Online Identity Verification Using Physical Token Pose Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current online identity verification methods are inadequate, particularly in scenarios where complete identity confirmation is not necessary, as they can be easily compromised by identity theft, especially when relying on credit cards, which do not verify the user's physical presence or attributes like age, leading to unreliable verification processes.
Innovation Solution
The system employs face recognition technology, identification card recognition, and real-time image analysis using automated algorithms to validate identity attributes by instructing users to pose with specific physical tokens, such as ID or credit cards, and biometric data, ensuring accurate verification through image analysis and database matching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If credit cards are used for online verification, then payment capability is confirmed, but identity authenticity cannot be verified
Solution Approach 1:
The patent replaces manual identity verification processes with automated image analysis algorithms and computer vision technology. The system automatically detects physical tokens, extracts features, and validates identity attributes without human intervention, thereby improving reliability while managing complexity through automation.
Solution Approach 2:
The patent introduces physical tokens as intermediary objects that bridge the gap between online verification and physical identity confirmation. These tokens serve as tangible proof of identity attributes, allowing remote verification systems to confirm identity authenticity without direct physical contact or complex human review processes.
2Reliability
If complete identity verification is performed, then security is improved, but user anonymity is compromised
Solution Approach 1:
The patent extracts and verifies only the specific identity attributes necessary for the transaction (such as age, gender, or other relevant characteristics) while leaving the user's complete identity information private. The physical token verification process confirms required attributes without requiring disclosure of full identity details, thus maintaining anonymity while ensuring security.
Solution Approach 2:
The patent applies different levels of verification to different identity attributes. Instead of requiring complete identity disclosure, the system verifies only the local quality or specific attribute needed for the transaction (e.g., confirming age for adult content access), allowing users to maintain privacy for unrelated identity information.
3Measurement precision
If physical token verification is implemented, then identity attribute accuracy is improved, but verification time increases
Solution Approach 1:
The patent requires users to have physical tokens prepared in advance before the verification process begins. The tokens contain pre-encoded identity attribute information that can be quickly read and validated by the automated system, eliminating the need for time-consuming manual verification or real-time data collection during the actual verification process.
Solution Approach 2:
The patent replaces manual inspection and verification processes with automated image analysis and optical character recognition systems. These automated systems can rapidly process physical token images, extract relevant information, and validate identity attributes in seconds, significantly reducing verification time while maintaining high accuracy.
Data Source
AI summary
A method for verifying an identity attribute of a remote user includes providing pose instructions to a remote client from a host during an authentication session. The pose instructions may reference a specific physical token associated with the user, for example a government ID card, credit card, household object or printed or displayed image provided from an authentication host. The host receives an image from the client and may analyze the image to determine if the pose instructions were followed and if the physical token appears in the image. Based on this determination, and optionally using other factors, the host verifies an identity attribute of the user.


