Abstract: To ensure the quality of care for inpatients in ophthalmic hospitals and address the complex and variable conditions of postoperative patients, an intelligent patient monitoring system based on computer vision and AI has been designed¹. This system is used for real-time monitoring of patient health conditions and intelligent care, with primary applications in medical monitoring, rehabilitation therapy, and inpatient care. It includes intelligent data acquisition devices, smart cameras, continuous physiological data analysis algorithms, AI algorithms, and software.Given the complex and variable conditions of postoperative patients in ophthalmic hospitals, a comprehensive, accurate, and real-time monitoring of patients is required, necessitating a monitoring technology with low physiological and psychological burden. The intelligent monitoring system can continuously collect patients' physiological parameter indicators and transmit monitoring data to doctor's workstations or nurse stations after analysis using intelligent algorithms, providing new tools for patient monitoring, disease assessment, risk warning, and more.Furthermore, through the application of computer vision and artificial intelligence technologies, the system can analyze facial expressions, body postures, and other data to identify patients' emotional states and bedridden postures, enabling timely detection of abnormal situations and corresponding measures. This aids in improving the daily work of medical staff, enhancing the safety of nursing in single-patient rooms in wards, and potentially finding applications in the care of critically ill and elderly patients, thereby improving nursing efficiency and quality.