Depth-Based Digital Fingerprinting for Intrinsic Object Authentication
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Solution Overview
Problem
Existing digital fingerprinting methods primarily focus on surface features of objects, failing to effectively capture and utilize internal structural information for identification and authentication.
Innovation Solution
The development of depth-based digital fingerprinting technology, which involves acquiring image data of an object's interior, extracting characterizing digital fingerprints, and using these fingerprints for identification, authentication, tracking, and grading purposes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If extrinsic identifiers (labels, tags, barcodes) are applied to physical objects for identification, then identification capability is achieved, but the objects become vulnerable to damage, loss, theft, duplication, and counterfeiting
Solution Approach 1:
The object itself provides identification through its intrinsic structural features rather than relying on external identifiers. The digital fingerprint is derived from the object's own internal structure, making the object self-identifying and eliminating vulnerability to external identifier failures
Solution Approach 2:
The identification system extracts and utilizes the object's inherent internal structural features as unique identifiers, removing the need for extrinsic identifiers entirely. The digital fingerprint is created from the object's own structure rather than from external labels or tags
2Reliability
If extrinsic identifiers (labels, tags, holographic labels) are applied to physical objects, then identification is possible, but substantial costs are added to production and handling
Solution Approach 1:
The object's internal structure serves as the identification source, eliminating the need to purchase, apply, and manage external identifiers. This self-service approach removes the associated costs from production and handling processes
Solution Approach 2:
The system replaces expensive extrinsic identifiers with a cost-free intrinsic feature extraction process. The digital fingerprint is derived from the object's existing structure without requiring additional physical components
3Measurement precision
If digital fingerprinting focuses on surface features only, then identification is achieved, but internal structural information that could enhance discrimination is not captured
Solution Approach 1:
The system transitions from two-dimensional surface feature analysis to three-dimensional internal structural analysis. By capturing depth information and internal features, the digital fingerprint becomes more comprehensive and discriminative
Solution Approach 2:
The identification system segments the object analysis into multiple depth layers, capturing features from different internal planes rather than relying solely on the surface layer. This multi-layer approach extracts more discriminative information
Data Source
AI summary
Digital fingerprints include data indicative of interior features or structures of an object. The physical object may be rigid or malleable. The digital fingerprints may also include data indicative of features on an exterior surface of the object. Digital fingerprints may uniquely identify an object with respect to other objects, even with respect to other objects of a same type or class of objects. The technology may be relatively invariant to changes in scale, rotation, affine, homography, perspective, and illumination as between a reference digital fingerprint and a later acquired or generated digital fingerprint. Digital fingerprints may be used to authenticate an object as being a second instance or appearance of a previously digitally fingerprinted object.