Random Particle Security Labels for Unit-Level Product Authentication
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Solution Overview
Problem
The growing concern of counterfeit goods and gray market diversion in the supply chain makes it difficult to authenticate and track authentic products, especially as counterfeiting technologies become more sophisticated, posing risks to consumers and undermining legitimate businesses.
Innovation Solution
A system comprising unique signatures formed by random patterns of particles on labels, which are serialized and electronically linked to a database, allowing for authentication and tracking of goods at the individual unit level through imaging and comparison with stored data, using a combination of imaging systems, databases, and authentication centers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional tracking methods are used, then the system is simple to implement, but the system cannot effectively authenticate individual units and detect counterfeiting
Solution Approach 1:
The patent divides the tracking system into individual unit-level components, assigning each product unit a unique label with randomized security features. This segmentation enables authentication of individual units rather than bulk tracking, directly improving reliability while the modular implementation keeps complexity manageable
Solution Approach 2:
The system pre-generates unique labels with randomized security features before products enter the supply chain. This preliminary action ensures that authentication capability is built-in from the start, allowing immediate detection of counterfeits without requiring complex real-time analysis systems
2Reliability
If individual unit tracking is implemented, then counterfeiting and diversion are deterred, but the cost and complexity of the system increase
Solution Approach 1:
Each product unit carries its own unique label with embedded security features that enable self-authentication. The randomized patterns on labels serve as inherent security mechanisms that do not require external verification systems, thereby improving supply chain security without proportionally increasing system complexity
Solution Approach 2:
The system varies the security parameters (randomized particle patterns, flecks, or holographic elements) on each label individually. This parameter variation ensures that each unit is unique and secure, while the variation itself is achieved through simple manufacturing processes rather than complex systems
3Measurement precision
If randomized security features are used on labels, then authentication accuracy is improved, but the manufacturing precision requirements increase
Solution Approach 1:
The patent converts the potential harm of manufacturing variability into a benefit by intentionally randomizing security features on each label. The randomized particle patterns, flecks, or holographic elements embrace manufacturing tolerances rather than fighting them, achieving high authentication accuracy without requiring extreme manufacturing precision
Solution Approach 2:
The labels incorporate composite security features combining multiple elements (particles, flecks, holographic layers) that work together to create unique authentication patterns. This composite approach enhances authentication accuracy while allowing each component to be manufactured within standard tolerances
Data Source
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Figure 4A
AI summary
Systems and methods for identifying, tracking, tracing and determining the authenticity of a good are described herein. In some embodiments, a system includes an imaging system, a database, and an authentication center. The imaging system is configured to capture an image of a unique signature associated with a good at the good's origin. The unique signature can be, for example, a random structure or pattern unique to the particular good. The imaging system is configured to process the image of the good to identify at least one metric that distinguishes the unique signature from unique signatures of other goods. The database is configured to receive information related to the good and its unique signature from the imaging system, and is configured to store the information therein. The authentication center is configured to analyze the field image with respect to the information stored in the database to determine whether the unique signature in the field image is a match to the captured image stored in the database.