AI Identity Checking With Real-Time Image Validation
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Solution Overview
Problem
Existing online application processes do not perform security checks until the application is completed, missing opportunities to address identity verification concerns before submission, leading to halted processing and manual intervention.
Innovation Solution
Implement an AI-driven system that performs security checks, such as identity verification, on a partially completed application form, allowing users to continue filling out the form while automatically detecting and addressing security concerns in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If security checks are performed only after application completion, then the application process is simple and fast, but identity verification issues are detected too late causing halted processing and manual intervention
Solution Approach 1:
The system performs security checks and identity verification in real-time during the application filling process, before the application is submitted. This preliminary action allows potential issues to be detected and addressed early, preventing later processing halts and reducing manual intervention needs.
Solution Approach 2:
The system provides real-time feedback to users during the application process by detecting security concerns and presenting them as overlays or alerts. This feedback mechanism allows users to correct issues immediately, maintaining application flow while ensuring thorough verification.
2Reliability
If real-time security checks are implemented during application filling, then identity verification issues are detected early improving security, but the application process becomes more complex and slower
Solution Approach 1:
The system merges security check functionality with the existing application form structure by presenting security overlays and alerts integrated into the application interface. This integration combines verification operations with the user interaction flow, avoiding separate complex verification processes.
Solution Approach 2:
The system uses visual overlays and alerts as intermediaries between the application form and security verification processes. These overlays present security concerns in a user-friendly manner without disrupting the overall application flow, simplifying the user experience while maintaining thorough security checks.
3Device complexity
If manual intervention is required for security concerns, then the system remains simple, but processing time increases and efficiency decreases
Solution Approach 1:
The system enables users to self-service by presenting security concerns directly in the application interface and allowing them to correct issues without manual intervention. Users can resolve security concerns themselves by modifying their application data, eliminating the need for人工 review and reducing processing time.
Data Source
AI summary
An example operation may include one or more of receiving application data via at least one data prompt on an application form on a computing device, receiving application data via at least one data prompt on an application form on a computing device, receiving device data from the computing device, executing a trained artificial intelligence (AI) model to predict an identity risk level based on the application data and the device data, determining at least one needed detail of an applicant associated with the application data, wherein the at least one needed detail is an image of the applicant in a specific setting based on the predicted identity risk level, augmenting the application form on the computing device with at least one additional data prompt for the image of the applicant in the specific setting, receiving the image of the applicant, and validating the image of the applicant.