OCR-Based User Information Form Auto-Population
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Solution Overview
Problem
Manual entry of user information for online and mobile payments is time-consuming and error-prone, leading to user dissatisfaction.
Innovation Solution
A system and method that uses images of user documentation, analyzed using Optical Character Recognition (OCR), to automatically populate user information forms on devices, allowing users to quickly and accurately provide required information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual entry of user information is used, then users can provide information, but the process is time-consuming and error-prone
Solution Approach 1:
The patent uses Optical Character Recognition (OCR) technology to capture user information from images of identification documents, cards, or other materials. Instead of manual typing, the system creates digital copies of the information by automatically recognizing and extracting text from uploaded images, thereby eliminating time-consuming manual entry while maintaining high accuracy through automated validation
Solution Approach 2:
The patent replaces the mechanical process of manual keyboard input with an automated optical recognition system. The OCR technology converts visual information from images into structured digital data that can be directly populated into forms, substituting the manual mechanical typing process with an automated computational process that is both faster and more accurate
2Ease of operation
If manual keying in of user information is required, then forms can be filled, but the process is tedious and leads to user dissatisfaction
Solution Approach 1:
The system allows users to simply upload images of their identification documents or information sources. The OCR technology then automatically copies the relevant information from these images and populates the form fields, transforming a tedious manual process into a simple upload-and-wait operation that users find much easier and more satisfying
Solution Approach 2:
The patent implements self-service automation where the system itself performs the information extraction and form population tasks without requiring user intervention in the actual data entry process. The automated OCR system serves itself by independently recognizing, extracting, and formatting information, freeing users from the burdensome manual keying task
3Productivity
If automated image analysis is used, then user information can be automatically populated, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary OCR processing layer that sits between the user-uploaded images and the form population system. This intermediary component handles the complex image analysis, text recognition, and data extraction tasks, isolating the complexity from both the user interface and the core form processing system, thereby enabling high productivity without proportionally increasing overall system complexity
Solution Approach 2:
The patent replaces complex manual information gathering and verification processes with automated optical recognition and data extraction technology. This substitution enables rapid information provision by using sophisticated image analysis algorithms that can process multiple data points simultaneously, achieving high productivity while the modular architecture manages the inherent complexity
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Streamlines the user information provision process by reducing manual input time and errors, enhancing user convenience and satisfaction in online and mobile payment transactions.
Implementation Method 1
the user device analyzes the image using Optical Character Recognition (OCR) to detect whether it includes user information
Data Source
AI summary
A method for automated user information provision using an image includes requesting at least one user information image in response to receiving a user information form from a requesting entity over a network. The at least one user information image is received from a camera. The at least one user information image is analyzed using a processor to determine that the at least one user information image includes requested user information in at least one request section of the user information form. The requested user information is automatically provided into the at least one request section of the user information form. The user information form including the requested user information in the at least one request section is displayed on a display. The user information form may then be sent over the network to provide the requested user information to the requesting entity.