Optoelectronic Device for Printed Object Digital Identifier Generation

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Solution Overview

Problem

Current methods for authenticating and identifying printed products, such as banknotes, are prone to errors due to subjective human factors, leading to incorrect categorization and increased follow-up expenses, as they rely on manual assessment rather than objective technical criteria.

Innovation Solution

A smartphone or tablet device equipped with an optoelectronic detection system that captures and analyzes the brightness intensities of image elements to generate a digital identifier for printed products, using wavelet transforms and statistical features to objectively categorize copies based on their production series, thereby preventing misidentification.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual assessment methods are used for authentication, then human judgment can be applied, but errors occur due to subjective human factors leading to incorrect categorization

Engineering Contradiction:
Improveauthentication accuracyVSAvoidcategorization precision
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The patent replaces manual visual inspection with an automated optoelectronic detection system that captures images and uses wavelet transform algorithms to analyze printing characteristics. This substitution of mechanical human judgment with automated optical-mechanical-electronic systems eliminates subjective errors and provides consistent, objective authentication results.

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

Solution Approach 2:

The patent transforms the authentication process by changing from subjective visual parameters to objective digital parameters through wavelet transform analysis. The system extracts statistical parameters (mean, variance, skewness, kurtosis) from wavelet coefficients, converting qualitative human judgment into quantitative measurable data that enables precise automated categorization.

Inventive Principle:
Principle #35Parameter changes

2Ease of operation

If manual testing is used for identifying printed products, then flexibility in assessment is maintained, but follow-up expenses increase due to misidentification

Engineering Contradiction:
Improveassessment flexibilityVSAvoidfollow-up expenses
Core Design Contradiction:
Ease of operationVSLoss of energy

Solution Approach 1:

The authentication system performs self-service by automatically capturing images, processing them through wavelet transform, extracting features, and categorizing printed products without requiring manual intervention. The system independently completes the entire authentication workflow, reducing both operational complexity and the need for expensive follow-up verification.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system creates a digital copy of the printed product through optoelectronic imaging and processes this copy through wavelet analysis. This digital replication allows repeated analysis without handling the original item, reducing physical wear and enabling automated decision-making that prevents costly misidentification errors.

Inventive Principle:
Principle #26Copying

3Measurement precision

If wavelet transform and statistical analysis are used for digital identifier generation, then objective identification is achieved, but device complexity increases

Engineering Contradiction:
Improveidentification accuracyVSAvoidprocessing system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent implements a multi-functional integrated system where a single device performs image capture, wavelet transform, feature extraction, and categorization functions. The smartphone or computing device serves multiple purposes: optoelectronic detection, digital signal processing, statistical analysis, and decision-making, reducing the need for separate specialized equipment and managing complexity through consolidation.

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

4Reliability

If automated optoelectronic detection is implemented, then manual assessment errors are reduced, but implementation costs increase

Engineering Contradiction:
Improveauthentication reliabilityVSAvoidimplementation cost
Core Design Contradiction:
ReliabilityVSEase of manufacture

Solution Approach 1:

The patent uses disposable or readily available smartphone devices with built-in cameras instead of expensive dedicated authentication equipment. The system leverages the optoelectronic sensors already present in common mobile phones, eliminating the need for costly specialized hardware and making the technology accessible and cost-effective for widespread implementation.

Inventive Principle:
Principle #27Cheap short-living objects (Disposable)

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

Enables clear, objective identification and automatic categorization of printed products, reducing errors and costs associated with manual testing by using intrinsic characteristics to assign copies to specific production series, ensuring accurate differentiation between genuine and counterfeit items.

Implementation Method 1

detects the at least one printed image from the copy of the printed product and creates an image consisting of a plurality of discrete pixels from the detected printed image

Methodology Applied
Scientific EffectPhotoelectric Effect: Photoelectric Effect

Data Source

PatentEP4205091B1Device for generating a digital identifier of a copy of a printed object, said copy having at least one printed image, smartphone or tablet comprising said device, and method for using said device
Publication Date: 2024.07.17 KOENIG & BAUER AG
  • EP4205091B1 patent drawingFigure 1
  • EP4205091B1 patent drawingFigure 2
  • EP4205091B1 patent drawingFigure 3

AI summary

The invention relates to a device for generating a digital identifier of a copy of a printed object, said copy having at least one printed image. The device has at least one optoelectronic capturing device which captures the at least one printed image, generates an image consisting of a plurality of discrete pixels from the captured printed image, and ascertains at least the brightness intensity of each of the pixels. The device also has a unit which interacts with the optoelectronic capturing device and analyzes the brightness intensities of the pixels and which is designed to segment the surface of the captured image of the printed image into multiple fields, each of which consists of pixels of the image, and provide each field with position information. The aforementioned unit is additionally designed to ascertain a difference in respective brightness intensities from adjacent pixels in each of the fields, display the differences ascertained from the brightness intensities of adjacent pixels in the form of a frequency distribution, and in each frequency distribution calculate an average value, a standard deviation related to the respective average value, and the slope and curvature of each frequency distribution. The unit is also designed to store respective position information of each field together with the respective standard deviation, slope, and curvature calculated for each field as the digital identifier of the copy in question of the printed object in a storage device for all of the fields. The invention additionally relates to a smartphone or a tablet comprising said device and to a method for using same.