Live pig slaughtering line carcass quality grading and monitoring method and system based on cloud service
A carcass quality and pig carcass technology, which is applied in character and pattern recognition, instruments, electronic digital data processing, etc., can solve the problems that restrict the modernization and intelligent development of enterprises, slow detection speed, inaccurate results, etc., and improve work efficiency Compared with the level of automation, reducing labor costs and eliminating errors
Pending Publication Date: 2021-06-04
CHINA AGRI UNIV +1
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Problems solved by technology
This manual measurement method has human error, and the evaluation standard is single, the detection speed is slow, and the result is inaccurate
For large enterprises with a daily slaughtering volume of more than 10,000, a large amount of manpower is required to measure readings and manual input every day, which undoubtedly restricts the modernization and intelligent development of the enterprise.
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[0045] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0046] Carcass refers to the body part after slaughter and bloodletting to remove hair, viscera, head, tail and limbs (below the wrist and joints). Backfat refers to the fat under the skin on the back of a pig. Backfat thickness refers to the backfat thickness between the sixth rib and the seventh rib parallel to the front and lower part of the s...
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The invention provides a live pig slaughtering line carcass quality grading and monitoring method and system based on cloud service, and the method comprises the steps: obtaining the image information, weight information and backfat thickness information of a to-be-evaluated pig carcass; inputting the image information into a sensory recognition model, and determining a degradation mark of the to-be-evaluated pig carcass; determining a to-be-evaluated pig carcass grade based on the weight information, the backfat thickness information and the degradation mark; wherein the sensory recognition model is obtained by training sample pig carcass image information. On the live pig slaughtering line, quality grading can be effectively and automatically conducted on the pig carcasses, the working efficiency and the automation level of carcass grading of the live pig slaughtering line are improved, the labor cost is reduced, and errors caused by subjective factors of grading workers are eliminated.
Description
technical field [0001] The invention relates to the technical field of quality detection of a livestock meat slaughtering production line, in particular to a method and system for carcass quality grading and monitoring of a pig slaughtering line based on cloud services. Background technique [0002] The carcass of the pig slaughtering line refers to the body part after slaughtering and bleeding, after removing the hair, viscera, head, tail and limbs. The quality of the carcass determines the quality of the pig’s meat. Accurate evaluation of the carcass grade will help the division of pork grades, high quality and high price . The carcass grade of the pig slaughtering line is mainly based on the comprehensive evaluation of sensory evaluation, carcass backfat thickness and carcass quality. [0003] At present, slaughtering enterprises at home and abroad mainly use manual measurement to detect carcass grades, that is, workers use a graduated steel ruler to measure the backfat ...
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Patent Timeline
Login to View More IPC IPC(8): G06K9/62G06F16/2457G06Q50/02G01D21/02
CPCG06F16/2457G06Q50/02G01D21/02G06F18/24G06F18/214
Inventor 彭彦昆赵鑫龙李永玉郭庆辉
Owner CHINA AGRI UNIV