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
CN109376584AInactive Publication Date: 2019-02-22HUNAN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
HUNAN UNIV
Publication Date
2019-02-22
Estimated Expiration
Not applicable · inactive patent

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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.
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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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