Intelligent Layout Optimization Algorithm Combining Machine Vision in Tourism Product Design

被引:0
|
作者
Kang F. [1 ]
Li J. [2 ]
机构
[1] Tourism Management, Sichuan Tianyi College, Sichuan, Mianzhu
[2] School of Economics, Sichuan University of Science & Engineering, Sichuan, Zigong
来源
Computer-Aided Design and Applications | 2024年 / 21卷 / S15期
关键词
Cad; Defect Detection; Machine Vision; Tourism Product Design;
D O I
10.14733/cadaps.2024.S15.194-209
中图分类号
学科分类号
摘要
In today's tourism market, product quality is a key factor in enhancing competitiveness and meeting consumer needs. However, due to limitations in process and mechanical accuracy, many product surfaces often exhibit various defects. Traditional manual inspection methods have many shortcomings in practical industrial applications. This article successfully constructs an intelligent layout optimization algorithm by combining computer-aided design (CAD) technology and machine vision technology, further improving the quality of tourism product design. This algorithm predicts possible surface defects in the product through machine vision technology in the early stages of product design and optimizes them during the design phase to avoid waste in later production. By combining CAD and machine vision, products can be comprehensively optimized during the design phase, improving production efficiency and meeting the growing quality needs of consumers for tourism products. This reflects important significance in promoting technological innovation in the tourism industry and enhancing the international competitiveness of tourism products. © 2024 U-turn Press LLC.
引用
收藏
页码:194 / 209
页数:15
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