Mark Authenticity Verification Using Unintentional Artifacts
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current anti-counterfeiting technologies are complex and require additional equipment and materials, making it difficult to efficiently determine the genuineness of marks, especially since counterfeiters often replicate labeling and barcodes effectively.
Innovation Solution
A computing device uses unintentionally-produced artifacts within a genuine mark to generate an electronic signature, which is then compared to candidate marks by deriving hash identifiers from measured metrics, allowing for efficient verification of mark authenticity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional anti-counterfeiting technologies (codes, patterns, microfibers, microdots) are used, then mark authenticity can be verified, but device complexity and manufacturing cost increase significantly
Solution Approach 1:
The patent extracts and utilizes unintentionally-produced artifacts that naturally occur during mark creation (such as printing variations, positioning deviations, and manufacturing imperfections) as authentication features. Instead of adding complex anti-counterfeiting elements, the system isolates and leverages the inherent unique characteristics already present in genuine marks, thereby verifying authenticity without increasing device or production complexity
Solution Approach 2:
The genuine mark serves its own authentication function through its inherent artifacts. The mark's own manufacturing imperfections and natural variations become its unique identifier, eliminating the need for separate anti-counterfeiting equipment or materials. The system uses the mark's self-contained characteristics to verify its own authenticity
2Reliability
If all measured metrics are compared to determine mark genuineness, then verification accuracy is high, but computational time and resources increase
Solution Approach 1:
The system extracts and derives hash identifiers from a carefully selected subset of the most significant measured metrics rather than processing all available data. By identifying and isolating the key characteristics that most strongly indicate authenticity, the system achieves high verification accuracy while dramatically reducing computational requirements and processing time
Solution Approach 2:
The verification process is segmented into two stages: first comparing hash identifiers derived from selected metrics for quick filtering, and only then proceeding to compare full signatures for candidates that pass the initial filter. This segmentation allows the system to efficiently eliminate non-matching marks without performing computationally intensive full comparisons on all candidates
Data Source
Figure 1
Figure 2A
Figure 2B
AI summary
The present disclosure is generally directed to a method and computing device for determining whether a mark is genuine. According to various embodiments, a computing device (or logic circuitry thereof) uses unintentionally-produced artifacts within a genuine mark to define an identifiable electronic signature, and extracts certain location identifiers corresponding to certain measured features of the signature in order to enhance the ease and speed with which numerous genuine signatures can be searched and compared with signatures of candidate marks.