Pig identity recognition system

A technology of identification and identification, which is applied in the field of pig identification system based on pig face depth image, can solve the problems of inapplicability, taking pictures of the whole pig face, etc., and achieve the effect of improving accuracy, improving efficiency, and quickly identifying

Inactive Publication Date: 2019-09-10
CHINA AGRI UNIV
View PDF4 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, pigs are different from humans, they will not actively cooperate with the image collection during the recognition process, and the fattening pigs grow rapidly, the model established before may not be applicable as the pigs grow; pig faces are also different from human faces, human faces, eyes, noses The mouth and mo

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Pig identity recognition system
  • Pig identity recognition system
  • Pig identity recognition system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0017] Such as figure 1 , 2 As shown, the pig identity recognition system provided by the present invention includes: an identity entry module, a depth image acquisition module, an image preprocessing module, a feature extraction module, and a feature matching recognition module. The identification process is divided into the model training process and the pig identification process: the model training process is completed by the identity entry module, which is used to enter the identity information of each pig, and establishes a feature database based on the entered basic information; the pig identification process is determined by the depth The image acquisition module, image preprocessing module, feature extraction module and feature matching identification module are completed to identify the identity of the pig. The depth image acquisition modu...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a pig identity recognition system which comprises an identity input module, a depth image acquisition module, an image preprocessing module, a feature extraction module and afeature matching recognition module. The identity input module is used for inputting pig face basic information of each pig and establishing a feature database according to the input basic information; the depth image acquisition module is used for continuously acquiring to-be-identified pig face depth image data; the image preprocessing module is used for carrying out image smoothing and filtering processing on the acquired pig face depth image data and intercepting a face area depth image; the feature extraction module is used for performing feature extraction on the intercepted face regiondepth image to obtain face features of the to-be-identified pig; and the image recognition module is used for matching and comparing the extracted facial features with the sample feature data in the feature database to obtain matching similarity and outputting a matching result. The method can be widely applied to the field of pig identity recognition.

Description

technical field [0001] The invention relates to the field of image recognition and software systems, in particular to a pig identity recognition system based on a depth image of a pig face. Background technique [0002] With the development of refined farming, it is more and more important to identify the identity of pigs. It is conducive to the control of epidemic diseases, improving the management level of farms, and it is also convenient for the country to supervise the safety of pork products. At present, the identification of pigs is mainly carried out by giving each pig a different electronic ear tag, and then reading the data of the electronic ear tag according to the RFID card reader to identify the identity of the pig. However, the process of putting electronic ear tags on pigs will inevitably cause stress to the pigs, which violates the requirements of animal welfare, and the electronic ear tags are also easily damaged by other pigs, and the RFID card reader signal...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/00
CPCG06V40/10
Inventor 滕光辉张建龙余炅桦
Owner CHINA AGRI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap