
To second 14 position of bar, the first imaging unit 12 is repeated the above process, and third is arranged egg detection and completed；Incubator tray 11 is moved to
When the 4th 14 position of bar, the second imaging unit 13 starts to detect second row egg, while the first imaging unit 12 detection the
Seven row's eggs.First group of imaging unit 12 detects the egg of the odd rows such as first and third, five, second group of detection of imaging unit 13 the
Two, the even rows egg such as four, six accelerates detection efficiency.
Image acquisition units 15 in machine vision module acquire the image that camera takes, right by image processing unit 16
Image first carries out binary conversion treatment, proposes the area-of-interest in image, will to treated, image is normalized
Treated, and image transmitting is classified into convolutional neural networks model 17, is finally delivered to image discriminating unit 18 to image
Differentiated, exported in result to industrial personal computer 7, the control suction of programmable controller 8, which mentions device 9, will test underproof egg transfer
To ash can 10.
The beneficial effects of the present invention are: due to the adoption of the above technical scheme, the imaging unit of multiple groups can be improved detection effect
Rate and accuracy rate, and mechanical structure is easily achieved, and can be realized non-destructive testing, makes egg embryo using convolutional neural networks model
The detection speed of tire picture improves.
One or more embodiments of the invention is described in detail above, but the content be only it is of the invention compared with
Good embodiment, should not be considered as limiting the scope of the invention.It is all according to equivalent change made by the present patent application range
With improve etc., should still be within the scope of the patent of the present invention.
Claims (9)
1. a kind of egg embryo's fertility detection system based on machine vision, it is characterised in that: including image capturing system, machine
Device vision module and control unit, described image acquisition system include conveyer belt, darkroom, imaging unit and cylinder, the transmission
Band passes through the darkroom and places, and the imaging unit is arranged in the darkroom, and the cylinder is arranged on the darkroom, described
Imaging unit includes camera, light source and sensor, and the sensor is mounted on the light source, the sensor and the light source
It is connected with phase dynamoelectric signal, the cylinder is connected with the light source；
Described control unit includes industrial personal computer, programmable controller and servo controller；The machine vision module and the phase
Machine is connected with the industry control dynamoelectric signal, and the input terminal of the programmable controller is connected with the industrial personal computer, described to compile
The output end of range controller is connected with the servo controller and the cylinder, the servo controller and sensor electricity
Connection.
2. egg embryo's fertility detection system according to claim 1 based on machine vision, it is characterised in that: described
Machine vision module is loaded on image pick-up card, the machine vision module include image acquisition units, image processing unit,
Convolutional neural networks model and image discriminating unit.
3. egg embryo's fertility detection system according to claim 1 based on machine vision, it is characterised in that: also wrap
Eliminating system is included, the eliminating system includes inhaling to mention device and ash can, and the suction mentions device and the programmable controller
Output port is connected.
4. egg embryo's fertility detection system according to claim 1 based on machine vision, it is characterised in that: described
Camera at least two, the camera are symmetricly set on the surrounding of the light source, and the camera is in 45 ° of placements.
5. egg embryo's fertility detection system according to claim 1 based on machine vision, it is characterised in that: described
Bar is provided on conveyer belt, the bar is located at below the darkroom.
6. egg embryo's fertility detection system according to claim 5 based on machine vision, it is characterised in that: described
Bar is at least four.
7. egg embryo's fertility detection system according to claim 1 based on machine vision, it is characterised in that: described
Imaging unit is two groups.
8. egg embryo's fertility detection system according to claim 1 based on machine vision, it is characterised in that: described
Light source lower end is provided with latex lampshade.
9. egg embryo's fertility detection system according to claim 1 based on machine vision, it is characterised in that: described
Programmable controller model SMART-200CPU CR60.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710638326.0A CN109324161A (en) | 2017-07-31 | 2017-07-31 | A kind of egg embryo's fertility detection system based on machine vision |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710638326.0A CN109324161A (en) | 2017-07-31 | 2017-07-31 | A kind of egg embryo's fertility detection system based on machine vision |
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| Publication Number | Publication Date |
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| CN109324161A true CN109324161A (en) | 2019-02-12 |
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ID=65244856
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| Application Number | Title | Priority Date | Filing Date |
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| CN201710638326.0A Withdrawn CN109324161A (en) | 2017-07-31 | 2017-07-31 | A kind of egg embryo's fertility detection system based on machine vision |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110194369A (en) * | 2019-07-02 | 2019-09-03 | 江苏宏盛景智能装备有限公司 | A kind of automatic inspection egg intelligence equipment |
| CN110208472A (en) * | 2019-07-02 | 2019-09-06 | 江苏宏盛景智能装备有限公司 | A kind of automatic inspection egg machine |
| CN114653624A (en) * | 2022-04-25 | 2022-06-24 | 河北玖兴农牧发展有限公司 | Automatic hatching egg identification and sorting equipment |
| WO2024141648A1 (en) * | 2022-12-30 | 2024-07-04 | Peggy B.V. | Method for detecting a gender of an embryonated egg, a related computing device and related system |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110194369A (en) * | 2019-07-02 | 2019-09-03 | 江苏宏盛景智能装备有限公司 | A kind of automatic inspection egg intelligence equipment |
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Application publication date: 20190212 |