Security Printing Region Identification via Zoning Analysis
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Solution Overview
Problem
Current security printing technologies face challenges in efficiently identifying and authenticating unique regions of interest in images for brand protection, product tracking, and anti-counterfeiting, particularly in large datasets and variable data printing scenarios.
Innovation Solution
A system and method utilizing a segmentation system, secure database, and analysis system to identify regions of interest in images through zoning analysis, template matching, and strategic identification, enabling prioritization for various applications such as counterfeit detection and quality assurance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional security printing methods are used, then basic printing functionality is maintained, but the ability to efficiently identify and authenticate unique regions in large datasets is insufficient
Solution Approach 1:
The patent divides the printed image into multiple discrete regions or zones, each with unique characteristics. This segmentation allows the system to process and identify specific regions of interest efficiently within large datasets, improving both accuracy and speed by focusing analysis on distinct segments rather than processing entire images uniformly.
Solution Approach 2:
The patent assigns different properties or characteristics to different regions of the printed material. Each region has unique identifying features that can be locally analyzed and authenticated. This local differentiation enables efficient region identification and authentication by leveraging the distinct qualities of each zone rather than treating the entire print uniformly.
2Reliability
If variable data printing is used to enhance security, then authentication capability is improved, but the complexity of identifying and verifying unique regions increases
Solution Approach 1:
The patent segments the variable data into discrete, identifiable regions, each containing unique authentication information. This segmentation simplifies the verification process by breaking down complex variable data into manageable segments that can be systematically checked against expected patterns, reducing overall verification complexity while maintaining strong authentication.
Solution Approach 2:
The patent creates multiple copies or instances of region identification patterns across different printed materials. These replicated patterns serve as reference templates that simplify verification by providing known good examples against which to compare suspected counterfeit items, reducing the complexity of authentication decisions.
3Reliability
If multiple security features are integrated into printing, then anti-counterfeiting strength is enhanced, but the time required to process and analyze images increases
Solution Approach 1:
The patent divides security features into separate, analyzable regions, allowing the system to process and verify multiple security characteristics in parallel or through prioritized sequential analysis. This segmentation enables efficient handling of multiple security features by focusing analysis on the most critical regions first, reducing overall processing time while maintaining comprehensive anti-counterfeiting verification.
Solution Approach 2:
The patent implements security features with redundant or excessive identification information in certain regions, allowing the verification system to achieve sufficient authentication confidence through partial analysis of key regions rather than requiring exhaustive examination of all security features, thereby reducing processing time while maintaining strong anti-counterfeiting capability.
Data Source
AI summary
A system for enhancing security printing includes a segmentation system, a secure database in operative communication with the segmentation system, a secure registry in selective operative communication with the segmentation system, and an analysis system in operative communication with the segmentation system and the secure database, and in selective operative communication with the secure registry. The segmentation system performs zoning analysis on a scanned image to identifying a list of regions in the image. The secure database stores at least one of i) a template, or ii) prior zoning output specification. The secure registry stores region of interest information and information pertaining to strategies for identifying a region of interest. The analysis system identifies the region of interest utilizing at least one of the secure database or the secure registry.