This invention belongs to the field of subjective
optometry prescription parameter measurement and prescription technology. It provides a prescription generation method based on optometrist prescription
big data and visual AI big model, including: acquiring
retinal reflection image sequences under various physiological optical conditions and incident
light source physical conditions; using visual AI big model to perform feature encoding and
inference on the image sequences to generate patient subjective
optometry prescriptions; this invention realizes the mapping from
image sequence representation to optometrist subjective
optometry prescriptions that can be used for direct prescription by acquiring
retinal reflection image sequences under multiple physiological and physical conditions and combining the
feature extraction and analysis capabilities of the pre-built AI big model; through feature
encoder and subjective refractive power generator, the physical consistency, robustness and individual adaptability of subjective optometry prescription parameter prediction are enhanced, realizing automated and high-precision subjective optometry prescription generation.