Digital duplicate model generation method and device

By introducing compliance verification, AI agent automated processing, and blockchain evidence storage into the digital avatar generation system, the problems of delays and security risks caused by manual intervention in existing technologies have been solved, achieving efficient and secure digital avatar generation.

CN122065869APending Publication Date: 2026-05-19BEIJING COCONUT TREE INFORMATION TECH CO LTD
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Patent Information

Application Number
CN202511868597.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-11
Publication Date
2026-05-19

AI Technical Summary

Technical Problem

Existing digital clone generation systems suffer from delays due to human intervention and insufficient processing capacity in their core processes, resulting in long response times, low concurrency, and inconsistencies in information and security risks.

Method used

By acquiring user information and performing compliance verification, functional options are dynamically generated, encapsulated into structured requests, and automated task distribution and parameter parsing are achieved using AI agents. Combined with data encryption and blockchain notarization, information security and consistency are ensured.

Benefits of technology

It significantly shortens system response time, improves processing efficiency and concurrency capabilities, and greatly enhances the accuracy and security of digital avatar generation, while reducing the risk of information leakage.

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Abstract

The invention discloses a digital duplicate model generation method and device, and the method comprises the steps: obtaining personal information which is submitted by a user and is used for generating a digital duplicate, and carrying out the compliance verification of the personal information; if the personal information passes the verification, generating at least one newly added clone function option in a user interface; in response to selection of the user on the cloning function option, associating the personal information passing verification with a cloning type corresponding to the option selected by the user, and packaging the personal information into a structured cloning request; and obtaining the cloning request, distributing the cloning request to the corresponding digital cloned agent, and generating a digital cloned model matched with the personal information of the user based on the key parameters. The interaction efficiency is improved through dynamic UI updating, the cloning accuracy is guaranteed through multi-dimensional information verification, the response time is shortened through an automatic proxy link, meanwhile, a compliant data security mechanism is established, and efficient, safe and personalized cloning service is achieved.
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