Visual Communication Style Analysis Combined with Computer Learning and Ceramic Packaging Design Innovation

Abstract

The packaging is referred to as a ceramic package since ceramics are employed as part of the material for each of these components. Innovative product package design specializes in providing economic advantages by increasing sales of the product and enhancing the brand’s reputation. From ceramic packaging to plastic packaging, the obstacles are larger and heavier. Cost increases may result from the production and testing of ceramic packaging. In this study, we proposed a novel spiral-optimized adjustable XGBoost (SO-AXGBoost) to analyze the ceramic packaging design. In this study, we collected a large dataset of images featuring various ceramic packaging designs. The features were extracted from images of packages using discrete wavelet transform (DWT). The outcomes demonstrated that while before optimization can evaluate ceramic package design, after-optimization outperformed the others in terms of assessing package design. The study demonstrates that effective techniques for learning ceramic package design can be combined with visual communication style analysis. This creative approach improves market trends and customer preferences in addition to the practical and aesthetic features of packaging.