According to the international definition on the aging society, China has entered an aging population period.The research and strategies addressed on age-related health problems have become one of the key parts of the national strategy of Active Health.Age-related visual function decline and ocular diseases include presbyopia, cataract, age-related macular degeneration, glaucoma, diabetic retinopathy, etc.It is significant to engage the role of Active Eye Health Project in the research on related areas and in introducing appropriate scientific strategies to early intervene their occurrence and development.On the basis of prior research and practices conducted by other teams, this article analyzed age-related eye health problems as well as their serious impacts, and put forward the concept and specific strategies related to visual function decline and restoration.Additionally, combined with the preliminary practice of our team, the feasibility and the clinical significance of early intervention were investigated.

To comprehensively assess the true visual function of clinical dry eye patients and the comprehensive impact of blinking characteristics on functional vision of the human eye,an intelligent vision measurement system has been designed and developed to detect and analyze blinks from the side.The system employs deep learning keypoint recognition technology to analyze eyelid features from a lateral perspective.It presents the data of identified key points for the upper and lower eyelids in a line chart format and annotates the trough of each blink.By setting benchmark values,the system automatically calculates the proportion of complete and incomplete blinks in the tested individuals.The results indicate that the system is stable in performance and accurate in measurement,successfully achieving the anticipated design objectives.It thereby provides reliable technical support for future clinical applications.