An industrial vision-based donkey-hide gelatin production process identification method and system

By monitoring and correcting the color shift of the lighting light in real time during the production of donkey-hide gelatin, and by using reference targets and spatial distribution maps, the problem of decreased identification accuracy caused by steam condensation in the production of donkey-hide gelatin was solved, and efficient and standardized identification of donkey hide quality grading was achieved.

CN122306793APending Publication Date: 2026-06-30SHANDONG DONGE JIXIANG DONKEY HIDE GELATIN PROD CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANDONG DONGE JIXIANG DONKEY HIDE GELATIN PROD CO LTD
Filing Date
2026-03-16
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

During the production of donkey-hide gelatin, the condensation of steam on the protective cover of the light source causes a shift in the color composition of the illumination light, affecting the accuracy of the industrial vision system in recognizing subtle color differences on the surface of donkey hide.

Method used

By acquiring the reference color information of the target under standard lighting conditions, real-time image data is collected and compared, the offset of the lighting color composition is calculated, and color correction is performed based on the offset. Combined with the spatial distribution map and the characteristic information of donkey hide, multi-stage adjustments are made to achieve dynamic and accurate color correction.

Benefits of technology

It effectively solves the problem of decreased recognition accuracy caused by changes in lighting conditions, improves the recognition accuracy and stability of donkey hide quality grading in the production of donkey-hide gelatin, and ensures the authenticity of the color representation of donkey hide images and the robustness of the system.

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Abstract

This invention relates to the field of industrial vision technology, and discloses a method and system for identifying the production process of donkey-hide gelatin (Ejiao) based on industrial vision. The method involves acquiring reference color information of a target with preset optical characteristics under standard lighting conditions, and simultaneously acquiring image data containing both the reference target and the donkey hide to be identified, extracting color information of the reference target area. This color information is then compared with the reference color information, and the offset of the lighting light color composition is calculated based on the comparison result. This offset is used as a quantitative index of the lighting light color composition offset. Finally, color correction is performed on the image data of the donkey hide to be identified based on this quantitative index. This method effectively solves the problem in the prior art where the color temperature shift of the light source caused by steam and gelatin adhesion during the Ejiao production process affects the recognition accuracy of the industrial vision system.
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