CN111242903B - Piglet out-of-line automatic counting platform and method - Google Patents
Piglet out-of-line automatic counting platform and method Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30181—Earth observation
- G06T2207/30188—Vegetation; Agriculture
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30242—Counting objects in image
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Abstract
The invention discloses a piglet out-of-line automatic counting platform and a piglet out-of-line automatic counting method, which relate to the technical field of automatic counting, wherein the platform comprises: the system comprises at least one AI camera, a conveyor belt, baffle plates, a supporting frame, an engine and a background control system, wherein the baffle plates are arranged on two sides of the conveyor belt, the supporting frame is arranged below the conveyor belt, the engine is arranged on one side of the conveyor belt, and the background control system is connected with the AI camera through network transmission; the method sequentially comprises the following steps: the method comprises the steps of background server building, intelligent counting software development, overall platform design and building, data modeling, algorithm model incremental learning, training and system counting operation. Compared with the traditional counting method, the method can effectively solve the problems of crowding and stacking of the swinery, improve the piglet slaughtering efficiency, optimize personnel configuration, reduce the pig slaughtering time span, reduce personnel contact, avoid disease transmission risks and ensure biosafety work, and in addition, the method has low application cost and wide application prospect.
Description
Technical Field
The invention relates to the technical field of automatic counting, in particular to a piglet out-of-line automatic counting platform and method.
Background
At present, an intensive pig raising company generally adopts a production mode of 'company+household', and the management of the pig raising by the company mainly operates the pigling to go out by the following flow: firstly, the pigling is concentrated into a house for sale in a farm, then the pigling is driven to a transport vehicle through a pigling channel, and in the process, the number of the pigling is acquired by the staff of the farm in a manual counting mode.
The main problems of this traditional manual counting mode are: 1. the workload is large: the existing piglet counting mode belongs to a manual counting mode, has high work requirements on counting workers, has high work intensity, generally requires more than 2 workers to concentrate energy, can accurately count data by combining eyes, hands and hearts, and requires recalculating the data of the pig farm if the data of the eyes, the hands and the hearts are inconsistent, so that the workload is greatly increased; 2. the time span is large, and the work efficiency is low: taking 500 piglets as an example, 3 hours are needed in the marketing process of a pig farm in a manual point counting mode, the process needs personnel to put pigs and count pigs in batches and the flow and frequency of the piglets in a pig outlet channel need manual control, otherwise, the accuracy of counting is difficult to ensure, and in view of the fact that farmers are more intensive and large in scale at present, the work is too time-consuming and labor-consuming for a farm with thousands of piglets at one time. Therefore, advanced management modes and informatization technical means are needed to solve the problems, reduce the workload of staff and improve the production efficiency.
Disclosure of Invention
Aiming at the problems existing in the prior art, the invention provides an automatic piglet output counting platform and an automatic piglet output counting method, and the technical problems to be solved by the invention are as follows: how to lighten the workload of staff and improve the production efficiency when the piglets are counted out of the fence.
In order to achieve the above object, the present invention is realized according to the following technical scheme:
on the one hand, the invention provides an automatic counting platform for piglet slaughtering, which comprises at least one AI (advanced technology) camera, a conveyor belt, baffle plates, a support frame, an engine and a background control system, wherein the AI camera is erected above the platform, the baffle plates are arranged on two sides of the conveyor belt, the support frame is arranged below the platform, the engine is arranged on one side of the conveyor belt, and the background control system is connected with the AI camera through network transmission.
Further, the background control system comprises a background server and intelligent counting software, wherein a user sends instructions of 'starting counting' and 'ending counting' through the intelligent counting software, and each batch of counting records and video recordings are produced at the same time; the background server provides hardware support for development and installation of intelligent counting software, and provides a storage environment for metadata records received by subsequent image acquisition, video storage and back-end statistical analysis software.
Further, the baffle is obliquely arranged at two sides of the conveyor belt to form a platform framework space with a large upper part and a small lower part, so that the space range which can be shot by the AI camera can be enlarged to enhance the shooting and identifying accuracy, and the pig can be prevented from deviating and falling down from the platform.
Further, the support frame is adjustable, and the angle, the width and the height of the platform can be adjusted through the adjustment of the support frame, so that good butt joint with the original pig outlet table in the pig farm is realized.
