CN112070791A - Method and system for improving accuracy and efficiency of animal husbandry individual points - Google Patents
Method and system for improving accuracy and efficiency of animal husbandry individual points Download PDFInfo
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- CN112070791A CN112070791A CN202010992942.8A CN202010992942A CN112070791A CN 112070791 A CN112070791 A CN 112070791A CN 202010992942 A CN202010992942 A CN 202010992942A CN 112070791 A CN112070791 A CN 112070791A
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- 238000000034 method Methods 0.000 title claims abstract description 16
- 241001465754 Metazoa Species 0.000 title claims description 28
- 244000144972 livestock Species 0.000 claims abstract description 69
- 238000012544 monitoring process Methods 0.000 claims abstract description 33
- 238000010586 diagram Methods 0.000 claims abstract description 28
- 238000007781 pre-processing Methods 0.000 claims abstract description 11
- 238000012545 processing Methods 0.000 claims description 28
- 230000005540 biological transmission Effects 0.000 claims description 21
- 239000003086 colorant Substances 0.000 claims description 7
- 238000012552 review Methods 0.000 claims description 4
- 230000000694 effects Effects 0.000 claims description 3
- 239000000284 extract Substances 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 description 5
- 238000009395 breeding Methods 0.000 description 2
- 230000001488 breeding effect Effects 0.000 description 2
- 238000003706 image smoothing Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000005541 medical transmission Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
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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
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
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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
Abstract
The invention discloses a method and a system for improving the accuracy and efficiency of the number of stockbreeding individuals, which specifically comprise the following steps: extracting images from the livestock monitoring video, preprocessing the images, estimating to obtain a livestock thermodynamic diagram, and deducing to obtain the uniformity of livestock distribution according to the livestock thermodynamic diagram; if the uniformity degree corresponding to the image does not reach the set threshold value and does not exceed the set time, repeating the previous step, if the uniformity degree corresponding to the image reaches the set threshold value or exceeds the set time, selecting the image closest to the set threshold value, and counting the selected images by adopting a high-precision AI algorithm. The invention uses AI points to replace manual work, improves the checking efficiency, selects images with even distribution of livestock when AI points are carried out, and avoids the problem that the accuracy of the algorithm is seriously influenced because crowded stacking conditions frequently occur when livestock are gathered.
Description
Technical Field
The invention relates to the technical field of intelligent breeding, in particular to a method and a system for improving the accuracy and efficiency of the number of livestock individuals.
Background
In the animal husbandry breeding scenario, inventorying the stock numbers is an essential operation. In large-scale cultivation, the manual counting efficiency is low, and errors often occur, so that AI counting equipment is popularized in many farms to replace manual work. The AI points are generally acquired images and counted by detecting the individual in the images through an algorithm. In actual use, however, it is often found that the livestock are gathered and stacked in a crowded way, and the accuracy of the algorithm is seriously affected in the crowded way.
Disclosure of Invention
The invention provides a method and a system for improving the accuracy and the efficiency of the number of livestock individuals, and solves the problem that the accuracy of an algorithm is seriously influenced under the condition that crowding and stacking frequently occur when livestock gather in the prior art.
The technical scheme of the invention is realized as follows:
a method for improving the accuracy and efficiency of the number of livestock individuals specifically comprises the following steps:
s1, extracting images from the livestock monitoring video, preprocessing the images, estimating to obtain a livestock thermodynamic diagram, and deducing to obtain the uniformity of livestock distribution according to the livestock thermodynamic diagram;
s2, if the uniformity corresponding to the image does not reach the set threshold and does not exceed the set time, repeating the step S1, if the uniformity corresponding to the image reaches the set threshold, selecting the image to execute the step S3, if the uniformity corresponding to the image exceeds the set time, selecting the image closest to the set threshold to execute the step S3;
and S3, counting the selected images by adopting a high-precision AI algorithm.
As a preferred embodiment of the present invention, the step S1 of preprocessing the image and then estimating the animal thermodynamic diagram specifically includes dividing the image into a plurality of regions, counting the number of animals in each region, and filling the image regions with colors corresponding to the number of animals to generate the animal thermodynamic diagram.
As a preferred embodiment of the present invention, the deriving the uniformity of the distribution of the animals according to the thermodynamic diagrams of the animals in step S1 specifically refers to calculating a difference of the number of the animals in each area, and judging the uniformity of the distribution of the animals according to whether the difference reaches a set value or whether the number of the animals in a certain area reaches a set value.
In a preferred embodiment of the present invention, in step S2, the image closest to the set threshold is selected and marked, and a manual review reminder is issued.
