Monoglyceride quality detection method and system based on machine vision
A machine vision and monoglyceride technology, applied in the field of artificial intelligence, can solve the problems of low detection efficiency, environmental pollution of chemical experiments, and long experiment time, so as to improve accuracy and reliability, improve intelligence, and improve monoglyceride. Effect of Ester Quality Detection Efficiency
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Embodiment 1
[0035] Please refer to the attached figure 1 , an embodiment of the present invention provides a machine vision-based monoglyceride quality detection method, wherein the method is applied to a machine vision-based monoglyceride quality detection system, and the method specifically includes the following steps:
[0036] Step S100: Obtain a first set of process parameters, wherein the first set of process parameters are production process parameters of monoglyceride products;
[0037] Specifically, the machine vision-based monoglyceride quality detection method is applied to the machine vision-based monoglyceride quality detection system, which can extract the color characteristics of monoglycerides made by different production processes, Establish the corresponding relationship between production process parameters and color feature information, and then classify monoglycerides, and conduct chromatographic analysis on all types of monoglycerides, and finally based on the chroma...
Embodiment 2
[0097] Based on the same inventive concept as the machine vision-based monoglyceride quality detection method in the foregoing embodiment, the present invention also provides a machine vision-based monoglyceride quality detection system, please refer to the attached Figure 5 , the system includes:
[0098] A first obtaining unit 11, the first obtaining unit 11 is used to obtain a first process parameter set, wherein the first process parameter set is a production process parameter of a monoglyceride product;
[0099] The second obtaining unit 12, the second obtaining unit 12 is used to extract the color feature of the monoglyceride product, and obtain the first color feature information;
[0100] A third obtaining unit 13, the third obtaining unit 13 is configured to perform cluster analysis on the monoglyceride product based on the first process parameter set and the first color feature information, to obtain a first classification result;
[0101] A fourth obtaining unit 1...
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