Composite Object Authentication Using Region-Specific Digital Fingerprints
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Solution Overview
Problem
Existing digital fingerprinting methods for authenticating composite objects are unreliable due to the complexity of these objects, as simple matching of random locations does not provide sufficient authentication.
Innovation Solution
A system that selects specific regions of a composite physical object for authentication, processes digital fingerprints of these regions, and compares them with a database of reference objects within a tolerance to determine authenticity, ensuring multiple regions match correctly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If simple matching of random locations is used for authentication, then the authentication process is fast and simple, but the reliability of authentication deteriorates for composite objects
Solution Approach 1:
The patent divides the composite object into multiple distinct regions, each with its own template and authentication criteria. Instead of treating the object as a whole, the system segments it into manageable parts (regions of interest) that can be independently analyzed and matched against stored templates, thereby improving reliability without excessive complexity
Solution Approach 2:
The patent applies different authentication strategies to different regions of the composite object based on their importance and characteristics. Critical regions have stricter matching criteria and tolerance thresholds, while less critical regions have more flexible criteria. This localized approach ensures high reliability for essential components while maintaining operational simplicity
2Reliability
If multiple regions are required to match for authentication, then authentication reliability improves, but the complexity of the authentication system increases
Solution Approach 1:
The authentication system is segmented into modular components: region identification modules, template storage modules, image processing modules, and matching evaluation modules. Each module handles a specific aspect of multi-region authentication, making the overall complex system manageable and maintainable through clear separation of concerns
Solution Approach 2:
The patent creates a universal authentication framework that can handle multiple regions with different characteristics using the same core matching engine. The system accommodates various object types, region configurations, and tolerance criteria through a unified template-based approach, reducing complexity by avoiding the need for separate specialized systems
3Measurement precision
If strict matching criteria are applied to all regions, then authentication precision improves, but the processing time increases
Solution Approach 1:
The patent implements region-specific tolerance thresholds and matching criteria based on the importance and variability of each region. Critical regions with stable characteristics use strict matching criteria for high precision, while regions prone to natural variation use more flexible criteria, optimizing the balance between precision and processing speed for each region
Solution Approach 2:
The system applies full strict matching criteria only to critical regions that require high precision, while using relaxed criteria for non-critical regions. This partial application of stringent matching reduces overall processing time while maintaining sufficient precision for authentication decisions
Data Source
AI summary
A system comprises a combination of digital fingerprint authentication techniques, processes, programs, and hardware to facilitate highly reliable authentication of a wide variety of composite physical objects. “Composite” in this case means that there are distinct regions of the object that must be authenticating individually and in tandem to authenticate the entire object. Preferably, a template is stored that defines for a class of objects what regions must be found, their locations, optionally semantic content of the regions, and other criteria. digital fingerprinting is utilized to locate and attempt to match candidate regions by querying a database of reference object records.