Secure True Digital ID Verification with AI Biometric Matching
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Solution Overview
Problem
Existing ID verification systems are susceptible to fake or altered IDs, cumbersome to authenticate, and lack the ability to verify a person's name from the ID or vice versa, leading to inefficiencies and potential false identifications.
Innovation Solution
A decentralized secure true digital ID (DsTC) system using AI/ML to scan biometric data, verify the authenticity of physical IDs, generate a secure true digital ID, and provide role-based access, utilizing encrypted verification and validation to create a tamper-proof intermediate representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional ID verification systems are used, then the verification process is simple, but the system is susceptible to fake or altered IDs and cannot verify name from ID or vice versa
Solution Approach 1:
The patent introduces an intermediate representation (such as a QR code or unique identifier string) that connects the verifiable credential to the person. This intermediary enables bidirectional verification between ID and name without requiring complex direct comparison systems, thus improving reliability while maintaining reasonable system complexity
Solution Approach 2:
The patent replaces manual radio-based verification with automated digital verification systems that can instantly verify ID authenticity and bidirectional name-ID matching, significantly improving verification accuracy and reliability without requiring proportionally complex infrastructure
2Productivity
If manual verification procedures are used, then the verification can be performed, but the process is labor intensive and time-consuming
Solution Approach 1:
The patent implements self-service verification capabilities where the system automatically verifies ID authenticity and bidirectional name-ID matching without requiring manual intervention from law enforcement officers, dramatically improving productivity and reducing time loss
Solution Approach 2:
The patent replaces labor-intensive manual radio verification with automated digital verification systems that perform instant validation, eliminating the need for officers to manually communicate with remote verification personnel and significantly reducing verification time
3Measurement precision
If traditional ID verification is used, then the process is straightforward, but false positive or negative identifications occur
Solution Approach 1:
The patent introduces an intermediate representation that serves as a reliable connector between the ID credential and the person's identity. This intermediary enables precise bidirectional verification, eliminating false positives and negatives by ensuring that the verification system checks both the ID-to-name and name-to-ID relationships, thereby improving measurement precision without excessive complexity
Data Source
AI summary
A system includes a processor of an ID verification node and a memory of a decentralized digital identifier for communication (DsTC) module on which are stored machine-readable instructions that when executed by the processor, cause the processor of the ID verification node to: receive a verifiable credential associated with a user, wherein the verifiable credential is uploaded by a sender; apply artificial intelligence (AI)/machine learning (ML) to scan biometric image data to verify the sender of the verifiable credential corresponds with the user associated with the verifiable credential; verify the authenticity of the verifiable credential with an issuer of the verifiable credential; in response to verifying that the verifiable credential is authentic, generate an intermediate representation to create a secure true digital ID corresponding to the user; and provide role based access for the user based on the secure true digital ID.