Automatic sorting equipment and system aiming at feather color and health condition of poultry

By designing automation equipment, using CCD cameras and integrated controllers to identify the feather color and health status of poultry, and realizing automatic sorting, the problem of low identification and sorting efficiency in the prior art is solved, and the breeding efficiency and economic benefits are improved.

CN222491100UActive Publication Date: 2025-02-18CHINA AGRI UNIV
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Patent Information

Application Number
CN202420924713.6
Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
Priority Date
2023-12-22
Filing Date
2024-04-29
Publication Date
2025-02-18
Estimated Expiration
2034-04-29

AI Technical Summary

Technical Problem

The prior art is difficult to quickly and accurately identify and sort the plume and health of poultry, especially in large-scale farming environments, resulting in inefficiency and economic losses.

Method used

An automated device was designed, including feeding stations, identification stations and discharge stations, using CCD cameras and integrated controllers to identify poultry feathers and health conditions, and automatic sorting through conveyor belts and tilted discharge plates .

Benefits of technology

It realizes rapid and accurate identification and sorting of poultry plumes and health conditions, improves breeding efficiency and economic benefits, and reduces artificial errors and market risks.

✦ Generated by Eureka AI based on patent content.

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Abstract

The utility model relates to the technical field of automatic poultry processing, in particular to automatic sorting equipment and system aiming at the feather color and health condition of poultry. The equipment comprises a feeding station, a recognition station and a discharging station which are arranged in sequence. The feeding station comprises a conveying belt, the recognition station comprises a fixing plate arranged at the tail end of the conveying belt in an extending mode, and the discharging station comprises inclined discharging plates arranged on the two sides, relative to the connecting direction of the conveying belt, of the fixing plate. The recognition station further comprises three CCD cameras, the CCD cameras capture images of the poultry falling on the fixing plate and transmit the images to the integrated controller, and the integrated controller can judge the feather color and the health condition of the corresponding poultry according to the captured images; by adopting the equipment and the system in the scheme, high-precision and full-automatic sorting aiming at the feather color and the health condition of the poultry can be realized, a farmer can adjust a feeding strategy in time, and the health and the production of the poultry are guaranteed.
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Description

Technical Field

[0001] The utility model relates to the technical field of poultry automation processing, in particular to an automatic sorting device and system for poultry feather color and health status. Background Art

[0002] Poultry, especially chicken, as an important agricultural and livestock product, has become one of the largest and most popular livestock worldwide. In modern farming, the feather color and health of poultry are two crucial factors, which are related to the production, quality and economic benefits of poultry. The identification of poultry feather color and the assessment of health status have long been important topics of concern and discussion for breeders and researchers.

[0003] Feather color is an important external feature of poultry and is closely related to the genetic traits, growth and development, and economic benefits of poultry. Feather color is often used as a selective trait. From an economic perspective, certain specific feather colors are more popular in the market in different regions or at different times, and therefore can bring higher economic benefits. In addition, different feather colors may mean different nutritional requirements and feeding management strategies, and may also be a precursor to certain diseases and health problems. Therefore, accurate and rapid identification of poultry feather color is of vital importance for optimizing poultry production.

[0004] In addition, from a health perspective, the health status of adult chickens is directly related to the quality of their meat and eggs. Unhealthy chickens not only have poor meat quality and low nutritional value, but may also carry disease pathogens, which may pose a threat to human health after consumption. Therefore, it is very difficult to sell chickens in poor health in the market, or even impossible to sell them. For farmers, this means huge economic losses. In order to ensure the health of chickens and from an economic perspective, farmers need a method to promptly and accurately identify chickens in poor health and separate them from healthy chickens.

[0005] For a long time, the feather color and health of poultry have mainly relied on the experience and visual observation of breeders. Manual identification is slow, and for large-scale poultry farming companies, this method obviously cannot meet their production needs. Secondly, relying solely on the experience of breeders for identification is not only inefficient but also prone to errors, especially in large-scale, industrialized farming environments. In addition, due to the subjectivity of manual operation, it may lead to inconsistency in classification, thus affecting the market performance of the product. Utility Model Content

[0006] In view of the deficiencies in the prior art, the purpose of the utility model is to provide an automated device that can automatically identify the feather color and health status of poultry and sort them at the same time, and can provide accurate and reliable identification results, thereby effectively improving breeding efficiency and economic benefits. It is an automatic sorting device and system for poultry feather color and health status.

