Hanseo University, Department of Design Convergence, Seosan 31962, Republic of Korea.
Comput Intell Neurosci. 2022 Jul 20;2022:2586042. doi: 10.1155/2022/2586042. eCollection 2022.
The development in technology has resulted in the utilization of artificial intelligence systems in various fields. In this research, we are going to study cultural and creative product design and image recognition based on a convolutional neural network (CNN) model. A convolutional neural network is referred to as a type of artificial neural network (ANN) that is used to analyze visual images. Our proposed system deploys a convolutional neural network model for image recognition in the field of cultural and creative product design. Cultural and creative products are becoming more popular these days. The cultural and creative products are referred to as innovative products or innovative new product design which makes use of the cultural symbols and other cultural factors in their design. In simple words, it is the integration of culture and creativity in a new product design. The main aspect of cultural creative products is the incorporation of cultural features into a new product, thus obtaining a creative- and culture-based product. The study results have proved that CNN has provided an accuracy of 87%.
技术的发展导致人工智能系统在各个领域得到了广泛应用。在这项研究中,我们将研究基于卷积神经网络(CNN)模型的文化创意产品设计和图像识别。卷积神经网络是一种用于分析视觉图像的人工神经网络(ANN)。我们提出的系统在文化创意产品设计领域中部署了一个卷积神经网络模型来进行图像识别。如今,文化创意产品越来越受欢迎。文化创意产品被称为创新产品或创新新产品设计,它在设计中利用了文化符号和其他文化因素。简单来说,它是将文化和创意融入新产品设计中。文化创意产品的主要方面是将文化特色融入新产品中,从而获得具有创意和文化特色的产品。研究结果表明,CNN 的准确率达到了 87%。