On the other hand, the invention also provides an automatic piglet out-of-line counting method, which comprises the following steps:
s1, constructing a background server: creating an enterprise-level machine room environment, building a data center, and building 2 enterprise-level servers with 64g of memory and 64t of storage;
s2, intelligent counting software development: based on the Haikang vision AI Cloud open platform, a software system counting module is developed, wherein the module is mainly used for counting buttons in the project implementation process, clicking a start button to start counting, clicking an end button to finish counting of the current batch, generating counting records and video recordings of each batch, and storing the counting records and the video recordings in a background server;
s3, designing and constructing an integral platform: selecting a piglet slaughtering channel of a pig farm as a counting scene, constructing an automatic counting platform above the channel, adjusting the angle, width and height of the automatic counting platform according to a channel framework to enable the automatic counting platform to be well butted with the slaughtering channel, adjusting the rotating speed of an engine to control the piglet transmission rate, and adjusting the angle and focal length of an AI (advanced technology) camera to ensure perfect overlapping of the irradiation range and a platform plane;
s4, data modeling: intercepting a large number of videos and pictures of a piglet out-of-line channel scene through an AI (advanced technology attachment) camera, storing the videos and pictures in a background server, and establishing a model for counting piglets through manual calibration;
s5, incremental learning and training of an algorithm model: importing a large number of videos and pictures stored in a background server into a system model, providing field materials and scenes for AI operation to perform deep learning and training, and performing real-time calibration analysis on shot pig images by utilizing the visual perception capability and the deep learning capability of a camera to form a 'calibration object' of an operation model;
s6, system counting operation: setting a 'calibration line' at the middle position of a camera irradiation area, when a calibration object passes through the calibration line, carrying out '1 adding' operation in a counting module, when the calibration object reversely passes through the 'calibration line', carrying out '1 subtracting' operation in the counting module, when a counting software module is clicked to start a button, starting operation by system counting, stopping the counting operation when an ending button is clicked, simultaneously generating an operation record, recording an entering number, a returning number and a counting result subtracted by the entering number and the returning number, storing the counting result in a background server, providing one material training and learning for an algorithm model by each stored operation record, and associating the material training and learning with an AI camera algorithm, thereby enabling a calculation result to be more and more accurate.
The invention has the advantages and positive effects that:
1. the automatic piglet counting platform is built, so that the problems of crowding and stacking of the pig flock can be effectively solved, the irradiation dead angle and useless areas of the camera are eliminated, the accurate counting of the pig flock by the camera is realized, the platform is easy and convenient to assemble and disassemble, only the AI camera is required to be installed, a set of integral piglet counting platform is formed, the scheme input-output ratio is high, and the popularization feasibility is strong;
2. improving piglet slaughtering efficiency, optimizing personnel configuration: the counting is carried out through the visual perception and the deep learning capability of the AI camera, the on-site counting of the staff is not needed any more, the piglets are driven into the vehicle, the personnel configuration of the on-site staff can be optimized, the resources are reasonably utilized, the marketing business efficiency of the piglets is greatly improved, and the time span is reduced;
3. facilitating biosafety management efforts: the intelligent camera is arranged for counting, so that the number of people reaching the area of the to-be-sold house can be reduced, such as a cooperative family farmer, swinery counting personnel and the like, thereby reducing personnel contact, avoiding disease transmission risks and ensuring biological safety work;
4. providing a reliable, traceable basis: the counting and operation process of the AI artificial intelligent camera can record and store videos, so that 30-day video recording inquiry is satisfied, when the number of piglets is objectified by a raising user, the number of piglets can be verified in a playback video recording mode, and powerful on-site evidence is provided for a company, and unnecessary contradictions and disputes are avoided;
5. the project application scene is wide, and the popularization and the implementation are easy: the project implementation is simple, the operability is strong, only one intelligent AI camera needs to be installed in a pig farm for sale house channel, so that the project cost is low, the input-output ratio is high, and the popularization and application prospect is wide.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic plan view of an automatic counting platform of the present invention;
FIG. 2 is a flow chart of an automatic counting method according to the present invention.
Reference numerals illustrate:
1. a camera; 2. a conveyor belt; 3. a baffle; 4. a support frame; 5. an engine; 6. and a background control system.
Detailed Description
In order to make the above objects, features and advantages of the present invention more comprehensible, the following detailed description of the technical solution of the present invention refers to the accompanying drawings and specific embodiments. It should be noted that the described embodiments are only some embodiments of the present invention, and not all embodiments, and that all other embodiments obtained by persons skilled in the art without making creative efforts based on the embodiments in the present invention are within the protection scope of the present invention.