[0007] In order to solve the above technical problems, the technical solution provided by the utility model is: the automatic sorting equipment for poultry feather color and health status comprises a loading station, an identification station and a unloading station arranged in sequence;

[0008] The loading station includes a conveyor belt, the identification station includes a fixed plate extending from the end of the conveyor belt, and the unloading station includes inclined unloading plates arranged on both sides of the fixed plate relative to the connection direction with the conveyor belt;

[0009] The loading station further comprises a partition plate arranged at the end of the conveyor belt, the partition plate can move horizontally forward and backward in the conveying direction of the conveyor belt, and can move up and down in the direction perpendicular to the conveyor belt, and the partition plate can separate the poultry conveyed at intervals on the conveyor belt;

[0010] The identification station also includes three CCD cameras, which capture images of poultry falling on the fixed plate and transmit the images to the integrated controller, which can determine the feather color and health status of the corresponding poultry based on the captured images;

[0011] Two of the CCD cameras are respectively arranged above the two sides of the fixing plate relative to the connection direction of the conveyor belt, and another CCD camera is arranged above the other side of the fixing plate relatively away from the connection direction of the conveyor belt;

[0012] The fixing plate can rotate toward the blanking plates located on the left and right sides.

[0013] Furthermore, the loading station also includes baffles arranged on both sides above the conveyor belt, and the distance between the two baffles is adjustable.

[0014] Furthermore, a groove matching the thickness and spacing of the baffle is formed at the bottom of the partition plate.

[0015] Furthermore, the shooting angles of the three CCD cameras can be adjusted through external control.

[0016] Furthermore, the device also includes a plurality of temperature sensors and humidity sensors for monitoring the surrounding environmental conditions of the device.

[0017] A human-computer interaction system applied to the above-mentioned automatic sorting equipment for poultry feather color and health status, the system comprising an image acquisition module, an image processing module, an integrated control module, a motion control module, a data storage module and a human-computer interaction module;

[0018] The image acquisition module is used to acquire images of poultry to be sorted;

[0019] The user inputs standard information of poultry sorting through the human-computer interaction module, and the human-computer interaction module sends the standard information to the integrated control module;

[0020] The image processing module is used to analyze the feather color and health status of the poultry to be sorted according to the poultry images collected by the image collection module to obtain result data, and send the result data to the integrated control module;

[0021] The data storage module is used to store the result data obtained by each processing of the image processing module;

[0022] The integrated control module sends motion control information to the motion control module according to the result data sent by the image processing module;

[0023] The motion control module controls the automatic sorting device to perform sorting work according to the received motion control information.

[0024] Furthermore, the system also includes a cloud server established in the cloud, and the data storage module sends the stored result data to the cloud server, and the user can obtain the result data stored in the data storage module through the cloud server.

[0025] Furthermore, the image processing module identifies the feather color of the poultry to be sorted through a convolutional neural network and an attention mechanism;

[0026] Among them, the attention mechanism adopts the SENet structure, which includes a global average pooling layer, a fully connected layer, a Sigmoid excitation layer and a feature recalibration layer. The global average pooling layer is used to compress the features of each channel into a single value to provide channel-level global information; the fully connected layer and the Sigmoid excitation layer are used to learn the importance of each channel and ensure that the output value is between 0 and 1 through the Sigmoid activation function; the feature recalibration layer is used to apply the importance weight to the original feature map through element multiplication.

[0027] Furthermore, the convolutional neural network uses two paths of high-resolution image input and low-resolution image input, and fuses the features of the two paths in the output layer of the convolutional neural network;

[0028] The user can adjust the feature ranges respectively identified by the high-resolution image input path and the low-resolution image input path through the human-computer interaction module. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0030] Figure 1 It is a three-dimensional structural schematic diagram of the sorting equipment in the utility model;

[0031] Figure 2 It is another three-dimensional structural schematic diagram of the sorting device in the utility model;

[0032] In the figure: 1-loading station, 2-identification station, 3-unloading station, 11-conveyor belt, 12-baffle, 13-partition plate, 131-embedded groove, 21-fixed plate, 22-CCD camera, 31-unloading plate. DETAILED DESCRIPTION

[0033] The preferred examples of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred examples described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0034] like Figure 1 and 2 As shown, the automatic sorting equipment for poultry feather color and health status described in the utility model includes a loading station 1, an identification station 2 and a unloading station 3 which are arranged in sequence.

[0035] Among them, the loading station 1 includes a conveyor belt 11 and baffles 12 arranged on both sides above the conveyor belt 11. The distance between the two baffles 12 is adjustable. Therefore, when the poultry to be sorted is conveyed on the conveyor belt 11, the baffles 12 can limit the poultry to ensure that it can enter the identification station 2 in a relatively central position for easy identification.

[0036] The loading station 1 also includes a partition plate 13 arranged at the end of the conveyor belt 11, and the partition plate 13 is connected to the four cylinder transmission controlled by the medium-pressure three-position five-way reversing solenoid valve arranged on the frame, thereby enabling the partition plate 13 to move horizontally forward and backward relative to the conveyor belt 11 in the conveying direction, as well as move up and down perpendicular to the conveyor belt 11, while ensuring the accuracy of the partition plate 13 during movement.

