Composite Object Authentication Using Multi-Region 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 often fails to provide accurate authentication.
Innovation Solution
A system that selects critical regions for authentication, specifies positional variance limits, and requires all identified regions to match within a tolerance for authentication, using digital fingerprinting and database querying to ensure object authenticity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
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 authentication process into multiple independent region checks. Instead of using a single random location, the system identifies and verifies multiple critical regions on the composite object. Each region is scanned and compared independently against reference data, ensuring that all essential components are validated. This segmentation approach maintains efficiency while significantly improving reliability by requiring all regions to match within specified tolerances.
2Reliability
If multiple critical regions are scanned and verified for authentication, then authentication reliability is improved, but the complexity of the authentication system increases
Solution Approach 1:
The patent implements preliminary action by pre-defining templates that specify which regions are critical for authentication and what content should be found in each region. These templates are created beforehand and stored in the system. During authentication, the system simply follows these pre-established guidelines to identify and verify regions, rather than requiring complex real-time analysis. This approach improves reliability through comprehensive verification while managing system complexity through pre-planned authentication protocols.
Solution Approach 2:
The patent manages complexity by changing parameters such as positional variance tolerance and region selection criteria. Instead of requiring exact matches at precise locations, the system allows for specified tolerances in position and content. This parameter-based approach provides flexibility in verification while maintaining reliability, as the system can adapt to normal variations without requiring overly complex matching algorithms.
3Measurement precision
If positional variance limits are enforced for region matching, then authentication accuracy is improved, but the tolerance for manufacturing variations is reduced
Solution Approach 1:
The patent resolves this contradiction by carefully selecting and adjusting the parameter of positional variance tolerance. The system defines specific tolerance thresholds that are strict enough to ensure accurate authentication of genuine objects but permissive enough to accommodate normal manufacturing variations. This parameter optimization allows the system to distinguish between acceptable variations and actual counterfeiting, maintaining both precision and adaptability.
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.