Raster Surface Security Feature Verification
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Solution Overview
Problem
Existing methods struggle to effectively verify the authenticity and genuineness of objects with visually hidden or superimposed security features, particularly those printed in raster form, as these features are difficult to discern and reproduce.
Innovation Solution
A method involving a digital image analysis of the raster surface using a smartphone, which reconstructs the raster structure by determining the positions, sizes, and brightness variations of raster elements, allowing for the identification of hidden security features and distinguishing authentic from forged patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If security features are made visually hidden or superimposed on other features, then security reliability is improved, but detection difficulty increases
Solution Approach 1:
The patent applies local quality by varying the optical properties (brightness, size, color) of individual raster elements at specific positions to encode security information. This allows the security feature to be embedded within the visual pattern rather than being a separate visible element, making it harder to detect and reproduce while maintaining reliability.
Solution Approach 2:
The patent embeds a hidden security feature within a visible visual pattern by nesting the security information inside the raster structure. The security feature is encoded as subtle variations in raster elements that are contained within the broader visual design, making it difficult to detect without specific analysis methods.
2Reliability
If raster elements are varied in position, size, and brightness to encode security features, then security feature reliability is improved, but manufacturing precision requirements increase
Solution Approach 1:
The patent uses parameter changes by systematically varying the position, size, and brightness of raster elements to encode security information. These controlled variations create a unique fingerprint that is difficult to reproduce, improving reliability while the variations are applied within manufacturing tolerances through algorithmic generation.
Solution Approach 2:
The patent applies preliminary action by pre-calculating and embedding the security features during the design and printing process. The security information is encoded into the raster structure before production, ensuring that the precise positional and brightness variations are built into the object from the start rather than requiring post-manufacturing adjustment.
3Device complexity
If security features are embedded within visual patterns rather than separated, then device complexity is reduced, but detection precision requirements increase
Solution Approach 1:
The patent merges the security feature with the visual pattern by encoding security information within the raster elements of the visual design. This combines what were previously separate functions (visual display and security encoding) into a single integrated structure, reducing overall device complexity while requiring precise digital image analysis for detection.
Data Source
AI summary
A method for checking a surface of an object, imprinted and/or structured in raster form, includes: a) using a digital image, which reproduces a replica of the surface, b) checking and/or determining a property of the surface or the replica using the digital image and/or the replica, and c) outputting a result with reference to the property. Step b) includes constructing and/or reconstructing a raster made from raster elements, using the digital image and/or the replica in which at least one raster element parameter can assume two or more, differently large size, brightness, and/or color parameter values, depending on the position of the corresponding raster element. The surface property is checked and/or determined as a function of the differently large parameter values and/or of the distribution of these differently large parameter values on the raster elements, and the result is output in Step c).