Double Gauss Lens System for Microscopic Texture Authentication
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Solution Overview
Problem
Current technologies for authenticating products, such as holograms, RFID tags, and microprints, have limited success in preventing counterfeiting, resulting in significant financial losses worldwide.
Innovation Solution
A lens system with a Double Gauss architecture and a specific configuration of lenses, capable of capturing microscopic textures, is used to authenticate objects by generating local and global descriptors for verification, which can be compared to stored information to determine authenticity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional authentication technologies (holograms, RFID tags, microprints) are used, then authentication functionality is provided, but they have limited success in preventing counterfeiting and result in significant financial losses
Solution Approach 1:
The patent extracts and utilizes naturally occurring microscopic texture patterns that are inherently present in physical objects (such as paper fibers, fabric weaves, material grain) rather than applying artificial authentication features. These extracted microscopic textures serve as unique authentication identifiers that are extremely difficult to replicate, directly addressing the counterfeiting problem by using properties that cannot be easily copied.
Solution Approach 2:
The patent changes the parameter of authentication from macroscopic features (visible to naked eye) to microscopic features (requiring specialized imaging). By capturing and analyzing texture patterns at the microscopic level, the system creates authentication markers that are invisible to casual observation but can be verified through the specialized imaging device, thereby preventing counterfeiting.
2Measurement precision
If high-resolution microscopic texture capture is implemented, then authentication accuracy is improved, but device complexity increases
Solution Approach 1:
The patent employs a Double Gauss lens architecture that is a well-established, standardized optical design used in many applications. This universal lens type provides high-resolution imaging capabilities while benefiting from extensive existing manufacturing infrastructure and design knowledge, thereby achieving high measurement precision without proportionally increasing device complexity.
Solution Approach 2:
The patent captures microscopic texture patterns as digital images, creating a replicable digital representation of the physical texture. This digital copy can be stored, transmitted, and compared without requiring the physical object to be present, enabling authentication through data comparison rather than physical inspection, thus reducing the complexity of handling and analyzing physical samples.
3Reliability
If specialized lens systems are used for microscopic texture capture, then authentication reliability is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically captures microscopic texture images and performs authentication comparisons without requiring manual intervention for image acquisition or analysis. The device autonomously processes the authentication task, making it easy to operate while maintaining high reliability through automated image capture and pattern recognition algorithms.
Solution Approach 2:
The patent pre-enrolls authentic objects by capturing and storing their microscopic texture patterns in a database before authentication is needed. This preliminary action creates a reference library of genuine textures, allowing rapid authentication by simply comparing new images against the stored patterns, thereby simplifying the operational process while maintaining high accuracy.
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
The system effectively verifies the authenticity of objects by matching microscopic texture patterns, providing a high-resolution, portable, and user-friendly solution for various products, including luxury goods, pharmaceuticals, and paper documents, with minimal distortion and high spatial resolution.
Implementation Method 1
The FOV can be about 12 mm×9 mm. The resolution at the edge(s) of the lenses can be about 100 lp/mm
Implementation Method 2
An exemplary lens arrangement can be provided that can include a plurality of lenses configured to provide a field of view
Data Source
AI summary
An exemplary lens arrangement can be provided that includes a plurality of lenses configured to provide a field of view (FOV) of between about 9 mm×6 mm to about 15 mm×12 mm, a resolution at at least one edge of the lenses of between about 40 lp/mm to about 100 lp/mm, and a distortion between about 0.1% to about 1%.