Web App Identity Verification with Real-Time Image Quality Feedback
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Solution Overview
Problem
Existing digital authentication systems face challenges in efficiently verifying end-user identities remotely, particularly in ensuring image quality for ID documents and biometric data, without requiring users to download apps.
Innovation Solution
A method and system that utilize a web application accessible via a mobile phone's camera, providing real-time image quality checks and feedback to users, allowing for automatic or manual image capture without the need for app downloads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If real-time image quality checking and feedback is implemented, then image quality is improved, but processing time and system complexity increase
Solution Approach 1:
The system performs image quality checks on captured frames before final capture, analyzing focus, lighting, and composition in advance. This preliminary action prevents poor quality images from being captured, ensuring high manufacturing precision without requiring complex post-processing corrections.
Solution Approach 2:
The system provides real-time feedback to users about image quality metrics such as focus status, lighting conditions, and composition. This feedback loop enables users to adjust their capture actions immediately, improving image quality through iterative refinement rather than relying on complex automated correction systems.
2Measurement precision
If multiple image quality parameters are checked in real-time, then measurement precision is improved, but processing speed decreases
Solution Approach 1:
The image quality checking system is divided into separate modular components, each responsible for specific parameters such as focus detection, lighting analysis, and composition evaluation. This segmentation allows each parameter to be checked independently and efficiently, maintaining measurement precision while enabling parallel processing to preserve speed.
Solution Approach 2:
The system performs comprehensive image quality checks on a subset of captured frames before final capture, rather than analyzing every single frame in detail. This partial action approach maintains high measurement precision for critical quality parameters while reducing overall processing load and maintaining acceptable processing speed.
Data Source
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AI summary
A system supporting identity verification for an end-user, the system including a hardware processor configured for sending a link, which directs an end-user to a software functionality, such as but not limited to a web application, native app/native sdk, web app desktop, web sdk, which is operative for end-user identity verification, to an end-user's mobile phone, thereby to open an identity verification session when the end- user clicks on the link; and wherein data is elicited from the end-user via the software functionality activated by the end-user's clicking on the link. Typically the software functionality processes at least one image captured by at least one end-user's cellphone during the session or in real time or near real time, and for at least one image so captured, detects, and communicates to the end-user that the image is of unsatisfactory quality.