Cattle face recognition data processing method and device

Abstract

The invention provides a cattle face recognition data processing method and device, and the method comprises the steps: obtaining a first cattle face image at a first time point, and carrying out the coordinate processing of the first cattle face image, and obtaining a first pixel point coordinate set; acquiring a second cattle face image at a second time point, and performing coordinate processing on the second cattle face image to obtain a second pixel point coordinate set; performing comparison processing on pixel values of corresponding coordinates in the first pixel point coordinate set and the second pixel point coordinate set to generate a pixel point change number; generating depth comparison information when the change number of the pixel points is greater than a preset change number of the pixel points, and marking the pixel points with changed pixel values as target pixel points in response to the depth comparison information; the target coordinate information of the multiple target pixel points is obtained, the target area is generated according to the multiple pieces of target coordinate information, the target area is sent to the management end, and the diseased organ of the cattle face can be accurately recognized.

Description

technical field [0001] The invention relates to data processing technology, in particular to a method and device for processing cow face recognition data. Background technique [0002] Cow face recognition is to detect and locate each cow, identify individual cows, and supervise the behavior of cows through the recognition of cow faces, and use modern Internet of Things technology to manage pastures to ensure the breeding process of cows and milk. The production process of the product ensures the health and milk production of the cow. [0003] The commonly used method in the prior art is to realize the identification of cattle individuals and the positioning of cattle through the built-in chip of cattle ear tags. The main function is to identify and locate cattle. Manual monitoring requires a lot of manpower and material resources to continuously monitor individual cattle. [0004] Therefore, how to determine the diseased part of a cow through cow face recognition has beco...

AI Technical Summary

Problems solved by technology

[0003] The commonly used method in the prior art is to use the built-in chip of the cattle ear tag to realize the identification of the individual cattle and the positioning of the cattle. The main function is to identify and locate the cattle. Manual monitoring requires a lot of manpower and material resources to continuously monitor individual cattle

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