[0037] A groove 131 matching the thickness and spacing of the baffle 12 is provided at the bottom of the partition plate 13, so that when the partition plate 13 is lowered, the baffle 12 can be stuck in the groove 131, thereby better separating the poultry at a lower height. The function of the partition plate 13 here is to ensure that the poultry enters the identification station 2 one by one.

[0038] Specifically, the identification station 2 includes a fixed plate 21 extended at the end of the conveyor belt 11, and the fixed plate 21 is fixedly connected to a rotating shaft that can rotate in both sides of the conveyor belt 11. At the same time, the rotating shaft is transmission-connected to a motor that controls its rotation, thereby realizing the left and right rotation of the fixed plate 21.

[0039] The identification station 2 also includes three CCD cameras 22, which are respectively arranged above the left and right sides of the fixed plate 21 and the rear side, that is, above the other side of the connection direction relatively away from the conveyor belt 21, thereby capturing images of the poultry to be sorted that are transmitted from the conveyor belt 21 and fall onto the fixed plate 21 from three directions, and sending the captured images to the integrated controller.

[0040] The shooting angles of the three CCD cameras 22 can be adjusted by external control, thereby realizing more comprehensive image acquisition of the poultry to be sorted, thereby improving the sorting accuracy.

[0041] Subsequently, the integrated controller analyzes and processes the collected images and obtains processing results.

[0042] The unloading station 3 includes inclined unloading plates 31 arranged on the left and right sides of the fixed plate 21. Under normal circumstances, the sorting result can be simplified to pass or fail. According to different results, the fixed plate 21 can be controlled by the integrated controller, and the motor drives the rotating shaft to rotate, thereby driving the fixed plate 21 to rotate toward the unloading plate 31 representing pass or fail, and finally completing the sorting of poultry.

[0043] It can be seen that the device has a special display screen, which can display the poultry identification results and the working status of the device in real time, so that the staff can timely understand the equipment and sorting work status. The integrated controller includes an alarm module, which corresponds to the alarm device installed on the equipment. When the equipment fails or the staff obtains unqualified results according to the preset identification, an alarm will be issued to remind the staff to intervene and maintain in time. Similarly, a buzzer device is installed on the device, which can emit different prompt sounds when different identification results are obtained.

[0044] The bottom of the device is also provided with pulleys to facilitate adjustment of displacement as needed on the production line.

[0045] In the above scheme, the CCD camera 22 can work stably under different light conditions to ensure accurate identification of the feather color of poultry in various environments, and is equipped with an autofocus function to ensure sufficient clarity of the captured image. The CCD camera 22 can be equipped with an infrared detection function to identify the body temperature of poultry.

[0046] In addition, the shell of the entire device is made of waterproof and dustproof materials to ensure stable operation in harsh environments, and the surface of the moving parts is also treated with acid corrosion resistance to ensure smooth operation of the moving parts. The device also includes multiple temperature sensors and humidity sensors to monitor the surrounding environmental conditions of the device.

[0047] The utility model discloses a human-computer interaction system for automatic sorting equipment for poultry feather color and health status, the system comprising an image acquisition module, an image processing module, an integrated control module, a motion control module, a data storage module and a human-computer interaction module;

[0048] The image acquisition module is used to acquire images of poultry to be sorted;

[0049] The user inputs the standard information of poultry sorting through the human-computer interaction module, and the human-computer interaction module sends the standard information to the integrated control module;

[0050] The image processing module is used to analyze the feather color and health status of the poultry to be sorted according to the poultry images acquired by the image acquisition module to obtain result data, and send the result data to the integrated control module, wherein the health status includes but is not limited to body temperature, feather texture, abdominal cavity condition, deformed leg claws, etc.;

[0051] The data storage module is used to store the result data obtained by each processing of the image processing module, and can store a large amount of sample data of poultry feather color;

[0052] The integrated control module sends the motion control information to the motion control module according to the result data sent by the image processing module;

[0053] The motion control module controls the automatic sorting equipment to perform sorting work according to the received motion control information.

[0054] The system also includes a cloud server established in the cloud. The data storage module sends the stored result data to the cloud server. Users can obtain the result data stored in the data storage module through the cloud server, so that farmers can conduct long-term data tracking and analysis.

[0055] The image processing module uses a convolutional neural network and an attention mechanism to identify the feather color of the poultry to be sorted;

[0056] Among them, the attention mechanism adopts the SENet structure, which includes a global average pooling layer, a fully connected layer, a Sigmoid excitation layer, and a feature recalibration layer. The global average pooling layer is used to compress the features of each channel into a single value to provide channel-level global information; the fully connected layer and the Sigmoid excitation layer are used to learn the importance of each channel and ensure that the output value is between 0 and 1 through the Sigmoid activation function; the feature recalibration layer is used to apply the importance weights to the original feature map through element-wise multiplication.

