Package Authentication Using Origin Noise Level
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Solution Overview
Problem
Counterfeit products can enter the supply chain at various points, making it difficult for manufacturers to prevent counterfeiting using traditional methods like holograms or three-dimensional printing, as these can be replicated by sophisticated counterfeiters.
Innovation Solution
A method of authenticating packages by introducing identifying characteristics that create a 'noise' level, which is detected and compared to a predetermined origin noise level to verify authenticity, using a system that includes manufacturing, reading, and authentication modules to determine and store noise levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods like holograms or three-dimensional printing are used on packages, then product authentication capability is improved, but ease of replication by counterfeiters increases
Solution Approach 1:
The patent changes the parameter from visual authentication features (holograms, 3D printing) to acoustic authentication features (noise levels). By measuring and comparing noise level parameters generated during manufacturing, the system creates an authentication mechanism that is inherently difficult to replicate, as counterfeiters cannot easily reproduce the specific acoustic signatures of legitimate manufacturing processes.
Solution Approach 2:
The patent replaces mechanical/visual authentication systems (holograms, embossing) with an acoustic measurement system. Instead of relying on visual features that can be photographed and replicated, the system uses acoustic sensors to measure noise levels during manufacturing, creating an authentication mechanism based on physical process characteristics rather than static visual features.
2Reliability
If sophisticated authentication features are implemented, then counterfeiting deterrence is improved, but device complexity increases
Solution Approach 1:
The authentication system uses the manufacturing process itself to generate the authentication feature (noise level signature). The manufacturing equipment naturally produces acoustic emissions during operation, and these emissions are captured and stored as authentication data. This eliminates the need for separate authentication components, as the manufacturing process self-generates the security feature.
Solution Approach 2:
The system performs authentication data collection during the manufacturing process itself, before the product enters the supply chain. By measuring and storing the noise level signature at the point of creation, the system establishes authentication data in advance, simplifying later verification processes and eliminating the need for complex authentication hardware at distribution points.
3Object-affected harmful factors
If noise level measurement is used for authentication, then counterfeiting prevention is improved, but measurement precision requirements increase
Solution Approach 1:
The system uses feedback by comparing the measured noise level against a pre-stored reference noise level from legitimate manufacturing. This comparison provides immediate validation, and the system can adjust or flag measurements that deviate from expected ranges, ensuring accurate authentication without requiring extremely precise absolute measurements.
Data Source
AI summary
In a method of authenticating a package, an origin noise level of the package is determined based upon one or more identifying characteristics, where the origin noise level is a deviation from a normal condition caused by the one or more identifying characteristics. In addition, the package is authenticated based upon the origin noise level of the package.