Aesthetic QR Code Generation with Zone Segmentation

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Solution Overview

Problem

The widespread adoption of QR codes is hindered by the need for encoded instructions to follow regimented protocols, which can be disrupted by aesthetic designs, interfering with smartphone scanning and interpretation.

Innovation Solution

A software platform that generates QR codes with aesthetic designs while maintaining reliability by dynamically adjusting module patterns, error correction levels, and environmental zones to ensure scannability and readability, using machine learning techniques and computational aesthetic techniques to balance design choices with scanning efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Shape

If aesthetic designs are applied to QR codes, then visual appeal and customization are improved, but scan reliability and interpretation accuracy deteriorate

Engineering Contradiction:
Improveaesthetic designVSAvoidscan reliability
Core Design Contradiction:
ShapeVSReliability

Solution Approach 1:

The QR code is divided into functional zones: a data zone containing encoded instructions that must remain regimented for reliable scanning, and an environmental zone surrounding it where aesthetic designs can be applied. This segmentation allows aesthetic customization without interfering with the scan reliability of the core data zone.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Different parts of the QR code are assigned different qualities: the data zone maintains strict protocol adherence for machine readability, while the environmental zone allows creative freedom for aesthetic design. This local differentiation resolves the contradiction by applying regimentation where needed and creativity where permitted.

Inventive Principle:
Principle #3Local quality

2Reliability

If regimented protocols are strictly followed, then scan reliability is improved, but design flexibility and aesthetic appeal deteriorate

Engineering Contradiction:
Improvescan reliabilityVSAvoiddesign flexibility
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The QR code structure is segmented into a data zone requiring strict protocol adherence for reliable scanning, and an environmental zone that provides design flexibility. This allows the system to simultaneously achieve scan reliability through regimented data encoding and design adaptability through customizable environmental elements.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The environmental zone serves multiple functions: it provides aesthetic customization, brand identification, and visual appeal while not interfering with the core scanning function. This multi-functionality resolves the contradiction by adding design versatility without compromising scan reliability.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Shape

If aesthetic modifications are made to QR code modules, then visual appeal is improved, but encoding accuracy and interpretation precision deteriorate

Engineering Contradiction:
Improvevisual appealVSAvoidencoding accuracy
Core Design Contradiction:
ShapeVSManufacturing precision

Solution Approach 1:

The QR code is segmented into a data zone where encoding precision must be maintained and an environmental zone where aesthetic modifications can occur. Modules in the data zone follow regimented protocols for accurate encoding, while modules in the environmental zone can be aesthetically modified without affecting interpretation precision.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Different precision requirements are applied locally: the data zone maintains high encoding accuracy with standardized module designs, while the environmental zone allows aesthetic variations. This local quality differentiation enables visual appeal through design modifications without compromising the manufacturing precision of the functional data zone.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS11797810B2Machine-readable label generator
Publication Date: 2023.10.24 DTX CO
  • US11797810B2 patent drawing
  • US11797810B2 patent drawing
  • US11797810B2 patent drawing

AI summary

Software tools disclosed herein may allow a user to enter design choices that alter an aesthetic appearance of a machine-readable label such that modules included in the label deviate from a standardized definition for the modules. Such alterations may include changes in size, color and orientation of modules. The alterations may allow a user to create machine-readable labels having unique aesthetic appearances. A software engine may ensure that, despite the aesthetic design choices entered by a user, the generated machine-readable label is reliably scannable.