Composite Information Bearing Device Data Density
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Solution Overview
Problem
Existing data bearing devices face challenges in increasing data density and security, as overtly and covertly coded data units often overlap, making them difficult to copy and recover effectively.
Innovation Solution
A composite information bearing device is designed with a first data bearing device and a second covertly coded data embedding pattern that overlap, where the pattern defining elements follow a spatial distribution rule, increasing data density and security by distributing pattern elements across a larger area, allowing for higher resolution and improved data recovery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If overtly coded data units and covertly coded data embedding patterns are overlapped to form a composite information bearing device, then data density increases and security improves, but the device complexity increases
Solution Approach 1:
The patent combines overtly coded data units and covertly coded data embedding patterns into a single composite information bearing device. The overt data units and covert patterns are superimposed on the same physical medium, allowing both data types to coexist and be read simultaneously or separately, thereby increasing data density without requiring separate physical carriers.
Solution Approach 2:
The covertly coded data embedding pattern is nested within the structure of the overtly coded data units. The covert pattern is embedded at a finer scale within the same spatial domain as the overt data, allowing one data structure to contain another, thus maximizing data capacity within the same physical footprint.
2Quantity of substance
If the number of pattern defining elements forming the ensemble is substantially higher than the number of data units, then data density increases, but the manufacturing precision requirements increase
Solution Approach 1:
The high-density pattern is segmented into an ensemble of individual pattern defining elements that are distributed across multiple data units. Each element is discrete and can be independently defined, allowing the high-density pattern to be constructed from manageable units rather than requiring monolithic precision across the entire pattern.
Solution Approach 2:
Different regions of the pattern are defined with locally optimized properties. The pattern defining elements are distributed non-uniformly across the data units, with higher concentration in regions requiring greater detail and lower concentration in regions where coarser resolution is acceptable, thereby reducing overall manufacturing precision requirements while maintaining high data density.
Data Source
AI summary
A composite information bearing device comprising a plurality of data units forming a data bearing device and an ensemble of pattern defining elements defining a data embedding spread pattern, wherein each data unit is in one of a plurality of digital states and at least some of the data units of a digital state are defined by the pattern defining elements, wherein the pattern defining elements are distributed following a spatial distribution rule, and the spatial distribution rule defines characteristic values of the spread pattern in spatial domain which are continuous values spread between a maximum value and a minimum value, and wherein the spatial distribution of the pattern defining elements of the ensemble follows the spatial distribution rule to the extent where the characteristic values are either above or below a selection threshold value which is a value between the maximum value and the minimum value.