Automated KYC System Using OCR and ML for Identity Verification

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Solution Overview

Problem

The current Know Your Customer (KYC) process is time-consuming, error-prone, and requires manual entry of customer information, leading to incomplete or inaccurate data and high volumes of rework.

Innovation Solution

A computer-implemented system and method for performing a KYC process using a graphical user interface, where customers can fill in and edit data electronically, with identity authentication via a web link, and automatic comparison with existing data to verify information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual forms are used for KYC information collection, then customers can provide information, but the process becomes time-consuming and error-prone with high volumes of rework

Engineering Contradiction:

Improveease of information collectionVSAvoidtime consumption

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The patent replaces manual paper-based KYC forms with an automated digital system that uses optical character recognition (OCR) and machine learning algorithms to extract and verify customer information from uploaded documents, eliminating manual data entry and reducing processing time

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables customers to independently complete KYC verification by uploading their own documents through a user-friendly interface, where the automated system performs extraction and validation without requiring manual intervention from bank staff

Inventive Principle:

Principle #25Self-service

2Reliability

If manual entry of KYC information is performed, then data can be collected, but accuracy decreases leading to incomplete or inaccurate information

Engineering Contradiction:

Improvedata accuracyVSAvoidprocess complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces manual data entry with automated OCR technology and machine learning models that extract text from customer documents and automatically populate the KYC database, significantly improving accuracy by eliminating human transcription errors

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system implements automated validation rules that cross-check extracted information against multiple data sources and provide real-time feedback on data completeness and accuracy, alerting users to discrepancies that need resolution

Inventive Principle:

Principle #23Feedback

3Productivity

If manual generation of communication correspondences is required, then customers can be contacted for KYC information, but the process becomes cumbersome

Engineering Contradiction:

Improveefficiency of information collectionVSAvoidprocess complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system automatically generates and sends communication correspondences to customers through multiple channels (email, SMS, in-app notifications) without requiring manual intervention, enabling customers to initiate and complete the KYC process independently

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The communication system integrates multiple contact methods and automated workflows into a single platform that can handle various customer scenarios (new customers, existing customers, document verification, information updates) through unified processes

Inventive Principle:

Principle #6Universality (Multi-functionality)

4Reliability

If customers manually fill in and return KYC forms, then information can be collected, but the multi-step process requires significant time and effort from customers

Engineering Contradiction:

Improvecompleteness of KYC informationVSAvoidcustomer time investment

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent replaces manual form filling with an automated document upload system that uses OCR to extract information from customer-provided documents (passport, driver's license, utility bills) and automatically populates the KYC database, reducing customer effort to simply uploading documents

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs preliminary validation and extraction of information from uploaded documents before final submission, pre-processing the data to ensure completeness and accuracy, and only requiring customer confirmation rather than manual entry of all fields

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20250124437A1Systems and methods for automated risk assessment analysis

Publication Date: 2025.04.17 PNC FINANCIAL SERVICES GROUP INC

AI summary

A computer-implemented method for performing a Know Your Client (KYC) process. The method includes receiving, at a processor, a request for initiating the KYC process. The method further includes sending a web link to for collecting KYC information, authenticating an identity via the web link, providing a KYC form via a web interface, and receiving the KYC information via the web interface.