A biological data processing method, device and equipment

By using a pre-trained biological attribute analysis model and learningable representation parameters to characterize biological processing attribute information, the high maintenance cost problem of existing systems when expanding attribute information is solved, achieving high scalability and flexibility, and improving the stability of the discrimination system under special conditions.

CN122244916APending Publication Date: 2026-06-19ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
Filing Date
2026-03-03
Publication Date
2026-06-19

AI Technical Summary

⚠Technical Problem

Existing biological attribute information analysis systems require labeling all training data and retraining the model when expanding attribute information, resulting in high maintenance costs and insufficient performance in special cases (such as large areas of facial occlusion, shooting in low-light environments, or large side profiles).

⚗Method used

A highly scalable face attribute analysis system was designed by employing a pre-trained biological attribute analysis model, using learnable representational parameters to characterize different biological processing attribute information, intercepting biological data processing requests, and performing corresponding processing based on attribute information.

🎯Benefits of technology

It improves the scalability and flexibility of the user biometric information analysis system, reduces training costs, and enhances the stability and effectiveness of the discrimination system under special circumstances.

✦ Generated by Eureka AI based on patent content.

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Abstract

This specification discloses a biological data processing method, apparatus, and device. The method includes: intercepting a biological data processing request submitted by a target user; acquiring user biological data to be processed based on the biological data processing request; determining biological processing attribute information corresponding to the user biological data through a pre-trained biological attribute analysis model based on the user biological data, wherein the biological attribute analysis model is configured with learnable representation parameters corresponding to different biological processing attribute information, the learnable representation parameters being used to represent different biological processing attribute information, and the biological processing attribute information being used to represent the success rate of biological data processing corresponding to the biological data processing request; and performing biological data processing corresponding to the biological data processing request based on the biological processing attribute information corresponding to the user biological data.
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