CN113231341A - Poultry seedling sorting system based on convolutional neural network - Google Patents
Poultry seedling sorting system based on convolutional neural network Download PDFInfo
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- CN113231341A CN113231341A CN202110611617.7A CN202110611617A CN113231341A CN 113231341 A CN113231341 A CN 113231341A CN 202110611617 A CN202110611617 A CN 202110611617A CN 113231341 A CN113231341 A CN 113231341A
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- sorting
- poultry
- fence
- seedlings
- microcomputer
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- 244000144977 poultry Species 0.000 title claims abstract description 63
- 238000013527 convolutional neural network Methods 0.000 title claims abstract description 13
- 230000008054 signal transmission Effects 0.000 claims abstract description 9
- 241000271566 Aves Species 0.000 claims description 9
- 240000003705 Senecio vulgaris Species 0.000 claims 1
- 230000006399 behavior Effects 0.000 abstract description 3
- 238000004519 manufacturing process Methods 0.000 abstract description 3
- 241000287828 Gallus gallus Species 0.000 description 6
- 230000007306 turnover Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000009395 breeding Methods 0.000 description 1
- 230000001488 breeding effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 235000016709 nutrition Nutrition 0.000 description 1
Images
Classifications
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- 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
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K67/00—Rearing or breeding animals, not otherwise provided for; New or modified breeds of animals
- A01K67/02—Breeding vertebrates
-
- 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
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/361—Processing or control devices therefor, e.g. escort memory
-
- 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
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/38—Collecting or arranging articles in groups
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- Life Sciences & Earth Sciences (AREA)
- Environmental Sciences (AREA)
- Animal Behavior & Ethology (AREA)
- Zoology (AREA)
- Animal Husbandry (AREA)
- Biodiversity & Conservation Biology (AREA)
- Processing Of Meat And Fish (AREA)
Abstract
The invention discloses a poultry seedling sorting system based on a convolutional neural network, which comprises a poultry seedling conveying belt and a sorting control rack, wherein a sorting fence is installed at the front end of the sorting control rack, a sorting column is located at a position below a transportation end point of the poultry seedling conveying belt, a photographing camera is installed at the front end of the sorting control rack and is located right above the sorting fence, one end of the sorting fence is connected with a forward and reverse overturning motor through a rotating shaft, the photographing camera is connected with a microcomputer through a signal transmission line, and the microcomputer is connected with a hardware receiver installed on the forward and reverse overturning motor through the signal transmission line. The invention realizes the function of sorting the poultry seedlings, judges the corresponding attributes of the poultry seedlings by shooting the pictures of the poultry seedlings and extracting the characteristics, and feeds back the judgment results to the hardware layer, and the hardware layer can carry out corresponding sorting behaviors on the poultry seedlings according to the results, thereby realizing the automatic and rapid sorting of the poultry seedlings and improving the production efficiency.
Description
Technical Field
The invention relates to the technical field of intelligent poultry seedling sorting, in particular to a poultry seedling sorting system based on a convolutional neural network.
Background
The friends who have raised the chicken should know that the gender of the chicken is identified after birth whether the chicken is the young chicken of laying hens or the young chicken of broilers. Because the requirements of the female chicks and the male chicks on the growth environment and the nutritional conditions are different, the chicks are fed in different columns by male and female identification, and therefore the purposes of quick growth, feed reward improvement and breeding efficiency improvement are achieved.
However, it is a technical task to identify the sexes of the chicks, and if the identification method of the chicks cannot be correctly mastered, the identification efficiency and the identification accuracy are affected, and even the chicks may be damaged or dead. Therefore, the market urgently needs to develop a poultry seedling sorting system based on a convolutional neural network to solve the existing problems.
Disclosure of Invention
The invention aims to provide a poultry chick sorting system based on a convolutional neural network, and aims to solve the problems that the conventional poultry chick sorting system in the background technology is low in efficiency and easily causes the damage or death of the poultry chick.
In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides a birds seedling letter sorting system based on convolutional neural network, includes birds seedling conveyer belt and letter sorting control frame, letter sorting fence is installed to the front end of letter sorting control frame, and letter sorting field is in position department below the transportation terminal point of birds seedling conveyer belt, the camera of shooing is installed to the front end of letter sorting control frame, and the camera of shooing is located the letter sorting fence directly over, and the one end on letter sorting fence has positive and negative upset motor through the rotation axis connection, the camera of shooing has microcomputer through signal transmission line connection, and microcomputer is connected with the hardware receiver of installing on positive and negative upset motor through signal transmission line.
Preferably, the hardware receiver is used for transmitting a signal to control the forward and reverse overturning motor to overturn.
Preferably, female poultry seedling placing boxes and male poultry seedling placing boxes are respectively arranged at corresponding positions on two sides below the sorting fence.
Preferably, conveying tracks are arranged between the sorting fence and the female poultry seedling placing box and between the sorting fence and the male poultry seedling placing box.
