Real-Time Document Verification for Virtual Banking Fraud Checks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current virtual chat bots are inefficient and redundant due to reliance on human intervention for secure information transfer, necessitating improved virtual credential systems for secure and efficient identification and interaction.
Innovation Solution
A method for secure data transfer using digital channels, involving a platform that initiates a customer assist instance, determines the need for a document scan, sends a unique scan session, scores the document based on legibility and quality, and allows transactions based on authorization rules, with real-time fraud prevention and alerting capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If virtual chat bots use human intervention for secure information transfer, then security is maintained, but efficiency and user experience deteriorate due to redundancy and delays
Solution Approach 1:
The system enables self-service through automated document scanning and verification. The virtual assistant independently collects customer information, scans identification documents, verifies authenticity, and completes transactions without human intervention, allowing the system to serve itself while maintaining security protocols
Solution Approach 2:
The patent replaces manual human verification processes with automated optical character recognition (OCR), machine learning-based document authentication, and digital verification systems. This substitution of mechanical human action with automated technological systems eliminates redundancy while preserving security
2Productivity
If automated document scanning is implemented, then efficiency and real-time verification improve, but system complexity and fraud detection challenges increase
Solution Approach 1:
The verification system is divided into distinct modular components: document capture module, OCR processing module, authentication module, and transaction processing module. Each segment handles a specific aspect of verification, making the complex system manageable and maintainable while enabling real-time operation
Solution Approach 2:
The patent introduces intermediary technologies such as OCR software and machine learning models that bridge the gap between raw document images and verified customer information. These intermediaries simplify the overall system by handling complex image processing and authentication tasks automatically
3Object-affected harmful factors
If document scanning is required for unknown devices, then fraud prevention improves, but user convenience and interaction speed deteriorate
Solution Approach 1:
The system dynamically adjusts verification requirements based on device recognition. Known trusted devices receive streamlined verification with fewer document requirements, while unknown devices undergo more rigorous scanning. This dynamic adaptation maintains security against fraud while preserving user convenience for legitimate customers
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Methods and systems consistent with the disclosure include a method for secure transfer using digital channels, comprising: receiving, by a platform executed by one or more processors of a server, a notification of a customer call, wherein the notification comprises an incoming phone call from a user; initiating a customer assist instance responsive to the notification; determining whether to ask the user for a document scan based on whether a user's device is known by the platform; sending, based on a determination that authorization is required, an event to the user's device with a unique scan session; receiving a scanned document from a user's device via use of the unique scan session; and determining, based on the scanned document, to allow a transaction.