Semi-Automated Account Setup via OCR Image Capture
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Solution Overview
Problem
The process of adding or changing accounts in financial management systems is cumbersome, especially for mobile users, due to the need for manual entry of account information and limited interface capabilities, leading to user frustration and potential errors.
Innovation Solution
A semi-automated system that uses digital image capturing and OCR technology to detect and extract account information from cards and checks, auto-filling forms and simplifying the account setup process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual data entry is used for adding accounts, then data accuracy can be maintained through user review, but the process becomes extremely time-consuming and burdensome for users
Solution Approach 1:
The patent uses optical copying technology (camera imaging) to capture account information from physical cards and checks, creating digital copies that are then processed through OCR to extract data. This eliminates the need for manual typing while preserving data accuracy through automated recognition and user review capabilities.
Solution Approach 2:
The patent replaces the mechanical process of manual data entry with an automated optical recognition system. The camera and OCR technology substitute for the manual mechanical action of typing, significantly reducing the time and effort required while maintaining data accuracy through automated extraction and verification processes.
2Loss of time
If automated OCR recognition is used to extract account information, then data entry time is significantly reduced, but errors may occur in recognizing account details
Solution Approach 1:
The patent implements feedback mechanisms where the system presents the extracted account information to the user for review and confirmation. This allows users to verify the accuracy of OCR-extracted data and correct any errors before final submission, ensuring high reliability while maintaining the speed benefits of automated recognition.
Solution Approach 2:
The patent uses partial automation where OCR handles the initial data extraction but requires partial user verification for critical fields. This hybrid approach captures the speed advantage of automated recognition while incorporating sufficient manual review to ensure accuracy, particularly for account numbers and routing information.
3Ease of operation
If multiple accounts are added through the traditional interface process, then each account can be carefully configured, but the repetitive process becomes extremely tedious especially on mobile devices
Solution Approach 1:
The patent merges multiple account setup processes into a single batch operation. By capturing multiple cards or checks in one image and processing them together through OCR, the system consolidates what would otherwise require multiple separate manual entry sessions into one streamlined workflow, greatly simplifying the user experience on mobile devices.
Solution Approach 2:
The patent performs preliminary data extraction and organization through OCR before the user needs to review or configure account settings. By pre-processing the account information from captured images and organizing it into structured formats, the system reduces the complexity of subsequent configuration steps and makes the overall process more manageable.
Data Source
AI summary
Digital images of account related items, such as credit cards, membership cards, ATM cards, checks, etc., are captured. The digital image of the account related items is then converted into electronic account data that is used to auto-fill add account information data fields of add account forms and semi-automatically add the accounts associated with the account related items to a data management system.