Preferably, S1, the poultry seedlings enter the machine through a conveyor belt, and the poultry seedlings fall into the to-be-scoured fence at the end point of the conveyor belt; s2 shooting the poultry seedlings in the sorting columns by a camera connected with the microcomputer, and returning the images to the microcomputer for processing; s3, the microcomputer transmits the result to the hardware layer after processing, the hardware responds after receiving the result, and the related signal is fed back to the positive and negative overturn motor; s4, turning the columns to be sorted left and right by using a positive and negative turning motor, and enabling the poultry seedlings to enter the corresponding result frames along the tracks; s5 realizes the intelligent and quick classification operation of poultry fry gender.
Compared with the prior art, the invention has the beneficial effects that:
(1) the invention realizes the function of sorting the poultry seedlings, judges the corresponding attributes of the poultry seedlings by shooting the pictures of the poultry seedlings and extracting the characteristics, and feeds back the judgment results to the hardware layer, and the hardware layer can carry out corresponding sorting behaviors on the poultry seedlings according to the results, thereby realizing the automatic and rapid sorting of the poultry seedlings and improving the production efficiency;
(2) the system improves the sorting accuracy and efficiency of the poultry seedlings, not only injects new vitality into the whole poultry seedling industry, but also further expands new development market, not only greatly improves the efficiency, but also reduces the labor cost, changes the traditional industry towards the modernization, and pushes the pace of industrial and agricultural modernization to a certain extent.
Drawings
FIG. 1 is an overall front view of the present invention;
FIG. 2 is a front view of a sort control rack of the present invention;
FIG. 3 is a left-turning front view of the sorting bar of the present invention;
FIG. 4 is a right-side flip front view of the sorting bar of the present invention;
FIG. 5 is a schematic view of a sorting bar mounting structure according to the present invention;
FIG. 6 is a block flow diagram of the steps of the present invention.
In the figure: 1. a poultry feed conveyer belt; 2. a sorting fence; 3. a camera for taking a picture; 4. a signal transmission line; 5. a microcomputer; 6. a hardware receiver; 7. the transmission signal controls the forward and reverse overturning motor; 8. a rotating shaft; 9. a sorting control frame; 10. a conveying track; 11. placing the female poultry seedlings in a box; 12. and (5) placing the male poultry seedlings in a box.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1-6, an embodiment of the present invention is shown: the utility model provides a birds seedling letter sorting system based on convolutional neural network, including birds seedling conveyer belt 1 and letter sorting control frame 9, letter sorting fence 2 is installed to the front end of letter sorting control frame 9, letter sorting fence 2 is located the transportation terminal point below position department of birds seedling conveyer belt 1, camera 3 of shooing is installed to the front end of letter sorting control frame 9, camera 3 is located letter sorting fence 2 directly over, the one end of letter sorting fence 2 is connected with positive and negative upset motor 7 through axis of rotation 8, camera 3 of shooing is connected with microcomputer 5 through signal transmission line 4, microcomputer 5 is connected with hardware receiver 6 of installing on positive and negative upset motor 7 through signal transmission line 4.
Further, the hardware receiver 6 is used for transmitting a signal to control the forward and reverse overturning motor 7 to overturn.
Further, a female poultry seedling placing box 11 and a male poultry seedling placing box 12 are respectively arranged at corresponding positions on two sides below the sorting fence 2.
Further, conveying rails 10 are arranged between the sorting fence 2 and the female poultry seedling placing box 11 and the male poultry seedling placing box 12.
Further, S1, the poultry seedlings enter the machine through a conveyor belt, and the poultry seedlings fall into the to-be-scoured fence at the end point of the conveyor belt; s2 shooting the poultry seedlings in the sorting columns by a camera connected with the microcomputer, and returning the images to the microcomputer for processing; s3, the microcomputer transmits the result to the hardware layer after processing, the hardware responds after receiving the result, and the related signal is fed back to the positive and negative overturn motor; s4, turning the columns to be sorted left and right by using a positive and negative turning motor, and enabling the poultry seedlings to enter the corresponding result frames along the tracks; s5 realizes the intelligent and quick classification operation of poultry fry gender.
