Sow side-lying posture real-time detection system based on joint partitioning of sow key parts and environment

Abstract

The invention discloses a sow side-lying posture real-time detection system based on joint partitioning of sow key parts and environment, and the system comprises a delivery room, a camera, a video storage unit, and a server, and the delivery room is used for placing a to-be-delivered sow; the camera monitors and obtains video data of a delivery room, continuously stores the video data to the video storage unit on one hand, and is directly connected with the server on the other hand; the server calls the backup video data and analyzes the monitoring data in real time; the working steps of thedetection system are as follows: monitoring the postures of the sows in real time, simultaneously detecting three areas of an approval area, a lactation area and a delivery area through a convolutional neural network area identification model, identifying the sows as lying postures when more than two areas are simultaneously detected, and outputting an identification result to a database. Comparedwith a method for recognizing the posture of the sow through a sensor technology, the computer vision technology avoids contact with the sow, stress response is reduced, and the method has the advantages of being low in cost and high in efficiency.

Description

technical field [0001] This patent involves technical fields such as computer vision, animal welfare breeding, and deep convolutional neural network algorithms. Specifically, it is a real-time detection system for the sow's lateral posture based on the joint partition of the key parts of the sow and the environment. Background technique [0002] my country is the world's largest pig raising country and pork consumer country, and the pig raising industry is the pillar industry of my country's agriculture. The survival rate of piglets is an extremely important indicator in the pig breeding industry, and is closely related to the maternal behavior of sows during the perinatal period. Sows usually give birth and breastfeed when they lie on their sides, and the proportion of time lying on their sides is a key factor affecting the maternal behavior of sows. [0003] Sows usually keep their side lying position during and after parturition, which is beneficial to parturition and l...

AI Technical Summary

Problems solved by technology

However, when the convolutional neural network is used for sow posture recognition, it mainly marks the whole sow target as the feature extraction area, and does not pay attention to the key areas of the sow body and the farrowing pen, resulting in the loss of image data information and the unity of research. , The recognition effect is not ideal when the body part of the sow is blocked

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