Artificial intelligence based non-contact breeding pig body temperature abnormity monitoring system

Abstract

The invention relates to the technical field of cultivation and discloses an artificial intelligence based non-contact breeding pig body temperature abnormity monitoring system, which comprises an automatic buttock detection module, a QR-code pig identification module, a non-invasive non-contact infrared temperature measuring module, a body temperature fluctuation recording module and an abnormalbody temperature warning push module. An output end of the automatic buttock detection module is connected with an input end of the QR-code pig identification module, an output end of the QR-code pigidentification module is connected with an input end of the non-invasive non-contact infrared temperature measuring module, and an output end of the non-invasive non-contact infrared temperature measuring module is connected with an input end of the body temperature fluctuation recording module. Since software and hardware are designed in linkage to form a whole system by means of mature techniques such as the artificial intelligence, the deep learning and the computer vision, the system realizes real-time monitoring to body temperature of each breeding pig and then pushes the abnormity data to breeders in time, so that the breeders can isolate the pigs with abnormal body temperature to prevent epidemic spreading, and high real-time performance and high efficiency are both achieved.

Description

technical field [0001] The invention relates to the field of breeding technology, in particular to an artificial intelligence-based non-contact boar body temperature abnormality monitoring system. Background technique [0002] At present, researchers at home and abroad are focusing on wearable devices or invasive devices for smart pig farming. This type of equipment has amazing measurement accuracy, but this type of system can greatly increase the installation cost and is also detrimental to the growth of the animal. There are also risks of loss and damage to these devices. The trend of this topic is to develop non-contact monitoring equipment in combination with the rapid development of artificial energy and machine vision technology. Take the intelligent pig raising system of Xianglibaba and Ruihu Technology as an example. They combine fixed or real-time cameras and artificial intelligence systems to monitor the temperature of domestic pigs, but what they measure is the ...

AI Technical Summary

Problems solved by technology

[0004] At present, breakthroughs have been made in pig farm knowledge models, pattern recognition, knowledge representation, and machine learning of business models, but some models and algorithms are not enough to reflect the objective reality, so that they cannot meet the actual needs of guiding pig farms for precise production