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Livestock identity-based mobile track monitoring method and system

A technology of moving trajectory and monitoring system, which is applied in the directions of location information-based services, character and pattern recognition, collaborative operation devices, etc., can solve the problem of inability to meet the full management needs of large-scale farms, and the limited richness and real-time nature of collected data. , the inability to collect animal behavior status and other problems, to achieve the effect of simplifying manpower, achieving traceability, and collecting rich data

Active Publication Date: 2018-11-23
成都睿畜电子科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are many problems in the actual use of the feeding station. On the one hand, the purchase cost of the feeding station is high and the area is large. The threshold for using the feeding station has been raised; in addition, due to the technical reason that only one animal can enter the feeding station at a time, the time for collecting animal group breeding data is greatly lengthened. In addition, when the animal is not in the feeding station , the behavior status of animals cannot be collected. It can be seen that the richness and real-time performance of data collected by feeding stations is very limited, so it cannot meet the full management needs of large-scale farms and cannot be promoted on a large scale.

Method used

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  • Livestock identity-based mobile track monitoring method and system
  • Livestock identity-based mobile track monitoring method and system
  • Livestock identity-based mobile track monitoring method and system

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0058] Such as figure 1 As shown, the present embodiment provides a method for monitoring the moving trajectory based on the identity of livestock, and the method is applied to a comprehensive processing device, and the method includes the following steps:

[0059] S10: Receive the video image sent by the camera device in the livestock activity space and the tag information sent by the electronic tag reader; the tag information includes the electronic tag number, the time when the electronic tag number is recognized, and the information of the electronic tag reader in one-to-one correspondence Information collection; the electronic tag reader information includes the identity information or geographic location information of the electronic tag reader;

[0060] In this step, the camera device and the electronic tag reader are related equipment pre-set in the livestock activity space; both play the role of collecting data.

[0061] Specifically, the camera device is set to be a...

Embodiment 2

[0076] Such as figure 2 As shown, the difference between this embodiment and Embodiment 1 is that the step S20 of this embodiment includes the following steps:

[0077] S21: Use deep learning technology to identify all individual livestock in each frame of the video image; assign a visual number to each individual livestock in each frame, if the current frame has the same individual livestock as in the previous frame, assign The same visual number of the livestock individual in the current frame as in the previous frame;

[0078] In this step, use deep learning technology to obtain image features, such as using convolutional neural network (CNN) to obtain high-level features of images, available deep learning models such as Fast R-CNN, YOLO, SSD, etc., perform detailed image segmentation , target key point detection and other image recognition processing to identify all individual livestock in each frame of the video image one by one; Identify the livestock targets in 2500 ...

Embodiment 3

[0084] Such as image 3 As shown, the difference between this embodiment and Embodiment 1 is that the step S30 of this embodiment includes the following steps:

[0085] S31: Traverse the track information set according to the time when the electronic tag number in the tag information is recognized and the geographic location information of the electronic tag reader, and obtain the time uniquely related to the time when the electronic tag number in the tag information is recognized The same as the geographic location information of the electronic tag reader and the corresponding individual movement track information; specifically, the time when the electronic tag number is recognized and the geographic location of the electronic tag reader that recognizes the electronic tag number are used as the search basis , searching for the movement track information of individuals with the same geographic location information at the same time in the track information set;

[0086] S32: M...

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Abstract

The invention relates to the technical field of large-scale breeding management, and discloses a livestock identity-based mobile track monitoring method and system. The method comprises the followingsteps of: receiving video images sent by a camera device in a livestock activity space and tag information sent by electronic tag readers, wherein the tag information comprises electronic tag numbers,time of recognizing the electronic tag numbers and information sets in one-to-one correspondence with electronic tag reader information, and the electronic tag reader information comprises identity information and geographic position information of the electronic tag readers; obtaining individual movement track information of each livestock in the video images according to the video images so asto form a track information set; and matching corresponding individual movement track information for the electronic tag numbers according to the tag information and the track information sets. According to the method and system, farm practically marked livestock individual-based movement track monitor can be realized, benefit is brought to reduce the labor cost, no stresses are caused to the livestock in the monitor process, and scientific and individualized breeding management is realized.

Description

technical field [0001] The invention relates to the technical field of large-scale breeding management, in particular to a method and system for monitoring moving tracks based on livestock identities. Background technique [0002] With the improvement of the national economy, the proportion of my country's meat consumption has increased year by year, and animal husbandry has also changed from retail farming to large-scale farming. Large-scale farms have a huge number of livestock. How to effectively identify the number, identity, behavior and location of livestock has become the key to restricting large-scale efficient farming. [0003] Most of the current large-scale farms mainly rely on paper, computers or mobile apps to record the number, identity, behavior and location of livestock, and the information entry process relies on manual records. The way of manually recording information is likely to cause unintentional mistakes and omissions. When the scale is large, the w...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K17/00H04W4/029
CPCH04W4/029G06K17/0022G06V20/42
Inventor 吴海玲张腾飞卫燕峻黄杜立兰嵩
Owner 成都睿畜电子科技有限公司
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