Optimization Application of Packaging Design Based on CAD and Machine Vision

0Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The integration of computer-aided design (CAD) and machine vision has brought unprecedented convenience and accuracy to packaging design, enabling designers to create packaging designs that meet market demands in a more efficient and precise manner. This article proposes a method that combines CAD and machine vision, which not only optimizes packaging images but also creates packaging design models based on the optimized images, achieving technological synergy. The results show that this algorithm can simplify the model while maintaining its key features and improving computational efficiency. By deblurring, designers can be provided with clearer and more accurate visual information, thereby improving design efficiency. The subjective rating of the designer confirms the superiority of the product packaging CAD system constructed in this article in terms of performance. This research achievement is of great significance for promoting the innovative development of packaging design, enhancing design efficiency, improving designer experience, and providing new possibilities for future progress in the field of packaging design.

Author supplied keywords

Cite

CITATION STYLE

APA

Liu, H., & Liu, D. (2024). Optimization Application of Packaging Design Based on CAD and Machine Vision. Computer-Aided Design and Applications, 21(S15), 244–260. https://doi.org/10.14733/cadaps.2024.S15.244-260

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free