Design and Research of Myopia Prevention Monitoring System

Abstract

Myopia has become one of the important problems that affect the vision health of adolescents and children. In order to prevent myopia, various myopia prevention and monitoring systems have emerged in recent years. This paper aims to research and design a sensor-based monitoring system for myopia prevention. The system includes multiple functional modules such as vision detection, eye monitoring, visual training and data management, which can monitor and analyze the user's vision status in real time, and provide personalized myopia prevention programs and visual training plans. In the process of design and implementation, we adopted algorithms based on machine vision and deep learning to improve the accuracy and stability of the system. The experimental results show that the system can effectively improve the user's vision health level and reduce the incidence and aggravation rate of myopia. The research results of this paper have certain practicability and promotion value, and can provide a new solution for preventing myopia.