Facial Identity Verification to Block Duplicate Online Accounts
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Solution Overview
Problem
Existing online systems fail to prevent users from creating multiple fake or redundant accounts, allowing undesirable behaviors such as cyberbullying, catfishing, and bot interference, and do not verify the true identity of users effectively.
Innovation Solution
A user verification system that utilizes facial recognition to correlate live facial images with photo ID images, verifies non-facial ID data, and checks for account singularity to ensure a single authentic identity, using optical scanning and government databases for validation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional account creation systems are used, then ease of operation is improved, but reliability deteriorates due to fake and redundant accounts
Solution Approach 1:
The system performs preliminary identity verification by capturing and processing facial images before account creation is finalized. The facial recognition system pre- Validates the user's identity against database records, preventing fake accounts from being created in the first place.
Solution Approach 2:
The patent replaces traditional manual identity verification methods with automated facial recognition technology. Instead of relying on users to provide documentation or answer security questions, the system uses biometric facial image analysis to automatically verify identity and prevent account fraud.
2Reliability
If facial recognition verification is implemented, then reliability is improved, but device complexity increases
Solution Approach 1:
The facial recognition system is designed to serve multiple functions: it verifies identity authenticity, checks for redundant accounts, and prevents bot creation. This multi-functional approach consolidates what could be separate verification systems into a single unified platform.
Solution Approach 2:
The system performs self-verification by automatically capturing facial images, comparing them against database records, and making verification decisions without requiring manual intervention. The automated nature of the process reduces the need for complex human-operated verification infrastructure.
3Reliability
If multiple verification steps are required, then reliability is improved, but loss of time increases
Solution Approach 1:
The verification process operates continuously without interrupting the account creation flow. Facial images are captured and processed in real-time as the user completes registration, allowing verification to occur alongside other account setup tasks rather than as a separate sequential step.
Solution Approach 2:
The system uses rapid facial recognition processing to quickly verify user identity and move through the verification step efficiently. The automated biometric analysis completes in seconds, allowing the system to rush through the verification process without requiring extended user interaction or multiple manual checks.
Data Source
AI summary
A system, method, and computer program product are used to verify the identity of a user implemented on a computer system. This achieved by receiving data in the form of facial images and non-facial identifying data from a user that is evaluated and verified to determine that the user is authentic and the submitted data is verified by a verification entity. The user data is also compared to preexisting data of other users so that only a single account for a user can be created.