[0057] The convolutional neural network uses two paths: high-resolution image input and low-resolution image input, and fuses the features of the two paths in the output layer of the convolutional neural network;

[0058] The user can adjust the feature ranges respectively recognized by the high-resolution image input path and the low-resolution image input path through the human-computer interaction module.

[0059] Specifically, high-resolution input can perform more detailed recognition and provide rich detailed information, which is especially important for identifying features on the surface of poultry bodies, such as scars and subtle differences in feathers, thereby improving the accuracy of overall recognition; while low-resolution input can help to quickly capture the overall feather color distribution and pattern, facilitate overall color recognition, and also help to increase the processing speed of the model.

[0060] Finally, it should be noted that the above description is only a preferred example of the utility model and is not intended to limit the utility model. Although the utility model is described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions recorded in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the utility model shall be included in the protection scope of the utility model.

Claims

1. An automatic sorting device for poultry feather color and health status, characterized in that: The equipment includes a loading station, an identification station and a unloading station which are arranged in sequence; The loading station includes a conveyor belt, the identification station includes a fixed plate extending from the end of the conveyor belt, and the unloading station includes inclined unloading plates arranged on both sides of the fixed plate relative to the connection direction with the conveyor belt; The loading station further comprises a partition plate arranged at the end of the conveyor belt, the partition plate can move horizontally forward and backward in the conveying direction of the conveyor belt, and can move up and down in the direction perpendicular to the conveyor belt, and the partition plate can separate the poultry conveyed at intervals on the conveyor belt; The identification station also includes three CCD cameras, which capture images of poultry falling on the fixed plate and transmit the images to the integrated controller, which can determine the feather color and health status of the corresponding poultry based on the captured images; Two of the CCD cameras are respectively arranged above the two sides of the fixing plate relative to the connection direction of the conveyor belt, and another CCD camera is arranged above the other side of the fixing plate relatively away from the connection direction of the conveyor belt; The fixing plate can rotate toward the blanking plates located on the left and right sides.

2. The automatic sorting device for poultry feather color and health status according to claim 1 is characterized in that: The loading station also includes baffles arranged on both sides above the conveyor belt, and the distance between the two baffles is adjustable.

3. The automatic sorting device for poultry feather color and health status according to claim 2 is characterized in that: The bottom of the partition plate is provided with an embedding groove matching the thickness and spacing of the baffle plate.

4. The automatic sorting device for poultry feather color and health status according to claim 1, characterized in that: The shooting angles of the three CCD cameras can be adjusted through external control.

5. The automatic sorting device for poultry feather color and health status according to claim 1, characterized in that: The device also includes multiple temperature sensors and humidity sensors for monitoring the ambient conditions of the device.

6. A human-computer interaction system applied to the automatic sorting equipment for poultry feather color and health status as described in any one of claims 1 to 5, characterized in that: The system includes an image acquisition module, an image processing module, an integrated control module, a motion control module, a data storage module and a human-computer interaction module; The image acquisition module is used to acquire images of poultry to be sorted; The user inputs standard information of poultry sorting through the human-computer interaction module, and the human-computer interaction module sends the standard information to the integrated control module; The image processing module is used to analyze the feather color and health status of the poultry to be sorted according to the poultry images collected by the image collection module to obtain result data, and send the result data to the integrated control module; The data storage module is used to store the result data obtained by each processing of the image processing module; The integrated control module sends motion control information to the motion control module according to the result data sent by the image processing module; The motion control module controls the automatic sorting device to perform sorting work according to the received motion control information.

7. The human-computer interaction system according to claim 6, characterized in that: The system also includes a cloud server established in the cloud, and the data storage module sends the stored result data to the cloud server, and the user can obtain the result data stored in the data storage module through the cloud server.

8. The human-computer interaction system according to claim 6, characterized in that: The image processing module recognizes the feather color of the poultry to be sorted by using a convolutional neural network and an attention mechanism; Among them, the attention mechanism adopts the SENet structure, which includes a global average pooling layer, a fully connected layer, a Sigmoid excitation layer and a feature recalibration layer. The global average pooling layer is used to compress the features of each channel into a single value to provide channel-level global information; the fully connected layer and the Sigmoid excitation layer are used to learn the importance of each channel and ensure that the output value is between 0 and 1 through the Sigmoid activation function; the feature recalibration layer is used to apply the importance weight to the original feature map through element multiplication.

9. The human-computer interaction system according to claim 8, characterized in that: The convolutional neural network uses two paths of high-resolution image input and low-resolution image input, and fuses the features of the two paths in the output layer of the convolutional neural network; The user can adjust the feature ranges respectively identified by the high-resolution image input path and the low-resolution image input path through the human-computer interaction module.