# Integration of Artificial Intelligence in Art Preservation and Exhibition Spaces
## 6 Conclusions and Recommendations  
Through this study, we conducted an in-depth exploration of the implementation of AI project systems within specific fields, using a case study approach. We analyzed the advantages and disadvantages based on four different comparison points: \"Exhibition Space Guidance\", \"Exhibition Services\", \"Personal Experience\", and \"Exhibition Environment\". Data were collected using participatory observation methods, revealing the potential and effectiveness of AI technology in the preservation and exhibition of artworks. Firstly, the application of AI in the preservation environment has improved detection accuracy and efficiency, reducing human error. Multi-sensor systems can obtain real-time environmental data and use AI to intelligently control the operation of equipment within the exhibition space. Secondly, in terms of exhibitions, AI technology provides rich interactive experiences. Through automatic guide systems and facial recognition technology, visitor data are collected and analyzed to determine crowd density, offering personalized exhibition routes and explanatory content, thereby enhancing the viewing experience. However, the application of AI technology also faces challenges. The high cost of technology may be unaffordable for small and medium-sized museums and art institutions. For example, Cheng Shiu University does not have sufficient funds to establish such systems and relies on the development by the university's electronics and mechanical academic units to save equipment costs. Additionally, the application of technology requires the support of professional talent, thus posing higher demands on existing human resources. Therefore, it is recommended that relevant institutions consider long-term operational and maintenance costs when introducing AI technology and strengthen the cultivation and recruitment of professional talent. In summary, AI technology brings new opportunities and challenges to the management of artworks. In the future, it is expected to realize its potential in more fields, providing strong support for the protection and inheritance of artworks. Beyond the preservation and exhibition of artworks, AI technology can also be extended to other fields. The Exhibition Environment Status Detection Device and System, along with the Automatic Exhibition Guide System, have significant potential for application in various other fields. In the medical sector, these systems can be utilized for monitoring hospital ward environments, thus ensuring optimal conditions for patient recovery by tracking temperature, humidity, and air quality. Additionally, they can control the environment in operating rooms for maintaining sterility and safety during surgeries. In the realm of smart buildings, these systems can manage office environments by optimizing HVAC and lighting systems, thereby enhancing employee comfort and productivity. They can also be integrated into smart homes for monitoring indoor conditions and providing automated home control, thus improving living quality. In agriculture, these systems can monitor greenhouse environments, optimizing conditions for crop growth and increasing yield and quality. The