## 1 Introduction  
The global trend of population aging is becoming increasingly pronounced, with accelerated growth in the elderly population, presenting unprecedented challenges and opportunities for tourism studies. Taking China as an example, the country is projected to enter a stage of severe aging by 2035, with the population aged 60 and above expected to reach 487 million by 2050. This demographic will account for 34.8% of China's total population and one-fourth of the global elderly population [1]. Such demographic shifts not only influence the rational allocation of tourism resources and the optimization of services but also necessitate urgent age-friendly transformations at tourist attractions. Developing age-friendly tourist sites is not only a critical strategy to address aging-related challenges but also a significant opportunity to foster innovation in tourism theory and practice. These initiatives are vital for ensuring the sustainable development of the tourism industry [2].  
At present, the configuration of service facilities and management capacity of tourist attractions cannot meet the needs of the aging population [3], and there have been fewerstudies on the age-friendly assessment methods and assessment standards of tourist attractions [3,4]. Based on the results of questionnaire surveys, some scholars have analyzed that the satisfaction of the elderly is related to factors such as the service facilities, accessibility, tourism resources, and environmental quality of tourist attractions [5, 6, 7, 8, 9]. Among them, the degree of improvement of service facilities, such as the adequacy of resting seats and barrier-free facilities, is generally recognized as one of the main factors affecting the satisfaction of elderly tourists, which is directly related to the safety, comfort, and convenience of elderly tourists in the process of tourism.  
Based on the aforementioned evaluation criteria for aging-friendly conditions, the age-friendliness of tourist attractions has been assessed by scholars through data collected via questionnaire surveys, field observations, and random interviews, utilizing IPA analysis and ArcGIS software [6, 10, 11, 12]. However, these assessment methods are often cumbersome, resource-intensive, and time-consuming, resulting in inefficiency. Furthermore, the reliance on surveyed populations introduces subjectivity and variability, which compromises the accuracy and reliability of the assessments.  
In light of the limitations of the aforementioned existing research methods, this paper aims to establish an automatic visual analysis-based evaluation model for the age-friendliness of service facilities by analyzing tourist behavior. This approach addresses the reliance on manual surveys in traditional methods, enhances evaluation efficiency and accuracy, and provides data-driven decision-making support for scenic area renovations.  
In this study, computer vision technology was employed to assess the age-friendliness of tourist attractions, and the adequacy of rest facilities was analyzed across three areas of the Xuanwu Lake Scenic Area in Nanjing, China. The You Only Look Once version 8 (YOLOv8) target detection model and the Multi-Input VOLO version 2 (MiVOLOv2) model [13] were utilized to automatically identify the location and age data of tourists, calculate the facility usage status across different age groups, and evaluate the aging-friendly adequacy rate of rest facilities in these three areas. By incorporating computer vision technology, this paper introduces a more accurate and efficient method for assessing the aging of scenic spots. This approach provides a scientific basis for decision-making regarding the age-friendly renovation of tourist attractions and supports the sustainable development of the tourism industry.