Decorative Label Encoding With Controlled Visual Modifications

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Solution Overview

Problem

Existing methods for embedding information in decorative labels are limited in flexibility, reliability, and scalability, often requiring complex visual changes and are not suitable for mass production, while also restricting creative freedom.

Innovation Solution

A computer-implemented method using an encoder-decoder system with iterative optimization to embed information in decorative labels, utilizing a parametric family of encoder and decoder functions, particularly convolutional neural networks, to ensure reliable and flexible encoding and decoding, allowing for controlled visual modifications.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional methods are used to embed information in decorative labels, then the label can be produced, but the information embedding reliability is low and visual appearance is significantly affected

Engineering Contradiction:
Improveinformation embedding reliabilityVSAvoidvisual modification complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies parameter changes by modifying specific parameters of geometric primitives (position, size, color, shape) in the vector graphics representation to embed information. The encoder function systematically varies these parameters within defined modification rules to encode data while maintaining visual similarity to the original label.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent implements local quality by applying modifications only to specific geometric primitives within the label design. The encoder selectively modifies certain elements (lines, curves, shapes) while leaving others unchanged, allowing information embedding in localized regions without affecting the overall visual appearance of the label.

Inventive Principle:
Principle #3Local quality

2Loss of information

If complex visual modifications are applied to embed information, then information can be embedded, but the manufacturing process becomes less suitable for mass production

Engineering Contradiction:
Improveinformation embedding capabilityVSAvoidmass production suitability
Core Design Contradiction:
Loss of informationVSProductivity

Solution Approach 1:

The patent replaces mechanical/physical modification methods with computational processing. The encoder-decoder system uses software-based vector graphics manipulation to embed and retrieve information, eliminating the need for complex physical label modification processes and enabling efficient digital reproduction for mass production.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent applies preliminary action by pre-defining modification rules and encoder-decoder functions before production. The system prepares the vector graphics representation and encoding parameters in advance, allowing rapid generation of information-embedded labels without time-consuming post-production modifications.

Inventive Principle:
Principle #10Preliminary action

3Loss of information

If existing encoding methods are used, then information can be embedded, but the flexibility in label design is restricted

Engineering Contradiction:
Improveinformation embeddingVSAvoidlabel design flexibility
Core Design Contradiction:
Loss of informationVSAdaptability or versatility

Solution Approach 1:

The patent implements dynamics by making the encoding system adaptable and configurable. The encoder function can be configured with different modification rules, and the vector graphics representation can be dynamically adjusted to accommodate various label designs, information types, and decoding requirements, providing versatile design flexibility.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent applies universality by creating a general-purpose encoder-decoder system that can handle multiple types of decorative labels, various information formats, and different geometric primitive modifications. The system is designed to work with diverse label designs without requiring design-specific customization.

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

4Loss of information

If information is embedded in decorative labels, then the label contains data, but the visual appearance changes in a readily discernible manner

Engineering Contradiction:
Improveinformation capacityVSAvoidvisual appearance degradation
Core Design Contradiction:
Loss of informationVSObject-affected harmful factors

Solution Approach 1:

The patent applies preliminary anti-action by pre-defining modification rules that constrain the extent and nature of visual changes. The encoder is configured to make subtle parameter adjustments within acceptable thresholds, preventing readily discernible visual differences while still embedding sufficient information capacity.

Inventive Principle:
Principle #9Preliminary anti-action

Data Source

PatentUS12555175B2Method for embedding information in a decorative label
Publication Date: 2026.02.17 LEGO AS
  • US12555175B2 patent drawing
  • US12555175B2 patent drawing
  • US12555175B2 patent drawing

AI summary

A computer-implemented method for creating an encoder-decoder system for embedding information in a decorative label. The method includes defining a family of encoder functions and a family of decoder functions. Each encoder function of the family of encoder functions configured to encode information as a respective modification of a decorative label. Each decoder function of the family of decoder functions configured to decode an image of a modified decorative label into respective decoded information. The method includes applying an iterative optimization process to determine an optimized encoder-decoder pair. The optimized encoder-decoder air includes an optimized encoder function and an optimized decoder function. The optimized encoder function is selected by the iterative optimization process from the family of encoder functions and the optimized decoder function is selected by the iterative optimization process from the family of decoder functions.