Object Authentication via Reflection Feature Spot Pattern Analysis
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Solution Overview
Problem
Existing methods for authenticating objects are often manual, invasive, or require specific hardware, making them inefficient and unreliable for determining the genuineness of products or materials.
Innovation Solution
A method and device that use imaging data from structured illumination patterns to characterize material properties of objects, involving the processing of reflection features to compare with reference patterns and determine the authenticity of the object.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual inspection methods are used for authentication, then reliability of authentication can be improved, but productivity and ease of operation deteriorate
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated optical characterization system that uses structured illumination patterns and image processing to determine material properties, thereby maintaining authentication reliability while significantly improving productivity and ease of operation
Solution Approach 2:
The system enables objects to be authenticated through their intrinsic material properties without requiring manual probing or external intervention, as the optical characterization automatically captures and analyzes reflection features to determine authenticity
2Reliability
If specific hardware is used for validating security features, then authentication reliability is improved, but device complexity and ease of operation worsen
Solution Approach 1:
The patent employs a universal optical characterization device that can authenticate various objects with different security features using the same structured illumination and image processing methodology, eliminating the need for multiple specialized hardware systems and reducing overall device complexity
Solution Approach 2:
The system replaces specialized validation hardware with a standardized optical imaging and processing setup that characterizes material properties through reflection features, simplifying the hardware requirements while maintaining authentication reliability
3Measurement precision
If manual probing is used to check material properties, then measurement precision is improved, but ease of operation and productivity deteriorate
Solution Approach 1:
The patent replaces manual probing with automated optical imaging that captures reflection features and uses processing units to determine material properties, achieving high measurement precision while dramatically improving ease of operation and productivity
Solution Approach 2:
The system creates an optical copy or representation of the object's reflection features through structured illumination imaging, allowing precise material property determination without physical contact or manual probing, thereby enhancing both accuracy and operational convenience
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for reliable and efficient authentication of objects without manual probing, using hand-held devices like smartphones, enabling the detection of counterfeits based on acquired imaging data.
Implementation Method 1
irradiating at least one illumination pattern comprising a plurality of illumination features onto the object
Implementation Method 2
receiving at least one first image comprising a spot pattern originating from the object in response to the irradiated illumination pattern
Data Source
AI summary
Disclosed herein is a method for characterizing material properties of an object, where the object has a form and including at least one material, the method includes receiving imaging data associated to the object, determining, by processing the received imaging data, at least one reflection feature corresponding to a spot in the first image: comparing, by processing the at least one reflection feature, the spot pattern comprised in the first image with reference spot patterns for obtaining a comparison result; and determining a material property of the object as a function of the comparison result. Further disclosed herein is a device with data processing capabilities and for implementing the method.