Examples
As shown in fig. 1, the invention provides an automatic counting platform for piglet slaughtering, which comprises at least one AI (advanced technology) camera 1, a conveyor belt 2, baffle plates 3 arranged on two sides of the conveyor belt, a support frame 4 arranged below the platform, an engine 5 arranged on one side of the conveyor belt, and a background control system 6, wherein the background control system 6 is connected with the AI camera 1 through network transmission.
The AI camera 1 collects images of past swinery and transmits information to the background control system 6 through a network; the background control system 6 processes and stores the data, and feeds the stored data back to the AI camera 1 as materials for deep learning and training to form a 'calibration object' of the operation model; the motor 5 is used for driving the platform conveyor belt 2, stably evacuating and preventing crowded stacking of the swinery, and conveying piglets to the same direction to prevent backflow of the pigs.
Preferably, the background control system 6 comprises a background server and intelligent counting software, and a user sends instructions of 'start counting' and 'end counting' through the intelligent counting software, and each batch of counting records and video recordings are produced at the same time; the background server provides hardware support for development and installation of intelligent counting software, provides a storage environment for metadata records received by subsequent image acquisition, video storage and back-end statistical analysis software, and stores video data and operation processes acquired by the front end in a self-built server to form an independent database; the intelligent counting software is developed based on an AI Cloud open platform, and is mainly used for counting buttons in the project implementation process, starting counting by clicking a start button, finishing counting of the current batch by clicking an end button, generating counting records and video recordings of each batch at the same time, and storing the counting records and the video recordings in a background server.
Preferably, the baffle plates 3 are obliquely arranged at two sides of the conveyor belt to form a platform framework space with a large upper part and a small lower part, so that the space range which can be shot by the AI camera 1 can be enlarged to enhance the shooting and identifying accuracy, and the pigs can be prevented from deflecting and falling down the platform at the same time.
Preferably, the support frame 4 is adjustable, the angle, the platform width and the platform height of the whole counting platform can be adjusted through the adjustment of the support frame 4, the pig-outputting platform framework of the pig farm in a selected scene is referred, the pig-outputting platform framework is matched according to the shape and the size of the pig-outputting platform, and the height, the angle, the width and the like of the platform installation are determined, so that good butt joint with the original pig-outputting platform of the pig farm is realized.
As shown in fig. 2, the invention also provides an automatic piglet out-of-line counting method, which comprises the following steps:
s1, constructing a background server: an enterprise-level machine room environment is created, a data center is established, 2 enterprise-level servers with 64g of memory and 64t of storage are established, hardware support is provided for intelligent counting software module development and installation, a storage environment is provided for metadata records received by follow-up image acquisition, video storage and back-end statistical analysis software, and video data and operation processes acquired by the front end are stored in a background server to form an independent database.
S2, intelligent counting software development: based on the Haikang vision AI Cloud open platform, a software system counting module is developed, wherein the module is mainly used for counting buttons in the project implementation process, clicking a start button to start counting, clicking an end button to finish counting of the current batch, generating counting records and video recordings of each batch, and storing the counting records and the video recordings in a background server;
s3, designing and constructing an integral platform: selecting a piglet out-of-line channel of a pig farm as a counting scene, constructing an automatic counting platform above the channel, adjusting the angle, width and height of the automatic counting platform according to a channel framework to enable the automatic counting platform to be well butted with the out-of-line channel, adjusting the rotating speed of an engine to control the piglet transmission rate (the optimal that piglet groups are not stacked, crowded and reflowed on the out-of-line channel), and adjusting the angle and focal length of an AI (automatic counting) camera to ensure perfect overlapping of the irradiation range and the platform plane;
s4, data modeling: intercepting a large number of videos and pictures of a piglet out-of-line channel scene through an AI (advanced technology attachment) camera, storing the videos and pictures in a background server, and establishing a model for counting piglets through manual calibration;
s5, incremental learning and training of an algorithm model: importing a large number of videos and pictures stored in a background server into a system model, providing field materials and scenes for AI operation to perform deep learning and training, and performing real-time calibration analysis on shot pig images by utilizing the visual perception capability and the deep learning capability of a camera to form a 'calibration object' of an operation model;
s6, system counting operation: setting a 'calibration line' at the middle position of a camera irradiation area, when a calibration object passes through the calibration line, carrying out '1 adding' operation in a counting module, when the calibration object reversely passes through the 'calibration line', carrying out '1 subtracting' operation in the counting module, when a counting software module is clicked to start a button, starting operation by system counting, stopping the counting operation when an ending button is clicked, simultaneously generating an operation record, recording an entering number, a returning number and a counting result subtracted by the entering number and the returning number, storing the counting result in a background server, providing one material training and learning for an algorithm model by each stored operation record, and associating the material training and learning with an AI camera algorithm, thereby enabling a calculation result to be more and more accurate.
