CN114041429A - Method and system for controlling feeding of feeding container through visual recognition - Google Patents
Method and system for controlling feeding of feeding container through visual recognition Download PDFInfo
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- 230000000007 visual effect Effects 0.000 title claims abstract description 36
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- 238000001514 detection method Methods 0.000 claims abstract description 34
- 238000012545 processing Methods 0.000 claims description 17
- 238000005516 engineering process Methods 0.000 claims description 10
- 238000012840 feeding operation Methods 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 4
- 230000011218 segmentation Effects 0.000 claims description 3
- 239000000463 material Substances 0.000 abstract description 13
- 238000009395 breeding Methods 0.000 abstract description 6
- 230000001488 breeding effect Effects 0.000 abstract description 6
- 230000000694 effects Effects 0.000 abstract description 6
- 230000002349 favourable effect Effects 0.000 abstract description 3
- 238000012423 maintenance Methods 0.000 abstract description 3
- 230000008569 process Effects 0.000 description 4
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- 239000012611 container material Substances 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000002452 interceptive effect Effects 0.000 description 2
- 230000035945 sensitivity Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 238000009360 aquaculture Methods 0.000 description 1
- 244000144974 aquaculture Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
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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
- A01K5/00—Feeding devices for stock or game ; Feeding wagons; Feeding stacks
- A01K5/02—Automatic devices
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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
- A01K39/00—Feeding or drinking appliances for poultry or other birds
- A01K39/01—Feeding devices, e.g. chainfeeders
- A01K39/012—Feeding devices, e.g. chainfeeders filling automatically, e.g. by gravity from a reserve
- A01K39/0125—Panfeeding systems; Feeding pans therefor
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Abstract
The application relates to a method and a system for controlling feeding of a feeding container through visual identification, belonging to the technical field of intelligent breeding; carrying out visual identification detection according to the image data, and judging whether the feed in the container is insufficient; when judging that the feed is insufficient, generating and outputting a first trigger signal so that a feeding device carries out feeding control operation on the feeding container based on the first trigger signal. The detection control mode in this application, detection effect is better and comprehensive maintenance cost is low, is favorable to realizing more reliable material loading control.
Description
Technical Field
The application belongs to the technical field of intelligent breeding, and particularly relates to a method and a system for controlling feeding of a feeding container through visual recognition.
Background
With the continuous development of science and technology, in the breeding industry, breeding is also intensive and automatic from scattered breeding and small-scale breeding.
In the correlation technique, the current material volume detection to feeding container is based on capacitive sensor goes on, receives external signal interference easily, leads to the sensor misjudgement, and the sensitivity of this type of sensor between individual has the difference, need adjust one by one and reach the same detection effect, can increase extra artificial burden and unreliable factor.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
For overcoming the problem that exists in the correlation technique at least to a certain extent, the application provides a method and system of visual identification control feeding container material loading, based on visual identification technique, carries out material level detection and material loading control, helps avoiding the drawback among the prior art, realizes more reliable material loading control.
In order to achieve the purpose, the following technical scheme is adopted in the application:
in a first aspect,
the application provides a method for controlling feeding of a feeding container through visual recognition, which comprises the following steps:
collecting image data of a feeding container in real time;
carrying out visual identification detection according to the image data, and judging whether the feed in the container is insufficient;
when judging that the feed is insufficient, generating and outputting a first trigger signal so that a feeding device carries out feeding operation on the feeding container based on the first trigger signal.
Optionally, performing visual identification detection according to the image data, and determining whether the feed in the container is insufficient includes:
performing segmentation processing on the image data, and extracting image data of an area outside a container as target image data;
and judging the gray distribution of the target image data based on a preset judgment rule to determine whether the feed in the container is insufficient.
Optionally, the visual identification detection is implemented by using a third-party visual identification technology framework.
Optionally, the method further comprises the step of generating early warning information when the feed is judged to be insufficient, and uploading the early warning information to a cloud server.
Optionally, the warning information is uploaded based on a wireless communication mode.
Optionally, after generating and outputting the first trigger signal, the method further includes:
carrying out visual identification detection according to the image data, and judging whether the feed in the container is sufficient;
and when the fodder is sufficient, generating and outputting a second trigger signal to the feeding device.
