基于数据分析的包装外观AI协同设计系统及方法

By analyzing data from regional coating and error mapping models, the problems of scattering interference and errors caused by differences in surface characteristics in traditional testing are solved. This enables efficient and accurate testing of packaging appearance through AI collaborative design, reducing resource waste and quality fluctuations.

CN120686737BActive Publication Date: 2026-07-17SHENZHEN JINFENG PACKAGING TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHENZHEN JINFENG PACKAGING TECH CO LTD
Filing Date
2025-06-09
Publication Date
2026-07-17

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Abstract

本发明公开了基于数据分析的包装外观AI协同设计系统及方法，涉及包装外观数据分析领域，本发明通过轮廓检测、反光特性分类、涂覆优化与误差反馈的完整闭环，实现从数据采集到工艺调整的全流程自动化控制，显著提升工业检测的一致性与可靠性；基于反光阈值(高 / 中 / 低)的差异化涂覆策略，结合误差映射模型的实时参数调整，有效应对复杂表面特性导致的测量干扰，增强检测系统鲁棒性；另外通过权重值动态决策涂覆必要性，避免冗余工艺步骤，在保证关键指标(如轮廓精度)的前提下优化检测效率与成本；其中，利用历史数据矩阵构建误差映射模型，形成可迭代改进的工艺知识库(对涂料的参数进行改进)，为后续产品包装检测提供自适应优化基础。
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