Cultural and Creative Product Design and Image Recognition Based on Deep Learning

被引:2
|
作者
Li, Ren [1 ]
Wang, Chunbin [2 ]
机构
[1] Shaoyang Univ, Acad Art & Design, Shaoyang, Hunan, Peoples R China
[2] Huzhou Univ, Art Sch, Huzhou, Zhejiang, Peoples R China
关键词
AHP; SELECTION; SYSTEMS; TOPSIS;
D O I
10.1155/2022/7256584
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
In today's technological world, advanced intelligence technologies such as deep learning (DL) techniques are widely applied in various fields. In this study, people are going to research cultural and creative product design and image recognition based on deep learning. Cultural creative products are referred to as products that are designed by taking inspiration from the cultural aspects. The use of cultural and creative products has increased among the people, thus creating a fair market. Artificial intelligence deep learning (DL) is employed for the design of culturally creative objects. Deep learning is referred to as a machine learning technique that is used to teach machines to imitate human behaviour so that computers can learn from examples. The proposed system utilizes image recognition technique which is referred as the ability of computer systems to identify objects from an image. The image recognition technique integrates machine vision technology, which uses cameras and artificial intelligent software for recognising images. This technology is widely used for various functions, such as self-driven cars, image content searches, and machine vision robots. In our proposed system, image recognition based on deep learning is used in the design of cultural and creative products through the utilisation of randomized algorithms. The system is found to deliver more accurate solutions when compared with the existing LDA, HMM, and optimization algorithms.
引用
收藏
页数:9
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