Abnormal pig recognition device, system and method based on image and audio mixing

Abstract

The embodiment of the invention provides an abnormal pig recognition device, system and method based on image and audio mixing, and the method comprises the steps of obtaining a group image set and group sound data of pigs in a group raising fence, and recognizing whether each pig is an abnormal pig or not through a recognition model in a recognition module according to the group image set and thegroup sound data, wherein the recognition model comprises a fusion processing sub-model, and the fusion processing sub-model outputs a recognition result of whether any pig is an abnormal pig or notaccording to the sign change information and the individual sound data of any pig determined through the group image set and the group sound data. Through combination of the image and the sound, the accuracy of abnormal pig identification is improved, and the reliability of a detection result is high. Meanwhile, manual detection is not needed, the detection efficiency of abnormal pigs is improved,effective epidemic prevention and control are facilitated, and losses are reduced.

Description

technical field [0001] The present invention relates to the technical field of machine learning, in particular to a device, system and method for identifying abnormal pigs based on image and audio mixing. Background technique [0002] Whether the pigs are healthy or not has a serious impact on the growth and littering of the pigs, resulting in economic losses. Early detection and early treatment are important means of epidemic prevention and control. In the existing method, each pig is usually tested manually or manually observed, and abnormal pigs are screened out from group breeding pens. Further tests are carried out on these abnormal pigs, so as to prevent and control possible infectious diseases through detection, or treat the problems of pigs as early as possible to reduce losses. [0003] It can be seen that the existing method uses manual detection to prevent and control the epidemic in pigs to reduce losses, the efficiency of manual detection is low, and the relia...

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention provides a device, system and method for identifying abnormal pigs based on the mixture of images and audio, which is used to solve the existing method of preventing and controlling the epidemic of pigs through manual detection to reduce losses, and the efficiency of manual detection is low. And the problem of low reliability of test results

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