Optionally, the image data is shot and collected in real time through a camera device arranged at a preset position near the feeding container.
In a second aspect of the present invention,
the application provides a system for vision recognition control feeding container material loading, this system includes: an image pickup apparatus and a control processing apparatus;
the camera shooting equipment is arranged at a preset position near the feeding container and used for collecting image data of the feeding container in real time;
the control processing equipment is configured to perform visual recognition detection according to the image data, judge whether the feed in the container is insufficient or not, and generate and output a first trigger signal when the feed is judged to be insufficient.
Optionally, the control processing device is further configured to,
after the first trigger signal is generated and output, visual identification detection is carried out according to the image data, whether the fodder is sufficient in the container or not is judged, and when the fodder is sufficient, a second trigger signal is generated and output to the feeding device.
Optionally, the control processing device is further configured to generate early warning information when the feed is judged to be insufficient, and upload the early warning information to a cloud server.
This application adopts above technical scheme, possesses following beneficial effect at least:
the technical scheme of this application carries out visual identification to image data and detects through the image data of gathering feeding container, judges the fodder condition in the container to according to judging the condition and generating trigger signal, so that relevant loading attachment carries out material loading control operation to the container. This kind of detection control mode, detection effect is better and comprehensive maintenance cost is low, is favorable to realizing more reliable material loading control.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings are included to provide a further understanding of the technology or prior art of the present application and are incorporated in and constitute a part of this specification. The drawings expressing the embodiments of the present application are used for explaining the technical solutions of the present application, and should not be construed as limiting the technical solutions of the present application.
FIG. 1 is a schematic flow diagram of a method of visual identification control of feeding of a feed container provided in one embodiment of the present application;
FIG. 2 is a schematic illustration of the application of a method of visual identification control of feeding of a feed container in one embodiment of the present application;
fig. 3 is a schematic diagram illustrating a setting manner of an image pickup apparatus in an embodiment of the present application;
fig. 4 is an interactive schematic illustration of a visual identification control feed container feeding system in one embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail below. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without making any creative effort, shall fall within the protection scope of the present application.
As described in the background art, the existing feed quantity detection for the feeding container is performed based on a capacitive sensor, and is easily interfered by external signals, so that the sensor is misjudged, and the sensitivity of the individual sensors is different, so that the individual sensors need to be adjusted one by one to achieve the same detection effect, and additional artificial burden and unreliable factors are increased.
In view of the above, the application provides a method for controlling feeding of a feeding container, which is based on a visual identification technology to perform material level detection and feeding control, and helps to avoid the defects in the prior art and realize more reliable feeding control.
In one embodiment, as shown in figure 1, the method of controlling the feeding of a feeder container presented herein comprises the steps of:
step S110, collecting image data of a feeding container in real time;
for example, in the practical implementation of the scheme, a camera device may be disposed near the feeding container, and the image data may be captured in real time by the camera device disposed at a preset position near the feeding container, where it is easily understood that the preset position is specifically determined based on factors such as the type of the feeding container in the practical application scene, and site conditions.
After the image data of the feeding container is obtained, step S120 is carried out, visual identification detection is carried out according to the image data, and whether the feed in the container is insufficient or not is judged;
in the related art, the visual recognition technology is quite mature, and a related mature algorithm or solution can be used to determine whether the feed in the container is insufficient, and the related determination method will be described in the following embodiments, and will not be described in detail here.
Continuing to return to fig. 1, when the feed is judged to be insufficient through the judgment of step S120, step S130 is performed to generate and output a first trigger signal, so that the feeding device performs a feeding operation on the feeding container based on the first trigger signal.
As will be readily understood by those skilled in the art, as mentioned in the background, the existing aquaculture industry has a high automation level, and the feeding device is an existing device for feeding a feeding container (such as a stockline feeding device in a pig farm), and the first trigger signal generated in the technical solution of the present application can be used as a linkage signal to operate the feeding device, so as to realize an automatic feeding operation.
