Image Management System for Secure UID Detection
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Solution Overview
Problem
Cameras in secure environments pose a security risk due to the potential for recording sensitive images, and existing solutions that disable image capture render them unusable for locating part marks or Unique Item Identifiers (UIDs), necessitating improved image management techniques.
Innovation Solution
Implementing a method that automatically saves or displays only the machine-readable two-dimensional code or its representation, excluding the non-code zone, and utilizing a UID Checker to prevent random image storage, disable live video modes, and lock down camera settings to ensure secure image handling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If cameras are disabled in secure environments to prevent recording sensitive images, then security risk is reduced, but the camera becomes unusable for locating part marks or UIDs
Solution Approach 1:
The system extracts only the machine-readable code portion from the captured image and excludes the non-code zone (which may contain sensitive information) from storage and display. This allows the camera to maintain its code detection functionality while preventing unauthorized access to sensitive images.
Solution Approach 2:
The image processing system segments the captured image into code-containing regions and non-code zones, then selectively processes only the code regions for storage and display. This segmentation enables the camera to fulfill its UID detection purpose while eliminating security risks from sensitive areas.
2Measurement precision
If complete images are stored for UID detection, then code location accuracy is improved, but security risk increases due to potential exposure of sensitive information
Solution Approach 1:
The system extracts only the necessary code-containing portion from the complete image, achieving sufficient precision for UID detection while removing sensitive non-code information that poses security risks.
Solution Approach 2:
The system applies different quality levels to different image regions: high-quality processing is applied to code-containing regions for accurate detection, while non-code regions are excluded or degraded, optimizing both detection precision and security.
3Measurement precision
If image processing is performed on complete images, then code detection accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system extracts only the code-containing regions from complete images, significantly reducing the data volume that requires processing while maintaining sufficient accuracy for UID detection. This eliminates unnecessary processing of large non-code areas.
Solution Approach 2:
The system performs processing only on the necessary code-containing portions of images rather than complete images, achieving sufficient detection accuracy with reduced computational effort and faster processing times.
Data Source
AI summary
Certain exemplary embodiments can provide a method comprising, responsive to a determination that a machine-readable two-dimensional code has been identified in a first image, said first image comprising a first plurality of pixels defining said machine-readable two-dimensional code and second plurality of pixels defining a non-code zone, automatically causing a saving or displaying of a second image that comprises said machine-readable two-dimensional code or a representation of said machine-readable two-dimensional code and that excludes said non-code zone.