Innovation of Computer Aided Design of Tourism Cultural Products with Service Design Concept

Abstract

With the continuous development of image emotion recognition technology, computer vision technology and artificial intelligence algorithm can be used to analyze the emotion of images, and then emotional computer-aided design (CAD) of tourism products can be realized. In this paper, the concept of service design is combined with virtual reality (VR) technology, and the emotion identification technology based on convolutional neural network (CNN) is used for emotion analysis, so as to better understand and meet the needs and emotional state of tourists, provide more accurate services and solutions, and promote the innovative development of tourism. The simulation test shows that CNN model performs best in both accuracy and recall. This may be because CNN model has natural advantages in processing image data, which can better capture the characteristics of images and has good spatial perception ability. The CAD design method in this paper can improve the user experience of ICH tourism cultural products, make users understand and feel the cultural connotation of tourism products more deeply, and also enhance the interaction between users and tourism products.