Handheld Device Authentication of Diffractive Security Elements

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing methods for authenticating optically variable security elements, such as those used in documents and banknotes, are inadequate for spontaneous verification and are not practical for large-scale authentication due to reliance on visual inspection and the need for stationary systems, which are not suitable for individual on-site authentication.

Innovation Solution

A method using a hand-held device, such as a smartphone or augmented reality device, to record an image sequence of the security element and check for predetermined optical information using image recognition algorithms, allowing for reliable authentication anywhere and anytime, independent of permanent installations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If visual inspection is used to authenticate security elements, then the method is simple and requires no special equipment, but it is impractical for large-scale authentication and cannot reliably detect high-quality forgeries

Engineering Contradiction:
Improvesimplicity of authentication methodVSAvoidauthentication throughput
Core Design Contradiction:
Ease of operationVSProductivity

Solution Approach 1:

The patent replaces manual visual inspection with an automated image processing system that captures images of security elements and analyzes them using computer vision algorithms. This substitution enables high-throughput authentication while maintaining accuracy, as the system can process multiple images rapidly and detect subtle features invisible to human inspectors.

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

Solution Approach 2:

The patent introduces an image processing system as an intermediary between the security element and the authentication decision. This intermediary captures optical information, processes it through algorithms, and provides structured analysis results, enabling both high-speed processing and reliable detection of forgeries without requiring direct human visual inspection.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Productivity

If stationary laser-based authentication systems are used, then large numbers of objects can be authenticated quickly, but these systems are not suitable for spontaneous on-site verification of individual objects

Engineering Contradiction:
Improveauthentication throughputVSAvoidportability for on-site use
Core Design Contradiction:
ProductivityVSAdaptability or versatility

Solution Approach 1:

The patent creates an authentication system that serves multiple functions: it can process images from stationary setups for high-volume authentication and also accommodate mobile, on-site verification using standard digital cameras or smartphones. The image processing algorithms are designed to work with various imaging conditions, making the system universally applicable across different deployment scenarios.

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

Solution Approach 2:

The patent uses digital image copies of security elements as the basis for authentication rather than requiring direct optical analysis. By capturing images with standard cameras and analyzing them computationally, the system replicates the functionality of complex stationary systems while enabling portability and spontaneous verification in the field.

Inventive Principle:
Principle #26Copying

3Reliability

If complex optical analysis systems are deployed to reliably detect forgeries, then authentication accuracy improves, but the systems require permanent installations and cannot be used for spontaneous verification

Engineering Contradiction:
Improveforgery detection accuracyVSAvoidrequirement for permanent installations
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces complex optical analysis hardware with computational image processing methods. By using algorithms to analyze standard digital images, the system achieves high forgery detection accuracy without requiring specialized optical equipment or permanent installations, enabling deployment on portable devices like smartphones.

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

Solution Approach 2:

The patent creates digital copies of security elements through standard imaging and uses computational methods to extract authentication features. This approach captures the essential analytical capabilities of complex systems while eliminating the need for specialized hardware, allowing reliable forgery detection using ordinary digital cameras.

Inventive Principle:
Principle #26Copying

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 reliable and efficient authentication of security elements, enhancing protection against counterfeiting by allowing for spontaneous verification and large-scale authentication without the need for stationary systems, thereby improving the security of documents and products.

Implementation Method 1

Recording a sequence of images with at least one individual image of the security element using a sensor

Methodology Applied
Scientific EffectLight reflection and transmission: Reflection

Data Source

PatentEP3078004B1Method for the authentification of a security element
Publication Date: 2023.02.15 ADORSYS
  • EP3078004B1 patent drawingFigure 1~3
  • EP3078004B1 patent drawingFigure 4~6
  • EP3078004B1 patent drawingFigure 7~9

AI summary

The invention relates to a method for authenticating an optically variable security element (1), in particular a diffractive security element, said method involving steps: a) capturing an image sequence comprising at least one individual image of the security element (1) by means of a sensor (31), in particular of a hand-held device (3), preferably a smartphone, tablet or PDA; and b) verifying whether at least one piece of predefined optical information is included in at least one individual image of the image sequence.