Artificial Intelligence System Based on Wireless Network and Optical Sensor Recognition Application in Museum Interactive VR Design

Abstract

With the rapid development of information technology, museums, as an important place for cultural dissemination, need to improve the audience's sense of experience with the help of emerging technologies. This paper aims to explore the application of artificial intelligence system based on wireless network and optical sensing and recognition technology in interactive virtual reality (VR) design of museums, in order to enhance the interaction between visitors and exhibits through technical means, and enhance the visiting experience. An artificial intelligence system with integrated wireless sensor network was developed to collect real-time environmental data through optical sensors and transmit the data to the central processing unit through wireless network. Then VR technology was used to build an interactive display platform, and the audience could interact with the exhibition content in real time through mobile devices or VR glasses. The study also used user experience questionnaires and data analysis to evaluate the effectiveness of the system. The experimental results show that compared with the traditional exhibition methods, the interactive exhibition system has significantly improved the audience's participation and satisfaction. Therefore, the application of the artificial intelligence system based on wireless network and light sensing recognition in the interactive VR design of the museum successfully realizes the dynamic interaction between the exhibition content and the audience, which not only enhances the attraction of the museum, but also opens up a new path for cultural transmission.