Full-cycle health detection system for dairy cow based on visual recognition

A full-cycle health detection system for a dairy cow based on visual recognition, comprising:

• electronic chips provided with dairy cow identifiers (IDs), and fixed on dairy cows;
• an online acquisition device configured to acquire an image of a to-be-detected dairy cow online and recognize a dairy cow ID, and transmit an acquired image of the to-be-detected dairy cow and the dairy cow ID to a master control module;
• the master control module provided with an image recognition algorithm and a health determination algorithm, wherein the image recognition algorithm obtains a measured growth cycle of the dairy cow and a weight of the dairy cow according to a received image of the to-be-detected dairy cow;
• wherein the image recognition algorithm comprises a growth cycle recognition algorithm and a weight measurement algorithm;
• and the image of the to-be-detected dairy cow comprises a top view image and a side view image of the to-be-detected dairy cow;
• the growth cycle recognition algorithm obtains the measured growth cycle of the dairy cow according to the top view image of the to-be-detected dairy cow;
• the weight measurement algorithm calculates, according to the side view image, the weight of the dairy cow corresponding to the measured growth cycle;
• wherein a specific process that the growth cycle recognition algorithm obtains the measured growth cycle of the dairy cow according to the top view image of the to-be-detected dairy cow is as follows:
• extracting a cow's back image from the top view image, and extracting cow's back contour data from the cow's back image;
• calculating a measured torso length of the dairy cow according to the cow's back contour data;
• and
• mating the measured torso length of the dairy cow with a standard torso length of the dairy cow, and taking a growth cycle corresponding to a closest standard torso length of the dairy cow to the measured torso length of the dairy cow as the measured growth cycle of the to-be-detected dairy cow;
• wherein calculating the measured torso length of the dairy cow according to the cow's back contour data comprises:
• taking two feature points at a furthest relative distance in the cow's back contour data, the two feature points dividing a cow's back contour into an upper contour line and a lower contour line;
• dividing the upper contour line into n equal parts, correspondingly providing upper endpoints between adjacent ones of the equal parts, dividing the lower contour line into n equal parts, correspondingly providing lower endpoints between adjacent ones of the equal parts, and connecting the upper and lower endpoints to obtain a plurality of equal segments;
• seeking midpoints of all of the equal segments between the two feature points, and sequentially connecting all of the midpoints from a first feature point to a second feature point to obtain a torso fold line of the dairy cow;
• and
• taking a length for the torso fold line of the dairy cow as the torso length of the dairy cow;
• wherein a specific process that the weight measurement algorithm calculates, according to the side view image, the weight of the dairy cow corresponding to the measured growth cycle is as follows:
• acquiring a mass density corresponding to each of growth cycles of the dairy cow, and photographing and weighing the dairy cow in the growth cycle to obtain a plurality of side view images of the dairy cow containing weight information;
• pre-processing each of the side view images of the dairy cow to obtain a monochrome image;
• segmenting the monochrome image based on a threshold segmentation algorithm to obtain connected domains, and calculating an area for all of the connected domains to obtain a side view area of the dairy cow;
• and calculating the mass density=the weight/the side view area;
• and
• pre-processing the side view image to obtain a side view area of the dairy cow, and taking a product of the side view area and a mass density corresponding to the measured growth cycle as the weight of the dairy cow;
• the health determination algorithm calls corresponding full-cycle growth information of the dairy cow in a storage module according to the dairy cow ID, determines a health state of the dairy cow, and updates the full-cycle growth information of the dairy cow;
• and
• the storage module configured to store full-cycle growth information of dairy cows corresponding to all of the dairy cow IDs and standard full-cycle growth information of the dairy cows.