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A livestock quantity statistics system and method for the animal husbandry

A statistical system and statistical method technology, which is applied in the field of livestock and poultry quantity statistical system to achieve the effects of flexible deployment, high statistical accuracy and wide application range

Inactive Publication Date: 2019-02-22
HUNAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above problems, the present invention provides a system and method for counting the number of poultry and livestock used in animal husbandry. The present invention adopts a fully automated method, which does not require manual intervention, and can prevent errors and omissions in manual counting methods and statistical inaccuracies. Timely situation, and greatly save labor costs; do not need electronic tags, can prevent the stress response caused by label fixing and label reading and writing to poultry and livestock, and will not interfere with the normal growth of poultry and livestock; in addition, in poultry (livestock ) houses only need to deploy a very small number of said mobile devices, and when conditions are suitable, multiple poultry (livestock) houses can share one said mobile device. Lower cost and easier to manage and maintain

Method used

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  • A livestock quantity statistics system and method for the animal husbandry
  • A livestock quantity statistics system and method for the animal husbandry
  • A livestock quantity statistics system and method for the animal husbandry

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] Such as figure 2 As shown, the method of this embodiment may include:

[0041] Step 101: Mobile acquisition of image and video information of the pen to be processed and the poultry in the pen.

[0042] In this embodiment, the mobile device acquires image or video information including the stall and the poultry in the stall by moving or staying on a fixed route (track). Taking the pig factory as an example, the acquired images or videos are similar to figure 1 shown. Those skilled in the art can use any means to realize the controlled movement and stay of the mobile device on a fixed route, such as T-shaped rails, racks, mechanical arms, etc., which will not be repeated here. Acquiring the image and video information can be achieved by using any camera with suitable parameters and environmental adaptability. The imaging range of the camera traveling on a fixed route should have the ability to collect one or more field images and video information at a time. The mob...

Embodiment 2

[0065] Such as image 3 As shown, the method of this embodiment may include:

[0066] Step 201: Mobile acquisition of image and video information of the pen to be processed and the poultry in the pen.

[0067] The execution process of step 201 is similar to the execution process of step 101 and will not be repeated here.

[0068] Step 202: Optimizing image frames with low mutual overlap and occlusion among poultry individuals in the image and video information by using a shallower convolutional neural network for subsequent processing; convolutional neural network is an end-to-end End-to-end automatic learning technology, without manual feature extraction. At present, it is believed that the convolutional neural network is significantly better than artificial HOG, HAAR-Like and other features in feature extraction, and can extract high-level semantic features. Therefore, image frames with low mutual overlap and occlusion among poultry individuals can be selected from the im...

Embodiment 3

[0076] Such as Figure 4 As shown, the method of this embodiment may include:

[0077] Step 301: Mobile acquisition of image and video information of the pen to be processed and the poultry in the pen.

[0078] The execution process of step 301 is similar to the execution process of step 101 and will not be repeated here.

[0079] Step 302: In the image and video information, preferably the image frames with lower mutual overlap and occlusion among poultry individuals are used for subsequent processing;

[0080] The execution process of step 302 is similar to the execution process of step 102 or step 202, and will not be repeated here.

[0081] Step 303: Calculate and output the position coordinates of the area (window) of the field in the image through the physical position and parameters of the camera, the physical position of the field relative to the camera, and the field size, etc., and output, and implement traditional target detection processing on the preferred frame...

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Abstract

The invention discloses a livestock quantity statistics system and method for the livestock industry. The livestock quantity statistics system includes an image acquisition device and an image processing device. The image acquisition device moves or stays along a set route. The image acquisition device is used for collecting images and / or video information of livestock and livestock. The image processing device is used for processing the livestock field and the image and / or video information of the livestock to obtain the number of livestock corresponding to the livestock field. The inventionadopts a fully automatic method, which can prevent mistakes and leakages of manual statistical mode and the situation that the statistics are not timely, and greatly saves human cost, and can preventstress reaction of livestock caused by label fixation and label reading and writing, and does not interfere with the normal growth of livestock; Only a very small number of the mobile devices need tobe deployed in the poultry (livestock) house, and multiple poultry (livestock) houses can share one of the mobile devices when conditions are suitable, so that the cost is lower and the maintenance iseasier to manage.

Description

technical field [0001] The invention belongs to the field of animal husbandry, and in particular relates to a system and method for counting the number of poultry and livestock used in animal husbandry. Background technique [0002] With the development of image and video processing technology, target detection and recognition technology has been developed rapidly, and the recognition accuracy and counting precision have been continuously improved. In recent years, with the development of deep learning, object detection and recognition methods based on deep convolutional neural networks have received extensive attention and in-depth research. The accuracy of detection and recognition has been continuously improved, and it has the potential to be applied to the production environment. [0003] Counting the number of poultry and livestock is the daily basic work of large-scale breeding enterprises and breeding factories. However, in order to meet the requirements of large-sca...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06T7/00
CPCG06T7/0002G06T2207/30242G06T2207/10016G06V20/46G06V20/41G06V2201/07
Inventor 李蕊尚浩唐涛彭馨慧汪继龙方方陆天承周成卓张诗领王雨恒
Owner HUNAN UNIV
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