Research and Application of Machine Vision Based on Beef Carcass Rating Photography Equipment and System

Beef, as the pride of meat, is one of the main meat products consumed by the Chinese people. With the continuous rise of national consumption level, people's demand for the quality of beef is also increasing. Due to the late start of China's beef industry, which is mainly composed of regular beef, it is not conducive to building a high-end beef market<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[3]</sup>. In order to improve the efficiency and accuracy of beef carcass detection process and enhance market competitiveness, this paper designs a machine vision based image acquisition device for beef carcass rating. The image is collected under opaque conditions, and the collected image is based on the basic principle of RGB-HSV color model. The RBG value of the measured sample is converted into HSV value for data processing. Then, the data is observed for any patterns and linear equations are summarized. There are significant differences in the analysis of RGB-HSV color models for beef of different grades, thus completing the grading detection of beef.