Fractal Identification System for Secure Object Authentication
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Solution Overview
Problem
Existing identification technologies, such as barcodes and RFID, are vulnerable to damage, replication, and lack the ability to update or increase complexity, providing insufficient security for robust identification of objects or individuals.
Innovation Solution
A method utilizing mathematically generated fractal images displayed on devices, which can be read by cameras and processed to confirm authenticity, with adjustable layers and resolution to enhance security, and can be updated dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional barcodes or RFID tags are used for identification, then the identification system is simple to implement, but the security and robustness against replication and damage is insufficient
Solution Approach 1:
The patent transitions from traditional 1D/2D barcodes to fractal images that utilize self-similarity across multiple scales and dimensions. The fractal identification code embeds identification information in a way that maintains recognizability at different resolution levels, creating a multi-dimensional identification system that is significantly harder to replicate and damage-resistant.
Solution Approach 2:
The fractal identification code employs nested structures where the identification pattern contains self-similar sub-patterns at different scales. Each level of the fractal contains embedded information that can be recognized independently, allowing the system to verify identification even when parts of the image are damaged or viewed at different resolutions, similar to nested dolls where each contains the previous.
2Adaptability or versatility
If fixed identification markers are imprinted on devices, then the identification is permanent and stable, but the markers cannot be updated or changed once compromised
Solution Approach 1:
The patent implements a dynamic identification system where the fractal identification code can be regenerated and updated on demand. Unlike static printed barcodes, the fractal image can be dynamically generated with varying parameters (such as iteration depth, transformation matrices, or seed values) while maintaining the same core identification information, allowing updates without physical replacement of the marker.
Solution Approach 2:
The fractal identification system serves multiple functions: it can be displayed on screens, printed on various surfaces, transmitted digitally, and verified through multiple methods. The same identification code can adapt to different media and applications, providing both stability through mathematical consistency and adaptability through flexible deployment options.
3Reliability
If simple barcodes are used for identification, then the system is easy to manufacture and deploy, but the codes are easily copied and distributed providing no real security
Solution Approach 1:
The fractal identification code incorporates asymmetric mathematical transformations and non-uniform scaling factors that make each generated code unique and mathematically complex. The identification pattern uses asymmetric iteration parameters and transformation matrices that are computationally difficult to reverse-engineer, providing strong anti-counterfeiting protection while maintaining ease of generation through algorithmic processes.
Data Source
AI summary
In general, in some aspects, the subject matter of the present disclosure can be embodied in methods for confirming identity, in which the methods include: outputting a parameter by a reading device, the reading device adapted to read an image displayed on a display of a display device; receiving the parameter output by the reading device by the display device; generating a fractal image at least in accordance with the received parameter by the display device; displaying the generated fractal image on the display of the display device; imaging the displayed fractal image by the reading device; comparing the imaged fractal image to an expected fractal image generated by the reader at least in accordance with the parameter; and confirming that the imaged fractal image and the expected fractal image do not differ by more than a predetermined amount.