The technical scheme of this application carries out visual identification to image data and detects through the image data of gathering feeding container, judges the fodder condition in the container to according to judging the condition and generating trigger signal, so that relevant loading attachment carries out material loading control operation to the container. This kind of detection control mode, detection effect is better and comprehensive maintenance cost is lower, is favorable to realizing more reliable material loading control.
To facilitate understanding of the technical solutions of the present application, the technical solutions of the present application will be described below with reference to another embodiment.
In this embodiment, it is also necessary to collect image data of the feeding container in real time;
specifically, the image data is captured in real time by an image pickup device disposed at a preset position near the feeding container, as shown in fig. 3, which is a schematic view illustrating a manner of disposing the image pickup device in this embodiment, in fig. 3, 1 denotes the feeding container (here, the feeding container is translucent), and 2 denotes a camera (image pickup device).
After the image data of the feeding container are obtained, visual identification detection is carried out according to the image data, and whether the feed in the container is insufficient or not is judged;
specifically, in this embodiment, as shown in fig. 2, the image processor is an executing body of the recognition and detection process, and performs visual recognition and detection according to the image data to determine whether the feed in the container is insufficient (corresponding to the level recognition in fig. 2), and the implementation process includes:
performing segmentation processing on the image data, and extracting the image data of the outer area of the container as target image data;
and judging the gray distribution of the target image data based on a preset judgment rule to determine whether the feed in the container is insufficient.
It will be readily appreciated that, on account of the translucent nature of the feed container, there will be differences in the colour of the areas in the image on the outside of the feed container when there is no feed and when there is feed in the feed container. For example, when there is feed, the part with feed will be dark and the part without feed will be lighter (i.e. the principle of identifying the presence of feed based on the difference in color as shown in fig. 2). The judgment of whether the feed is insufficient can be realized by judging the gray distribution of the image data, for example, when the proportion of the area with the gray value larger than X in the target image is smaller than a threshold value a, the feed in the container is judged to be insufficient, and the specific numerical values of X and a which are easy to understand need to be specifically determined based on the requirements of the actual scene.
As mentioned above, in the related art, the vision recognition technology is well-developed, and for the convenience of implementation, the vision recognition detection in this embodiment can be implemented based on a third-party vision recognition technology framework, for example, the vision recognition detection can be implemented based on an OpenCV framework technology.
In this embodiment, when the feed is judged to be insufficient, a first trigger signal is generated and output, so that the feeding device (the feed line replenishing device in fig. 2) performs a feeding control operation on the feeding container based on the first trigger signal, and the feed line replenishing device is started to feed as shown in fig. 2.
As a specific implementation manner, in this embodiment, as shown in fig. 2, when the image processor determines that the feed is insufficient, the image processor further generates the warning information, and uploads the warning information to the cloud server, and then based on a specific configuration, the cloud server can forward the warning information to the intelligent terminal of the relevant person, so as to ensure the management requirement in the actual specific scene.
Specifically, in consideration of the comprehensive implementation cost, the early warning information may be uploaded based on a wireless communication manner, for example, the 4G or wifi communication manner shown in fig. 2 may be adopted for information uploading.
In addition, in an embodiment, based on the foregoing embodiment, in the technical solution of the present application, after generating and outputting the first trigger signal, the method further includes:
visual identification detection is carried out according to the image data, and whether the feed in the container is sufficient is judged (the judgment mode is similar to the realization mode of the feed deficiency judgment, and the repeated description is omitted);
and when the fodder is sufficient, generating and outputting a second trigger signal to the feeding device.
That is, in this embodiment, the feeding operation of the feeding device may not be quantitative once or timed once, and a correlation signal is required to determine the timing at which the feeding operation is stopped, based on which the second trigger signal may be generated and output in this manner as one of the correlation signals.
The technical scheme of this application detects the interior fodder surplus condition of feeding container through the vision recognition technology to give the fodder condition in the feeding container and give the stockline replenishing device and realize the automatic start and the stop of fodder replenishment. The problem of the wrong report condition that traditional material volume detection sensor exists is solved, combines loading attachment simultaneously, has reached no longer to rely on the manual work to carry out the fodder and has supplemented, realizes the 24 hours technical effect to the incessant replenishment of fodder.