A system for improving the accuracy and the efficiency of the number of livestock individuals comprises a livestock monitoring module, an image transmission module and an image processing module, wherein the livestock monitoring module acquires a panoramic monitoring video in the activity range of livestock and sends the panoramic monitoring video to the image transmission module, the image transmission module sends the panoramic monitoring video to the image processing module, the image processing module comprises an image processing host and a display, the image processing host extracts images from the panoramic monitoring video, estimates the images after preprocessing to obtain a livestock thermodynamic diagram, and derives the uniformity of the distribution of the livestock according to the livestock thermodynamic diagram; and if the uniformity degree corresponding to the images reaches a set threshold value or does not reach the set threshold value and exceeds the set time, selecting the images closest to the set threshold value for counting, sending the panoramic monitoring video and the counting result to a display by the image processing host, and displaying the panoramic monitoring video and the counting result by the display.
As a preferred embodiment of the present invention, the panoramic monitoring system further includes a cloud server, the image transmission module and/or the image processing module uploads the panoramic monitoring video to the cloud server, and the image processing module uploads a counting result to the cloud server.
As a preferred embodiment of the present invention, the image transmission module includes a wired transmission circuit and a wireless transmission circuit.
The invention has the beneficial effects that: the AI points are used for replacing the manual work, the checking efficiency is improved, when the AI points are carried out, the images with even distribution of the livestock are selected, and the problem that the accuracy of the algorithm is seriously influenced due to the fact that crowding and stacking of the livestock frequently occur when the livestock are gathered is avoided.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of one embodiment of a method of improving the accuracy and efficiency of the number of stocked individuals according to the present invention;
fig. 2 is a schematic block diagram of an embodiment of the method for improving the accuracy and efficiency of the number of stocked individuals according to the invention;
fig. 3 is a schematic diagram of image extraction in a livestock surveillance video.
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. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "vertical", "upper", "lower", "horizontal", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
In the description of the present invention, it should also be noted that, unless otherwise explicitly specified or limited, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly and may, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
As shown in fig. 1 and 3, the present invention provides a method for improving the accuracy and efficiency of individual points of livestock raising, which specifically comprises the following steps:
s1, extracting images from the livestock monitoring video, preprocessing the images, estimating to obtain a livestock thermodynamic diagram, and deducing to obtain the uniformity of livestock distribution according to the livestock thermodynamic diagram; this step does not require an accurate count of each heat map area, but rather a simpler and faster image recognition algorithm to calculate the approximate distribution of each area.
The step S1 of estimating the animal thermodynamic diagram after preprocessing the image specifically means that the image is subjected to image smoothing and image enhancement processing, the image is divided into a plurality of areas, the animal number of each area is counted, specifically, the areas are subjected to binarization processing, the animal contour of the binarized image is extracted, and the number of each animal contour is counted; and filling colors corresponding to the number of the animals into the image area to generate an animal thermodynamic diagram, wherein if the colors are displayed to be represented by different colors, the red color is used for representing crowdedness, and the green color is used for representing less crowdedness. The step S1 of deriving the uniformity of the distribution of the livestock according to the thermodynamic diagram of the livestock specifically means to calculate the difference of the number of the livestock in each area, and determine the uniformity of the distribution of the livestock according to whether the difference reaches a set value or whether the number of the livestock in a certain area reaches a set value.
S2, if the uniformity corresponding to the image does not reach the set threshold and does not exceed the set time, repeating the step S1, if the uniformity corresponding to the image reaches the set threshold, selecting the image to execute the step S3, if the uniformity corresponding to the image exceeds the set time, selecting the image closest to the set threshold to execute the step S3;
in step S2, the image closest to the set threshold is selected and marked, and a manual review reminder is issued. The accuracy of 100% cannot be guaranteed from the angle of the algorithm, and manual cooperation of the production flow is needed. For example, the algorithm may set a red dot indicator for a less certain result (e.g., the corresponding uniformity of the image does not reach a set threshold), and prompt manual review.
And S3, counting the selected images by adopting a high-precision AI algorithm. In the embodiment of the invention, counting the selected images by adopting the high-precision AI algorithm can specifically refer to counting the sum of the number of livestock in each area, or detecting the number of livestock in the images by adopting the AI point algorithm. In the step, a high-precision AI algorithm is adopted for counting so as to obtain an accurate result; generally, the AI algorithm with higher accuracy has a more complex calculation flow, and requires more calculation resources and time.
The AI intelligent counting has far higher value than the point in the animal husbandry, firstly, the AI intelligent counting can ensure that people and livestock are not contacted, and the disease transmission is avoided; secondly, valuable data of the counting process and the counting result are stored in a targeted mode, and financial statistics are facilitated.
