Remote Identity Verification System with Fallback Mechanism
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Solution Overview
Problem
Existing methods for remotely verifying user identity are inefficient and unreliable, particularly when attempting to provision data records for services, as they often require physical presence and may not satisfy Know Your Customer (KYC) requirements effectively.
Innovation Solution
A system that employs a primary verification technique using digital identity network verification via a digital identity network, with a secondary verification technique involving image analysis and location verification, to ensure accurate identity confirmation without requiring physical presence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If physical presence is required for identity verification, then verification reliability is improved, but user convenience and processing efficiency deteriorate
Solution Approach 1:
The patent uses digital copies of identification documents and biometric data instead of requiring physical presence. The system verifies identity by analyzing digital images of documents and biometric features captured from remote devices, eliminating the need for users to physically appear at verification locations while maintaining verification reliability.
Solution Approach 2:
The patent replaces manual physical verification processes with automated digital verification systems. Instead of manual inspection of documents and in-person biometric verification, the system uses optical character recognition, image processing, and digital biometric matching algorithms to automatically verify identity remotely.
2Measurement precision
If physical presence is required for identity verification, then verification accuracy is improved, but processing time and efficiency deteriorate
Solution Approach 1:
The system enables continuous verification processing by accepting identification documents and biometric data at any time without requiring scheduled in-person appointments. The automated digital verification process can proceed continuously once data is submitted, eliminating delays associated with scheduling and physical presence requirements.
Solution Approach 2:
The patent replaces time-consuming manual verification processes with automated digital processing systems that can rapidly analyze documents and biometric data using optical character recognition, image processing algorithms, and digital comparison techniques, significantly reducing processing time while maintaining accuracy.
3Ease of operation
If digital identity network verification is used as primary method, then remote verification capability is improved, but system complexity increases
Solution Approach 1:
The patent divides the verification system into separate functional modules: a primary verification path using digital identity networks and a secondary backup path using alternative verification methods. This segmentation allows the system to implement complex digital verification capabilities while maintaining manageable architecture through modular design and clear separation of verification functions.
Solution Approach 2:
The system introduces verification outcome data as an intermediary element that mediates between the primary and secondary verification paths. The outcome data from the digital identity network verification process serves as input for determining whether to proceed with alternative verification methods, simplifying the overall system logic through structured data flow and clear decision thresholds.
4Reliability
If multiple verification techniques are implemented, then verification reliability is improved, but system complexity and implementation difficulty increase
Solution Approach 1:
The patent implements a dynamic verification system that automatically selects and switches between different verification techniques based on real-time conditions and outcomes. The system dynamically adjusts the verification path by evaluating primary verification results and transitioning to secondary techniques only when necessary, reducing overall system complexity through conditional execution rather than requiring all verification methods to operate simultaneously.
Solution Approach 2:
The system uses feedback from the primary verification process to determine whether additional verification steps are needed. The outcome data from digital identity network verification provides feedback that triggers alternative verification methods only when the primary method fails or insufficient data is obtained, simplifying system implementation by avoiding redundant verification steps and reducing overall complexity.
Data Source
AI summary
A server computer system comprises a communications module; a processor coupled with the communications module; and a memory coupled to the processor and storing processor-executable instructions which, when executed by the processor, configure the processor to receive, via the communications module and from a remote computing device, a signal including a request to provision a data record for a service; select digital identity network verification as a primary verification technique; attempt verification using the primary verification technique; determine that verification using the primary verification technique has failed; responsive to determining that verification using the primary verification technique has failed, attempt verification using a secondary verification technique; determine successful verification using the secondary verification technique; and responsive to successful verification using the secondary verification technique, provision the data record for the service.