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.