Identity Verification System Using Segregated Biometric Data
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Solution Overview
Problem
Current identity verification methods for online and offline transactions are inadequate, as they lack real-time verification, are prone to fraud, and require cumbersome processes, such as notarization and manual verification, which are time-consuming and unreliable.
Innovation Solution
A computer-implemented user identity verification method using biometric data, personalized data, and unique phone data, processed through a closed-network identity verification session with AI and blockchain technology to create a Digital Secured and Unforgeable ID (DSUID), ensuring secure and automated identity verification across various transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple outdated identification systems are used to verify identity, then security is improved, but the process becomes time-consuming and complex
Solution Approach 1:
The patent combines multiple identification data sources (biometric data, personalized data, unique phone data) into a single integrated verification system. This merging of previously separate verification methods into one unified process reduces the time required while maintaining security through the aggregation of multiple data types.
Solution Approach 2:
The system performs preliminary data collection and processing by gathering biometric, personalized, and unique phone data in advance. This preliminary action allows the verification process to proceed more quickly when needed, as the foundational data is already collected and prepared for rapid comparison and validation.
2Measurement precision
If manual verification by trained staff is used, then accuracy is improved, but operational complexity and cost increase
Solution Approach 1:
The verification system operates autonomously without requiring manual intervention by trained staff. The system automatically compares biometric data, personalized data, and unique phone data to verify identity, enabling self-service verification that maintains accuracy while eliminating the need for complex human-operated verification processes.
Solution Approach 2:
The patent replaces manual mechanical verification processes with automated electronic and optical systems. Biometric scanners, camera-based facial recognition, and digital data processing substitute for human staff physically examining identification documents, thereby maintaining precision while reducing operational complexity.
3Ease of operation
If video-conferencing technology is used for verification, then remote verification is enabled, but reliability decreases due to human error
Solution Approach 1:
The system replaces manual video-conferencing verification with automated biometric and data-based verification. Instead of relying on staff to visually compare photo ID during video calls, the system uses automated facial recognition, biometric data comparison, and unique phone data verification to eliminate human error while maintaining remote verification capability.
Solution Approach 2:
The verification system incorporates automated feedback mechanisms that objectively compare provided identification data against stored biometric and personal data. This feedback loop provides reliable, consistent verification results without the subjectivity and potential errors associated with human judgment in video-conferencing settings.
4Productivity
If email-based signature verification is used, then electronic signing is enabled, but proof of identity is insufficient
Solution Approach 1:
The patent merges electronic signature capability with multi-factor identity verification by combining biometric data, personalized data, and unique phone data. This integration ensures that electronic signing maintains high productivity while achieving reliable identity proof through the aggregation of multiple verification data sources.
Solution Approach 2:
The system performs preliminary identity verification using biometric and personal data before enabling electronic signature functionality. This preliminary action ensures that identity is confirmed in advance, providing reliable proof of identity while maintaining the speed and convenience of electronic document signing.
Data Source
AI summary
A computer-implemented method of verifying a user's identity comprising the steps of receiving biometric user data, personalized user data, and unique phone data of a verifying user from the verifying user's electronic computing device 102, compiling the biometric user data, personalized user data, and unique phone data of a verifying user into a single user identity data file, encrypting the single user identity data file and generating a data decryption key, and segregating the single user identity data file into a plurality of encrypted segregated user identity data files each independently stored on a first administrator server and a second administrator server, wherein the plurality of encrypted segregated user identity data files may only be aggregated and decrypted upon providing secondary biometric user data, personalized user data, and unique phone data which matches the original biometric user data, personalized user data, and unique phone data of the verifying user.