Image recognition processing method and device and terminal equipment

By acquiring and processing visual function information and human eye image information, and utilizing feature extraction and recognition models, the problem of insufficient accurate data support for visual function training has been solved, thereby improving the targeting and effectiveness of visual function training.

CN121963282APending Publication Date: 2026-05-01JINAN HEYING OPTICAL TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202610077894.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-21
Publication Date
2026-05-01

AI Technical Summary

Technical Problem

Existing technologies cannot accurately reflect the relationship between human visual function and eye structure, affecting the relevance and effectiveness of visual function training programs.

Method used

By acquiring multiple visual function information and human eye image information, and using a preset visual function feature extraction vector and human eye image recognition model, feature extraction and fusion processing are performed to generate accurate visual function training images.

Benefits of technology

By deeply mining the key features in visual function data, we can ensure the effective integration of visual function features and eye structure features, thereby improving the targeting and effectiveness of visual function training.

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Abstract

The invention provides an image recognition processing method and device and terminal equipment, and is suitable for the technical field of data processing, and the method comprises the steps: carrying out the feature extraction processing of visual function information based on a preset visual function feature extraction vector, and obtaining a plurality of pieces of visual function feature extraction information; and based on a preset human body eye image recognition model, according to the multiple pieces of visual function feature extraction information and the multiple pieces of human body eye image information, calculating and obtaining multiple pieces of human body eye image recognition information. The adaptability of the generated visual function training image and individual differences is improved, and the pertinence and effectiveness of visual function training are improved.
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