Blockchain-based cross-platform trusted verification system operation method
By encrypting and fragmenting audio and video data and distributing it, generating AI evaluation feature vectors, constructing Merkle trees and zero-knowledge proofs, the storage pressure and privacy protection issues of blockchain are solved, and efficient cross-platform AI interview data verification and mutual recognition are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ZHANJIANG AIKEDEMI TECHNOLOGY TRADING CO LTD
- Filing Date
- 2026-05-08
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technical solutions have led to a surge in blockchain storage pressure, lack of privacy protection mechanisms, difficulty in achieving cross-platform mutual recognition of AI interview data, and low verification efficiency.
By encrypting and fragmenting the audio and video data of job applicants, an AI evaluation feature vector is generated, and a Merkle tree is constructed. Zero-knowledge proofs and the IPFS network are used for distributed storage, storing only core verification information. Access control is implemented in conjunction with a pre-set access policy contract.
It effectively reduces the storage load on the blockchain, ensures data privacy and security, improves verification efficiency and cross-platform interoperability, and enables fast and reliable AI interview data circulation.
Smart Images
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