# Integration of Artificial Intelligence in Art Preservation and Exhibition Spaces
## 1 Introduction  
Artificial intelligence (AI) is a technical science aimed at researching and developing theories, methods, technologies, and application systems to simulate, extend, and augment human intelligence capabilities [1]. There is significant potential in applying AI to the restoration and preservation of artworks. The goal in this field is to combine the expertise and skills of human conservators with the powerful computational capabilities of machine learning to improve methods of art restoration and preservation. In recent years, with the advancement of technology, AI has become an indispensable part of our lives, bringing revolutionary changes and playing a crucial role in many fields such as art and cultural heritage protection. This study aims to explore how AI is applied at the Conservation & Research Center and the Technology & Art Development Office of Cheng Shiu University, analyze its impact on these areas, and foresee its future development. This research willfocus on the application of AI in exhibition spaces, including facial image authenticity recognition, visitor flow analysis, and visitor behavior statistics.  
This study proposes methods that can be applied at the Conservation & Research Center and the Technology & Art Development Office of Cheng Shiu University:  
1. Exhibition Environment Status Detection Device and System: This device features multiple sensors that can instantly acquire various environmental data at the device's location. By installing multiple sensors in the exhibition area, the environmental data of various locations within the exhibition can be displayed simultaneously. Furthermore, through AI processing and judgment, the system can intelligently control various electrical and mechanical equipment in the exhibition area based on environmental control signals.
2. Automatic Exhibition Guide System: This system allows a visitor to register an account and store their facial features before entering the exhibition area. When a visitor stays in front of a painting for more than 3 s, the system automatically identifies the visitor and sends an audio-visual guide of the painting to the visitor's mobile device. After the visitor has left the painting for more than 3 s, the system stops playing the guide. Additionally, the system can analyze the crowd density in the exhibition area, using AI algorithms.  
This study employs case study and observational methods as its primary research approaches. Since 2021, Cheng Shiu University has integrated artificial intelligence into the Conservation & Research Center and the Technology & Art Development Office. As one of the few universities in Taiwan to apply AI in both traditional exhibition spaces and preservation environments, Cheng Shiu University serves as a representative case. The applications of the \"Exhibition Environment Status Detection Device and System\" and the \"Automatic Exhibition Guide System\", developed by Professor [PERSON], have clear scopes and specific application fields. Therefore, the conditions are suitable for this study to use the case study method to deeply explore the advantages, disadvantages, and characteristics of AI applications in traditional exhibition spaces.  
This paper is divided into four parts. The first part is the introduction, which introduces the research background and purpose. The second part will introduce the application of AI in the fields of art exhibitions and cultural heritage restoration and delve into the specific applications of AI at the Cultural Heritage Restoration Research Center and the Technology and Art Development Office of Cheng Shiu University. The third part will analyze the impact of AI on these fields and discuss its advantages and disadvantages. The final part will be the conclusion, which summarizes the research results and provides suggestions for future research.