The working principle is as follows: when in use, poultry seedlings enter the machine through the conveyor belt, the poultry seedlings fall into the to-be-sorted columns at the end points of the conveyor belt, the cameras connected with the microcomputer shoot the poultry seedlings in the sorting columns, the images are returned to the microcomputer for processing, the microcomputer transmits the results to the hardware layer after processing, the hardware responds after receiving the results, relevant signals are fed back to the positive and negative turnover motor, the to-be-sorted columns are turned left and right by the positive and negative turnover motor, the poultry seedlings enter the corresponding result frames along the track, the intelligent and rapid sorting operation of the gender of the poultry seedlings is realized, the invention realizes the sorting function of the poultry seedlings, judges the corresponding attributes of the poultry seedlings by shooting the pictures of the poultry seedlings and extracting the characteristics and feeds back the judgment results to the hardware layer, and the hardware layer can perform corresponding sorting behaviors on the poultry seedlings through the results, thereby realizing the automatic and rapid sorting of the poultry seedlings, the production efficiency is improved.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (5)
1. The utility model provides a birds seedling letter sorting system based on convolutional neural network, includes birds seedling conveyer belt (1) and letter sorting control frame (9), its characterized in that, letter sorting fence (2) are installed to the front end of letter sorting control frame (9), and letter sorting fence (2) are located the transportation terminal point position department under the birds seedling conveyer belt (1), camera (3) of shooing are installed to the front end of letter sorting control frame (9), and camera (3) are located letter sorting fence (2) directly over, and the one end of letter sorting fence (2) is connected with positive and negative upset motor (7) through axis of rotation (8), camera (3) of shooing are connected with microcomputer (5) through signal transmission line (4), and microcomputer (5) are connected with hardware receiver (6) of installing on positive and negative upset motor (7) through signal transmission line (4).
2. The convolutional neural network-based young bird sorting system as claimed in claim 1, wherein: and the hardware receiver (6) is used for transmitting signals to control the forward and reverse overturning motor (7) to overturn.
3. The convolutional neural network-based young bird sorting system as claimed in claim 1, wherein: female poultry seedling placing boxes (11) and male poultry seedling placing boxes (12) are respectively arranged at corresponding positions on two sides of the lower portion of the sorting fence (2).
4. The convolutional neural network-based young bird sorting system as claimed in claim 3, wherein: conveying tracks (10) are arranged between the sorting fence (2) and the female poultry seedling placing box (11) and between the sorting fence and the male poultry seedling placing box (12).
5. A convolutional neural network based bird seed sorting system as claimed in claim 1, comprising the steps of:
s1, the poultry seedlings enter the machine through the conveyor belt, and the poultry seedlings fall into the to-be-scoured fence at the end point of the conveyor belt;
s2 shooting the poultry seedlings in the sorting columns by a camera connected with the microcomputer, and returning the images to the microcomputer for processing;
s3, the microcomputer transmits the result to the hardware layer after processing, the hardware responds after receiving the result, and the related signal is fed back to the positive and negative overturn motor;
s4, turning the columns to be sorted left and right by using a positive and negative turning motor, and enabling the poultry seedlings to enter the corresponding result frames along the tracks;
s5 realizes the intelligent and quick classification operation of poultry fry gender.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110611617.7A CN113231341A (en) | 2021-06-02 | 2021-06-02 | Poultry seedling sorting system based on convolutional neural network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110611617.7A CN113231341A (en) | 2021-06-02 | 2021-06-02 | Poultry seedling sorting system based on convolutional neural network |
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| Publication Number | Publication Date |
|---|---|
| CN113231341A true CN113231341A (en) | 2021-08-10 |
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| CN202110611617.7A Pending CN113231341A (en) | 2021-06-02 | 2021-06-02 | Poultry seedling sorting system based on convolutional neural network |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FR2681801A1 (en) * | 1991-09-26 | 1993-04-02 | Grimaud Freres | Table for manual sorting |
| CN106198448A (en) * | 2016-07-17 | 2016-12-07 | 北京化工大学 | A kind of automatic high speed lossless sorting live body male and female Pupa bombycis or the technique of live body male and female Bombyx bombycis |
| CN108311411A (en) * | 2018-02-07 | 2018-07-24 | 陕西科技大学 | A kind of cordyceps sinensis intelligence sorting system and its application method |
| CN111241908A (en) * | 2019-11-26 | 2020-06-05 | 暨南大学 | Young poultry biological feature recognition device and method |
| CN211070913U (en) * | 2019-08-09 | 2020-07-24 | 上海欣灏珍禽育种有限公司 | Device for sorting chicks according to gender of pheasants |
-
2021
- 2021-06-02 CN CN202110611617.7A patent/CN113231341A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FR2681801A1 (en) * | 1991-09-26 | 1993-04-02 | Grimaud Freres | Table for manual sorting |
| CN106198448A (en) * | 2016-07-17 | 2016-12-07 | 北京化工大学 | A kind of automatic high speed lossless sorting live body male and female Pupa bombycis or the technique of live body male and female Bombyx bombycis |
| CN108311411A (en) * | 2018-02-07 | 2018-07-24 | 陕西科技大学 | A kind of cordyceps sinensis intelligence sorting system and its application method |
| CN211070913U (en) * | 2019-08-09 | 2020-07-24 | 上海欣灏珍禽育种有限公司 | Device for sorting chicks according to gender of pheasants |
| CN111241908A (en) * | 2019-11-26 | 2020-06-05 | 暨南大学 | Young poultry biological feature recognition device and method |
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Application publication date: 20210810 |
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