Surface Microstructure Identification for Invisible Product Authentication
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Solution Overview
Problem
Existing methods for counterfeiting, tampering, and traceability rely on visible markings or complex encoding strategies, which are not suitable for mass-serialization and can be easily replicated, and lack efficient methods for identifying unique product features without physical markings.
Innovation Solution
Utilizing the unique microstructure of a product's surface, captured through optical imaging, to create a digital fingerprint for identification and traceability, employing a method that includes parameter setting, acquisition, and identification phases to correlate surface images with a reference database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If visible markings or complex encoding strategies are used for counterfeiting protection, then security against counterfeiting is improved, but the method becomes suitable for mass-serialization and resistance to replication deteriorates
Solution Approach 1:
The patent applies the self-service principle by utilizing the product's own inherent microstructure characteristics as the identification marker. Instead of applying external markings, the system captures and analyzes the natural, unique surface features already present on each product, eliminating the need for additional marking processes and enabling seamless integration into existing production lines.
Solution Approach 2:
The patent replaces mechanical marking systems (ink-jet printing, holograms, physical tags) with an optical imaging and digital analysis system. The identification is achieved through capturing optical images of the product surface and processing them algorithmically, substituting physical marking mechanisms with light-based detection and computational methods.
2Loss of information
If visible markings are used for product identification, then traceability is improved, but the method becomes easily replicated deteriorates
Solution Approach 1:
The patent applies the local quality principle by focusing on the unique microstructure characteristics at specific locations on the product surface. Each local region contains distinctive features (surface roughness, texture patterns, imperfections) that serve as the basis for identification, leveraging the inherent variability of material properties at the microscopic level.
Solution Approach 2:
The patent implements preliminary action by capturing and storing the unique microstructure signature of each product during or immediately after manufacturing. This creates a reference database of authentic product identifiers before any potential counterfeiting can occur, enabling later verification by comparing suspect items against the established reference.
3Productivity
If optical imaging of microstructure is used for identification, then speed and reliability of identification are improved, but the complexity of the system increases
Solution Approach 1:
The patent applies the universality principle by designing an optical imaging system that can identify multiple types of products across different industries through a common platform. The system captures microstructure images and uses general-purpose image processing algorithms that can be adapted to various materials and product types, eliminating the need for product-specific identification systems.
Solution Approach 2:
The patent uses copying by creating digital replicas of the product's unique microstructure. Instead of physically examining the original surface, the system captures optical images that serve as digital copies of the microstructure features, allowing for rapid analysis and storage without requiring physical handling or complex measurement apparatus.
4Shape
If no visible markings are used, then aesthetic quality and product simplicity are improved, but traditional identification methods become obsolete
Solution Approach 1:
The patent applies the another dimension principle by shifting the identification process from the macroscopic visible dimension to the microscopic dimension. The unique features used for identification are not visible to the naked eye but exist at the microstructural level, allowing the product surface to maintain its aesthetic appearance while still providing robust identification capabilities through optical imaging at higher magnification.
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, fast, and high-speed identification of products without visible markings, effectively detecting counterfeits and tracing items through unique microstructural patterns, applicable across various industries.
Implementation Method 1
an optical image of a surface of the product is obtained by means of an imaging device
Data Source
AI summary
The present application concerns the visual identification of materials or documents for tracking or authentication purposes. It describes methods to automatically authenticate an object by comparing some object images with reference images, the object images being characterized by the fact that visual elements used for comparison are non-disturbing for the naked eye. In some described approaches it provides the operator with visible features to locate the area to be imaged. It also proposes ways for real-time implementation enabling user friendly detection using mobile devices like smart phones.