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Pig half-carcass intelligent segmentation method

A carcass and intelligent technology, applied in the field of intelligent segmentation of pig half carcasses, can solve problems such as residual pork belly, and achieve the effects of increasing segmentation output, improving segmentation efficiency and reducing segmentation costs.

Active Publication Date: 2022-04-15
NANJING AGRICULTURAL UNIVERSITY
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  • Application Information

AI Technical Summary

Problems solved by technology

In the traditional three-section segmentation, on the one hand, an additional dividing line still needs to be arranged in the middle section to complete the segmentation; on the other hand, some pork belly often remains in the front and back sections

Method used

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  • Pig half-carcass intelligent segmentation method

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Embodiment 1

[0032] Such as figure 1 The flow diagram of the pig half-carcass intelligent segmentation method shown mainly includes two parts: measuring and establishing a size relationship function and automatic intelligent segmentation. The whole includes the following steps:

[0033] A. Carcasses of the same species are graded by length and quality;

[0034] B. Measure and calculate the size ratio relationship between various parts of the carcass;

[0035] C, enlarge the sample size and repeat steps A and B to obtain the size relationship function of each part of the carcass of each grade of the same variety,

[0036] D, repeat step A to step C, obtain the size relationship function of each grade carcass of each variety;

[0037] E. Obtain carcass quality information during carcass transportation through track scales;

[0038] F. After the carcass is fixed, obtain the carcass outline size information through camera shooting or infrared scanning, and extract the carcass length and wid...

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Abstract

The invention discloses a pig half-carcass intelligent segmentation method. The intelligent segmentation method comprises the following steps: A, acquiring carcass quality and carcass overall dimension information; b, extracting the length and the width of the carcass from the carcass overall dimension information, and grading the carcass according to the variety, the quality and the length; c, calculating the detailed size of the carcass by combining the length and width of the carcass with the size relation function of each part of the carcass of the same grade; d, planning a streaky pork contour cutting path, a streaky pork segmentation path, a rib row segmentation path, a front segment segmentation path and a spine segmentation path according to the detailed size of the carcass; e, the cutting path is input into a cutting robot, and carcass segmentation is sequentially executed according to the sequence of streaky pork contour cutting, streaky pork segmentation, rib row segmentation, front segment segmentation and spine segmentation. According to the method, a corresponding cutting path is planned for each half carcass, so that the cutting precision is improved; the cutting process of preferentially cutting the streaky pork increases the cutting yield of the streaky pork, is beneficial to improving the production efficiency and reduces the cutting cost.

Description

technical field [0001] The invention belongs to the technical field of food processing, in particular to an intelligent segmentation method for half-carcass of pigs. Background technique [0002] After the pig is slaughtered, the half carcass is obtained after removing the head, hoof, viscera and splitting in half. For better processing of pork, the pig halves need to be further divided. In the prior art, a combination of automatic segmentation and manual segmentation is generally used. Manual segmentation of pig carcasses is inefficient and difficult to guarantee quality. At the same time, the work intensity is high, the environment is harsh, and labor costs are increasing year by year. Therefore, some research focuses on the development of pig carcass intelligent segmentation equipment to improve production efficiency and reduce production costs. [0003] In the existing technology of carcass intelligent segmentation, the machine learning-based pig carcass segmentation ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A22B5/00
CPCY02P90/30
Inventor 李春保高廷轩陈玉仑邹厚勇糜长雨张淼赵迪周光宏
Owner NANJING AGRICULTURAL UNIVERSITY