As shown in fig. 2, the invention further provides a system for improving the accuracy and efficiency of the number of livestock individuals, which comprises a livestock monitoring module, an image transmission module and an image processing module, wherein the livestock monitoring module acquires a panoramic monitoring video in the livestock activity range and sends the panoramic monitoring video to the image transmission module, the image transmission module sends the panoramic monitoring video to the image processing module, the image processing module comprises an image processing host and a display, the image processing host extracts an image from the panoramic monitoring video, estimates the image after preprocessing to obtain a livestock thermodynamic diagram, and derives the uniformity of livestock distribution according to the livestock thermodynamic diagram; and if the uniformity degree corresponding to the images reaches a set threshold value or does not reach the set threshold value and exceeds the set time, selecting the images closest to the set threshold value for counting, sending the panoramic monitoring video and the counting result to a display by the image processing host, and displaying the panoramic monitoring video and the counting result by the display.
The method comprises the steps of preprocessing an image to obtain a livestock thermodynamic diagram, specifically, conducting image smoothing and image enhancement processing on the image, dividing the image into a plurality of areas, counting the number of livestock in each area, specifically, conducting binarization processing on the areas, extracting the livestock contour of the binarized image, and counting the number of the livestock contour; counting the number of the animals in each area, namely the number of the animal outlines, filling colors corresponding to the number of the animals in the image area to generate an animal thermodynamic diagram, wherein if the animal thermodynamic diagram is displayed and can be represented by different colors, the red color is more crowded, and the green color is less crowded.
The panoramic monitoring system further comprises a cloud server, the image transmission module and/or the image processing module uploads the panoramic monitoring video to the cloud server, and the image processing module uploads a counting result to the cloud server. The image transmission module comprises a wired transmission circuit and a wireless transmission circuit. The cloud server can be used for storing the panoramic monitoring video, the calculation process of the AI points is carried out at the cloud server or the cloud server and the local area are simultaneously carried out, the calculation efficiency is improved, and the calculation accuracy of the AI points is improved.
The invention uses AI points to replace manual work, improves the checking efficiency, selects images with even distribution of livestock when AI points are carried out, and avoids the problem that the accuracy of the algorithm is seriously influenced because crowded stacking conditions frequently occur when livestock are gathered.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (7)
1. A method for improving the accuracy and efficiency of the number of stockbreeding individuals is characterized by comprising the following steps:
s1, extracting images from the livestock monitoring video, preprocessing the images, estimating to obtain a livestock thermodynamic diagram, and deducing to obtain the uniformity of livestock distribution according to the livestock thermodynamic diagram;
s2, if the uniformity corresponding to the image does not reach the set threshold and does not exceed the set time, repeating the step S1, if the uniformity corresponding to the image reaches the set threshold, selecting the image to execute the step S3, if the uniformity corresponding to the image exceeds the set time, selecting the image closest to the set threshold to execute the step S3;
and S3, counting the selected images by adopting a high-precision AI algorithm.
2. The method of claim 1, wherein the step of preprocessing the images and estimating the animal thermodynamic diagram in step S1 includes dividing the images into a plurality of regions, counting the number of animals in each region, and filling the image regions with colors corresponding to the number of animals to generate the animal thermodynamic diagram.
3. The method of claim 2, wherein the deriving of uniformity of distribution of livestock according to the thermodynamic diagram of livestock in step S1 includes calculating a difference between the numbers of livestock in each area, and determining uniformity of distribution of livestock according to whether the difference reaches a predetermined value or whether the numbers of livestock in a certain area reach a predetermined value.
4. The method for improving the accuracy and efficiency of the number of stocked individuals according to claim 1, wherein in step S2, the image closest to the set threshold is selected for marking, and a manual review prompt is issued.
5. A system for improving the accuracy and the efficiency of the number of livestock individuals is characterized by comprising a livestock monitoring module, an image transmission module and an image processing module, wherein the livestock monitoring module acquires a panoramic monitoring video in a livestock activity range and sends the panoramic monitoring video to the image transmission module, the image transmission module sends the panoramic monitoring video to the image processing module, the image processing module comprises an image processing host and a display, the image processing host extracts an image from the panoramic monitoring video, estimates the image after preprocessing to obtain a livestock thermodynamic diagram, and derives the uniformity of livestock distribution according to the livestock thermodynamic diagram; and if the uniformity degree corresponding to the images reaches a set threshold value or does not reach the set threshold value and exceeds the set time, selecting the images closest to the set threshold value for counting, sending the panoramic monitoring video and the counting result to a display by the image processing host, and displaying the panoramic monitoring video and the counting result by the display.
6. The system for improving the accuracy and efficiency of the number of livestock individuals according to claim 5, further comprising a cloud server, wherein the image transmission module and/or the image processing module uploads the panoramic surveillance video to the cloud server, and the image processing module uploads a counting result to the cloud server.
7. A system for improving the accuracy and efficiency of the number of stockbreeding individuals according to claim 5 or 6, wherein the image transmission module comprises a wired transmission circuit and a wireless transmission circuit.
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Cited By (1)
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