Livestock carcass quality detection system, method and equipment and computer storage medium

Abstract

The invention discloses a livestock carcass quality detection system, a method and equipment and a computer storage medium The detection system comprises: an acquisition module, which is configured to carry out image acquisition on the livestock carcass; a calculation module which is configured to be used for analyzing and processing the image acquired by the acquisition module so as to acquire quality information of the livestock carcass; an execution module which is configured to perform corresponding operation on the livestock carcass according to the quality information of the livestock carcass acquired by the calculation module; and a control module which is configured to be used for controlling and managing the detection system. According to the detection system disclosed by the invention, an image processing algorithm is applied to a livestock carcass quality detection process, and various deep learning algorithm models are combined to finish refined quality judgment on various types of livestock carcasses, so that the carcass quality control level and the production efficiency of enterprises are improved.

Description

technical field [0001] The present invention relates generally to the field of livestock slaughtering. More specifically, the present invention relates to a detection system, method, detection device and computer-readable storage medium for detection of livestock carcass quality. Background technique [0002] In the process of slaughtering livestock (especially pigs), since the processing of the carcass after slaughter will form a wide variety of products, it is necessary to classify the quality control of the carcass so that the quality of different carcasses can be processed accordingly. At present, the field of quality control of livestock carcasses is still dominated by manual labor, and its degree of automation and intelligence is still low. Based on this, in the quality control link of livestock carcasses, it is necessary to arrange a large number of manual labor to carry out quality control and grading of carcasses, which is a waste of human resources. In addition, ...

AI Technical Summary

Problems solved by technology

At present, the field of quality control of livestock carcasses is still dominated by manual labor, and its degree of automation and intelligence is still low

Based on this, in the quality control of livestock carcasses, it is necessary to arrange a large number of manual labor to carry out quality control and grading of carcasses, which is a waste of human resources

In addition, because manual quality control grading mainly relies on human subjective judgment, the quality control standards are not uniform, and the overall quality and efficiency of carcass quality control are inconsistent, resulting in uneven quality of later products

[0003] Further, although there are a small amount of carcass intelligent grading equipment, they are mainly aimed at poultry carcasses, while there are fewer methods for livestock carcasses, and among these methods, the methods used for grading the quality of livestock carcasses The algorithm model is single, which leads to fewer carcass condition categories that can be judged by one model, and fewer carcass grades in the final assessment

Therefore, for the objectively existing carcasses of various conditions, the existing single classification model cannot comprehensively and accurately evaluate the carcasses, and thus cannot meet people's diverse needs for livestock meat products

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