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Dairy cow individual identification system based on deep learning and identification method thereof

A technology of deep learning and recognition system, which is applied in the fields of biometric recognition, character and pattern recognition, optical device exploration, etc., can solve the problems of poor recognition effect of cows, achieve the goal of improving recognition effect, overcoming recognition limitations, and high accuracy Effect

Active Publication Date: 2020-06-16
INNER MONGOLIA UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the existing technical problems of poor cow recognition effect and limitations, the present invention provides a cow individual recognition system and its recognition method based on deep learning

Method used

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  • Dairy cow individual identification system based on deep learning and identification method thereof
  • Dairy cow individual identification system based on deep learning and identification method thereof
  • Dairy cow individual identification system based on deep learning and identification method thereof

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Embodiment 1

[0036] see figure 1 , this embodiment provides a cow individual recognition system based on deep learning, the system recognizes individual cows by facial features of cows. Because the cow's face has rich skin texture information and distinctive facial information, the facial image is considered to be one of the main biological characteristics for individual cow identification. The basic characteristics of facial features include universality and particularity, and the set of facial features (such as pixel intensity) can be used as facial features for identifying cows. The facial hair of the cow is short, which reduces the difficulty for the system to recognize the face of the cow, thereby ensuring the accuracy of recognition. Wherein, the dairy cow individual recognition system includes an image acquisition mechanism, a face detection mechanism, an image preprocessing mechanism and a training recognition mechanism. The image acquisition mechanism is used to collect the imag...

Embodiment 2

[0047] This embodiment provides a cow individual recognition system based on deep learning, which adds some structure to the image acquisition mechanism on the basis of Embodiment 1. Wherein, the image acquisition mechanism also includes a height detection device and a lifting component. The height detection device includes a distance measuring sensor and a height calculation module. The ranging sensor is installed on the top of the traveling channel, and is used to detect the distance L between it and the cow to be identified, and can preferably detect the distance from the head of the cow to be identified. The height calculation module is used to calculate the height H of the cow to be identified (in fact, this value can be selected as the head height of the cow to be identified), and the calculation formula is:

[0048] H=D-L

[0049] In the formula, D is the distance between the ranging sensor and the bottom of the traveling channel.

[0050] The lifting assembly includ...

Embodiment 3

[0053] This embodiment provides a method for individual cow identification based on deep learning, which is applied to the individual cow identification system based on deep learning provided in Embodiment 1 or Embodiment 2. Wherein, the cow individual identification method includes the following steps.

[0054] (1) Determine whether the cow to be identified triggers the infrared trigger device. Among them, here, by emitting infrared rays to the front hoof of the cow to be identified, a trigger signal will be generated when the cow's front hoof blocks the light, so as to complete the judgment.

[0055] (2) When the cow to be identified triggers the infrared trigger device, the face of the cow to be identified is photographed to obtain a real-time image. In this step, the face of the cow can be photographed by the camera, and the image can be collected through the technology of collecting dynamic pictures, and the face of the cow can be clearly presented in the detection area ...

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Abstract

The invention discloses a dairy cow individual identification system based on deep learning and an identification method thereof. The system comprises an image acquisition mechanism, a face detectionmechanism, an image preprocessing mechanism and a training identification mechanism. The image acquisition mechanism is used for acquiring image information of a cow to be identified and comprises aninfrared trigger device and a plurality of cameras. The face detection mechanism is used for detecting the image information to obtain a face image of the to-be-recognized dairy cow and comprises a sample classification module and a scanning recognition module. The image preprocessing mechanism is used for preprocessing a face image and comprises a graying module, a compensation module, a filtering module and a segmentation module. The training recognition mechanism is used for training and recognizing the processed images to analyze the specific identity information of the dairy cow to be recognized, and comprises an image normalization module, a convolutional neural network module, a training module and a recognition module. According to the invention, the accuracy and recognition effectof cow recognition are improved, and an omnibearing and high-precision data recognition system is provided.

Description

technical field [0001] The present invention relates to an identification system in the technical field of cow identification, in particular to an individual identification system for individual cows based on deep learning, and also to an individual identification method for individual cows based on deep learning of the system. Background technique [0002] Inner Mongolia has unique geographical conditions and policies that make the dairy industry in Inner Mongolia flourish. The number of dairy cows raised and the share of dairy products in Inner Mongolia rank among the top in the country, and dairy farming has become an important economic pillar industry. At the same time, the development of the dairy farming industry has also driven the development of the agricultural insurance market. Insuring cows has become more common in recent years. Currently, insuring cows requires wearing or implanting an RFID chip approved by the World Animal Code Council as the cow's ID card. ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06K9/62G06N3/04G01V8/10G01B21/08
CPCG01V8/10G01B21/08G06V40/10G06V10/26G06N3/045G06F18/241G06F18/214
Inventor 翁智韩丁范龙臻魏中岳孟繁盛贺杰赵鹏董泽温卜
Owner INNER MONGOLIA UNIVERSITY
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