According to the invention, by building the automatic piglet out-of-stock counting platform, the problems of crowding and stacking of the pig flocks can be effectively solved, the irradiation dead angles and useless areas of the camera are eliminated, and the accurate counting of the pig flocks by the camera is realized; meanwhile, the counting is performed through the visual perception and the deep learning capability of the AI camera, so that the piglet marketing efficiency can be improved, the personnel configuration is optimized, and the pig farm marketing time span is reduced; by reducing the number of counting personnel, personnel contact can be reduced, disease transmission risks are avoided, and biological safety work is ensured; furthermore, the automatic counting platform and the automatic counting method disclosed by the invention have wide application scenes, are easy to popularize and implement, have lower project cost and high input-output ratio. It is worth to say that, with the continuous deepening of machine learning, the automatic counting platform and the automatic counting method disclosed by the invention can be applied to more business application scenes, thereby improving the intellectualization and automation level of enterprises, and are not limited to a single scene of piglet output channels.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of the invention should be assessed as that of the appended claims.
Claims (5)
1. The automatic piglet out-of-line counting method is characterized by comprising the following steps of:
s1, constructing a background server: creating an enterprise-level machine room environment, building a data center, and building 2 enterprise-level servers with 64g of memory and 64t of storage;
s2, intelligent counting software development: based on the Haikang vision AI Cloud open platform, a software system counting module is developed, wherein the module is mainly used for counting buttons in the project implementation process, clicking a start button to start counting, clicking an end button to finish counting of the current batch, generating counting records and video recordings of each batch, and storing the counting records and the video recordings in a background server;
s3, designing and constructing an integral platform: selecting a piglet slaughtering channel of a pig farm as a counting scene, constructing an automatic counting platform above the channel, adjusting the angle, width and height of the automatic counting platform according to a channel framework to enable the automatic counting platform to be well butted with the slaughtering channel, adjusting the rotating speed of an engine to control the piglet transmission rate, and adjusting the angle and focal length of an AI (advanced technology) camera to ensure perfect overlapping of the irradiation range and a platform plane;
s4, data modeling: intercepting a large number of videos and pictures of a piglet out-of-line channel scene through an AI (advanced technology attachment) camera, storing the videos and pictures in a background server, and establishing a model for counting piglets through manual calibration;
s5, incremental learning and training of an algorithm model: importing a large number of videos and pictures stored in a background server into a system model, providing field materials and scenes for AI operation to perform deep learning and training, and performing real-time calibration analysis on shot pig images by utilizing the visual perception capability and the deep learning capability of a camera to form a 'calibration object' of an operation model;
s6, system counting operation: setting a 'calibration line' at the middle position of a camera irradiation area, when a calibration object passes through the calibration line, carrying out '1 adding' operation in a counting module, when the calibration object reversely passes through the 'calibration line', carrying out '1 subtracting' operation in the counting module, when a counting software module is clicked to start a button, starting operation by system counting, stopping the counting operation when an ending button is clicked, simultaneously generating an operation record, recording an entering number, a returning number and a counting result subtracted by the entering number and the returning number, storing the counting result in a background server, providing one material training and learning for an algorithm model by each stored operation record, and associating the material training and learning with an AI camera algorithm, thereby enabling a calculation result to be more and more accurate.
2. An automatic piglet out-of-line counting platform, characterized in that the counting method of claim 1 is adopted to count piglets, and the automatic piglet out-of-line counting platform further comprises: the automatic control system comprises at least one AI camera arranged above a platform, a conveyor belt, baffles arranged on two sides of the conveyor belt, a supporting frame arranged below the platform, an engine arranged on one side of the conveyor belt, and a background control system, wherein the background control system is connected with the AI camera through network transmission.
3. The piglet out-of-line automatic counting platform of claim 2, wherein the background control system comprises a background server and intelligent counting software.
4. The automatic piglet out-of-line counting platform according to claim 2, wherein the baffles are obliquely placed on two sides of the conveyor belt to form a platform framework space with a large upper part and a small lower part.
5. The automatic piglet out-of-line counting platform according to claim 2, wherein the support frame is adjustable, and the platform angle, the platform width and the platform height can be adjusted by adjusting the support frame, so that good docking with the original out-of-line pig platform in the pig farm is achieved.
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| CN113628165A (en) * | 2021-07-12 | 2021-11-09 | 杨龙 | Livestock rotating fence checking method, device and storage medium |
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