QR Code Form Filling Through Automated Data Conversion

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Solution Overview

Problem

Existing form-filling techniques require manual input of data, are inefficient for users with limited dexterity or literacy, and can lead to incorrect data submission due to stored data sets, consuming computational resources and time.

Innovation Solution

Process an image of a machine-readable identifier like a QR code to extract information and automatically populate fillable form fields, using pre-indexed regular expressions and conversion techniques to ensure correct formatting and secure data handling.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual data input is required for form filling, then data accuracy can be maintained, but user accessibility and efficiency deteriorate for users with limited dexterity or literacy

Engineering Contradiction:

Improveform filling accessibilityVSAvoiddata entry automation level

Core Design Contradiction:

Ease of operationVSExtent of automation

Solution Approach 1:

The patent replaces manual mechanical data entry with automated optical recognition. The system captures an image of a machine-readable identifier (QR code, barcode, etc.) and automatically extracts data, eliminating the need for users to manually type information into forms. This substitution of mechanical input with optical scanning and automated processing directly improves accessibility for users with limited dexterity or literacy while maintaining high automation levels.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces machine-readable identifiers (QR codes, barcodes) as an intermediary between the user and the form filling process. Instead of requiring direct manual input into form fields, users simply scan or provide an image of the identifier, and the system acts as an intermediary to extract and populate the form data automatically. This intermediary approach maintains data accuracy while dramatically improving user accessibility.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Productivity

If stored data sets are used for automatic form filling, then form filling speed increases, but data accuracy deteriorates due to incorrect data sets being inadvertently submitted

Engineering Contradiction:

Improveform filling speedVSAvoiddata submission accuracy

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent extracts data directly from the machine-readable identifier provided by the user at the moment of form filling, rather than relying on pre-stored data sets in memory. By extracting information fresh from the identifier (QR code, barcode) through image processing, the system eliminates the risk of selecting incorrect stored data sets while maintaining fast processing speeds. This extraction approach ensures data accuracy by using the actual identifier data rather than potentially erroneous cached data.

Inventive Principle:

Principle #2Taking out (Extraction)

3Adaptability or versatility

If multiple data sets are stored for different users, then data versatility improves, but system complexity and error potential increase

Engineering Contradiction:

Improvemulti-user data supportVSAvoiddata storage and management complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent extracts data directly from the machine-readable identifier at the time of use, eliminating the need for complex multi-user data storage systems. Instead of maintaining separate data sets for different users in memory, the system simply processes the identifier provided by the current user. This approach maintains versatility by supporting multiple users through the universal identifier mechanism while dramatically reducing system complexity by removing the need for user-specific data storage and selection logic.

Inventive Principle:

Principle #2Taking out (Extraction)

4Reliability

If manual editing of form data is required, then data accuracy can be verified, but computational resources and time are wasted

Engineering Contradiction:

Improvedata verification capabilityVSAvoidcomputational resource consumption

Core Design Contradiction:

ReliabilityVSLoss of energy

Solution Approach 1:

The patent substitutes manual verification and editing operations with automated data extraction and population. The system automatically extracts data from the machine-readable identifier and populates form fields without requiring user intervention. This automated mechanism maintains data accuracy through direct extraction from the source identifier while eliminating the computational resources and time that would otherwise be consumed by manual verification and editing processes.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20250252252A1Automatic form filling based on decoded information from machine-readable identifier

Publication Date: 2025.08.07 GOOGLE LLC

AI summary

Implementations relate to processing an image of a machine-read-able identifier (e.g., a QR code or other 2D barcode) to extract information that is encoded in the machine-readable identifier, and using the extracted information in automatically populating input fields of a fillable form that is being rendered at an application (e.g., a web browser application) of a computing device. Some implementations convert certain information, extracted from a machine-readable identifier, to a converted format and cause the converted format information to be populated in a corresponding input field in lieu of the certain information in its raw format that is extracted from the machine-readable identifier.