Banknote Authentication Using Broken Fiber Cross-Section Analysis
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Solution Overview
Problem
Current methods for identifying and sorting items in industrial settings, such as laundry and banknote processing, face limitations due to manual labor inefficiencies, inaccuracies, and the longevity and cost issues with existing automated solutions like bar codes and RF chips, particularly in harsh environments and when dealing with photonically active materials that are altered by mechanical and chemical processes.
Innovation Solution
A system that uses photonically active materials embedded in articles, with a targeting and identification system that includes a stimulus source, excitation source, and detection system to illuminate and analyze these materials, employing algorithms to characterize and discriminate objects based on size and shape, and a 'search, point, shoot, and detect' approach to ensure accurate identification and sorting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If photonically active materials are embedded in banknotes for authentication, then authentication capability is improved, but the materials may be altered by mechanical and chemical processes during production, leading to misclassification
Solution Approach 1:
The patent changes the parameter being measured from fiber length to fiber cross-sectional area. This parameter remains stable even when fibers are broken during the paper-making process, as the cross-sectional properties of the fiber material itself are preserved. The algorithm characterizes fibers based on their cross-sectional area rather than length, allowing authentication to proceed reliably despite mechanical alterations to the fibers during banknote production.
2Productivity
If automated identification systems are implemented, then processing throughput is improved, but complexity of the system increases
Solution Approach 1:
The patent extracts and removes the broken fibers from the image analysis process through algorithmic filtering. The image processing algorithm identifies and excludes fibers that do not meet predetermined length criteria, effectively taking out the problematic broken fibers from consideration. This allows the automated system to process images quickly while maintaining accuracy by ignoring the altered fibers rather than requiring complex handling of them.
3Measurement precision
If image processing algorithms are used to identify security features, then authentication accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary filtering of fiber images based on cross-sectional area before conducting detailed authentication analysis. By pre-identifying and excluding broken fibers through simple cross-sectional measurements, the system reduces the number of fibers requiring complex spectral analysis, thereby maintaining high authentication accuracy while reducing overall processing time.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This system enhances processing efficiency and accuracy by tightly controlling the excitation of photonically active materials, reducing misclassification and labor costs, while maintaining high precision in identifying and sorting items, even in challenging industrial environments.
Implementation Method 1
illuminating the at least one security feature with light from a stimulus source; identifying a location of the at least one security feature by detecting an emission from the security feature
Implementation Method 2
directing an excitation source at the identified location; illuminating the at least security feature with light from the excitation source; detecting a further emission from the photonically active security feature in response to the light from the excitation source
Data Source
AI summary
A method and a system are disclosed for processing a banknote. The method includes providing a banknote having at least one photonically active security feature, the banknote being moved along a conveyance path; illuminating the at least one security feature with light from a stimulus source; identifying a location of the at least one security feature by detecting an emission from the security feature; directing an excitation source at the identified location; illuminating the at least security feature with light from the excitation source; and detecting a further emission from the photonically active security feature in response to the light from the excitation source. Further the process includes the step of analyzing the shape and size of each object within an image during the search phase to determine if the object has the expected physical attributes of the real feature.