Innovative Application and Effect Evaluation of CAD and Deep Learning in Brand Packaging Design

Abstract

With the growth of the social economy, the quality of life is gradually increasing, and consumers' standards for brand design and packaging are more distinctive. Against this background, this paper studies the innovative application of brand packaging design based on CAD technology and deep learning algorithms and evaluates and analyzes its application effect. Firstly, the development process of CAD technology and deep learning algorithms is described. CAD technology is used to analyze the brand design style from the data layer and establish a 3D visual model. On this basis, the texture information in packaging design is extracted, and the relevant values are dynamically changed in CAD software. Finally, the deep learning algorithm is used to optimize the packaging design further. Image fusion is used to improve the resolution and matching effect of packaging design patterns. The features related to packaging design in big data are extracted by algorithms to achieve innovative design goals. The research results show that CAD computer-aided and deep learning technology can make innovative design styles play a good application effect in brand packaging design so that modern design style is more popular.