Pig weight estimation method, system and device and storage medium

A weight and estimated value technology, applied in the field of image recognition, can solve the problems of poor accuracy and labor-intensive, and achieve the effect of improving efficiency

Pending Publication Date: 2021-06-18
深圳喜为智慧科技有限公司
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AI Technical Summary

Problems solved by technology

In the prior art, the body weight of pigs is mainly estimated by manual measurement such as electronic scales. This method requires a lot of labor. To solve this problem, there are also methods of indirectly estimating body weight through images through computer vision technology. The method basically uses two-dimensional pig pictures to estimate the weight of the pig. The initial estimation process is: the pixel area of ​​the pig -> the physical area -> the estimation of the physical weight, but this estimation is only estimated by the two-dimensional area Pig weight, less accurate estimate

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  • Pig weight estimation method, system and device and storage medium
  • Pig weight estimation method, system and device and storage medium
  • Pig weight estimation method, system and device and storage medium

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Embodiment Construction

[0033] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0034] figure 1 It is a flow chart of a pig body weight estimation method provided by the embodiment of the present invention.

[0035] Such as figure 1 As shown, the method includes:

[0036] 110. Obtain the two-dimensional picture of the pig collected by the camera.

[0037] Specifically, a pig image acquisition system can be built, and the pigs in the pigsty can be photographed through the overhead camera. The actual overhead image of the pig is as follows: figure 2 shown.

[0038] 120. According to the parameters of the camera, the breed of the pig and the two-dimensional picture, input a pre-trained neural network model to obtain an estimated value of the pig's weight.

[0039] Specifically, the training ...

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Abstract

The invention relates to a pig weight estimation method, system and device and a storage medium. The method comprises the steps of constructing a pig model through three-dimensional simulation, and then constructing a large number of two-dimensional projection pictures and three-dimensional pig weight data in a projection mode so as to train a deep learning model; acquiring a two-dimensional picture of the pig acquired by the camera; and inputting a pre-trained neural network model according to the parameters of the camera, the variety of the pig and the two-dimensional picture to obtain an estimated value of the weight of the pig. According to the pig weight estimation method provided by the embodiment of the invention, the estimated value of the pig weight can be accurately obtained through the two-dimensional picture of the pig by adopting a machine learning method under the condition of different pig varieties and camera parameters, and the efficiency of pig breeding is improved.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to a pig weight estimation method, system, equipment and storage medium. Background technique [0002] In the field of pig breeding, in order to better grasp the growth of pigs, such as changes in body weight, it is necessary to regularly monitor the weight of pigs. In the prior art, the weight estimation of pigs is mainly through manual measurement such as electronic scales. This method requires a lot of labor. To solve this problem, there are also methods of indirectly estimating the weight of pigs through images through computer vision technology. The method basically uses a two-dimensional picture of a pig to estimate the weight of the pig. The initial estimation process is: the pixel area of ​​the pig -> the physical area -> the estimation of the physical weight, but this estimation is only estimated by the two-dimensional area The weight of pigs is estimated with poor a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/08G06T17/00
CPCG06N3/08G06T17/00G06V20/20
Inventor 柯海滨
Owner 深圳喜为智慧科技有限公司
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