In an embodiment of the application, a system for controlling feeding of a feeder container is also presented, as shown in fig. 4, which is an interactive schematic illustration of the system.
As shown in fig. 4, the system for controlling the feeding of a feeder container comprises: an image pickup device (corresponding to the camera in fig. 4) and a control processing device (corresponding to the image processor in fig. 4);
the camera equipment is arranged at a preset position near the feeding container and used for acquiring image data of the feeding container in real time;
the control processing device is configured to perform visual recognition detection according to the image data, determine whether the feed in the container is insufficient, and generate and output a first trigger signal (corresponding to the starved information in fig. 4) when the feed is determined to be insufficient.
Further, as a specific embodiment, the control processing device is further configured to,
after the first trigger signal is generated and output, visual identification detection is carried out according to the image data, whether the fodder is sufficient in the container or not is judged, and when the fodder is sufficient, a second trigger signal is generated and output to the feeding device.
Further, as a specific implementation manner, the control processing device is further configured to generate early warning information when the feed is judged to be insufficient, and upload the early warning information to a cloud server.
With regard to the system for controlling the feeding of a feeding container in the above-described embodiments, the specific manner of performing the operations performed by the image capturing device and the control processing device in the system has been described in detail in relation to the embodiments of the method, and will not be described in detail here.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present application, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. A method of visually identifying and controlling feeding of a feeding container, comprising:
collecting image data of a feeding container in real time;
carrying out visual identification detection according to the image data, and judging whether the feed in the container is insufficient;
when judging that the feed is insufficient, generating and outputting a first trigger signal so that a feeding device carries out feeding operation on the feeding container based on the first trigger signal.
2. The method of claim 1, wherein performing a visual recognition test based on the image data to determine whether there is insufficient food in the container comprises:
performing segmentation processing on the image data, and extracting image data of an area outside a container as target image data;
and judging the gray distribution of the target image data based on a preset judgment rule to determine whether the feed in the container is insufficient.
3. The method of claim 2, wherein the visual identification detection is implemented using a third party visual identification technology framework.
4. The method of claim 1, further comprising generating early warning information when the feed is judged to be insufficient, and uploading the early warning information to a cloud server.
5. The method of claim 4, wherein the pre-warning information is uploaded based on a wireless communication.
6. The method of claim 1, after generating and outputting the first trigger signal, further comprising:
carrying out visual identification detection according to the image data, and judging whether the feed in the container is sufficient;
and when the fodder is sufficient, generating and outputting a second trigger signal to the feeding device.
7. The method according to any one of claims 1 to 6, characterized in that the image data is captured in real time by means of a camera device arranged at a preset position near the feeding container.
8. A system for visual identification control of feeding of a feeding container, comprising: an image pickup apparatus and a control processing apparatus;
the camera shooting equipment is arranged at a preset position near the feeding container and used for collecting image data of the feeding container in real time;
the control processing equipment is configured to perform visual recognition detection according to the image data, judge whether the feed in the container is insufficient or not, and generate and output a first trigger signal when the feed is judged to be insufficient.
9. The system of claim 8, wherein the control processing device is further configured to,
after the first trigger signal is generated and output, visual identification detection is carried out according to the image data, whether the fodder is sufficient in the container or not is judged, and when the fodder is sufficient, a second trigger signal is generated and output.
10. The system of claim 8, wherein the control processing device is further configured to generate early warning information and upload the early warning information to a cloud server when the feed is determined to be insufficient.
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| CN111699990A (en) * | 2019-03-18 | 2020-09-25 | 北京海益同展信息科技有限公司 | Feeding device, system, feeding control method and controller |
| CN112616699A (en) * | 2020-12-25 | 2021-04-09 | 石河子大学 | A accurate material and feeding monitored control system that throws for calf is fed |
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- 2022-01-14 CN CN202210039646.5A patent/CN114041429A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105432486A (en) * | 2015-11-03 | 2016-03-30 | 内蒙古农业大学 | Feeding detection system and feeding detection method thereof |
| CN210671656U (en) * | 2019-03-18 | 2020-06-05 | 北京海益同展信息科技有限公司 | Feeding device and system |
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