With the development of society and the progress of science and technology, design has been everywhere with human life. The focus of design is to help users understand the product and coordinate the relationship among designers, products, and users. Product modeling, as the most intuitive form of external expression, is the first product characteristics observed by people. As an important front-end behavior of product modeling design, design evaluation is not only an effective channel for multi-scheme decision-making and selection, but also a key link affecting the final effect of products. How to guide product design positioning and enterprise development strategy to unify through design evaluation has become the premise of enterprise product upgrading and sustainable and stable development. Based on this, this paper chooses to use computer vision algorithm for product modeling design evaluation. Since the computer vision algorithm will not change with the change of evaluation conditions, this paper constructs the evaluation method combining gray theory evaluation method and computer vision algorithm. Finally, through the verification and analysis of the effectiveness of the system, it is found that the system model constructed in this paper basically converges after 500 rounds of training, indicating that the system test effect is good and meets the requirements of intelligent evaluation of product modeling.

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Analysis of Intelligent Evaluation System of Product Shape Design Based on Computer Vision Algorithm

  • Yuge Liu,
  • KieSu Kim

摘要

With the development of society and the progress of science and technology, design has been everywhere with human life. The focus of design is to help users understand the product and coordinate the relationship among designers, products, and users. Product modeling, as the most intuitive form of external expression, is the first product characteristics observed by people. As an important front-end behavior of product modeling design, design evaluation is not only an effective channel for multi-scheme decision-making and selection, but also a key link affecting the final effect of products. How to guide product design positioning and enterprise development strategy to unify through design evaluation has become the premise of enterprise product upgrading and sustainable and stable development. Based on this, this paper chooses to use computer vision algorithm for product modeling design evaluation. Since the computer vision algorithm will not change with the change of evaluation conditions, this paper constructs the evaluation method combining gray theory evaluation method and computer vision algorithm. Finally, through the verification and analysis of the effectiveness of the system, it is found that the system model constructed in this paper basically converges after 500 rounds of training, indicating that the system test effect is good and meets the requirements of intelligent evaluation of product modeling.