ATM Note Validation Using Reversible Marking for Suspect Banknotes
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Solution Overview
Problem
Current self-service deposit terminals for bank notes face challenges in accurately distinguishing between genuine, counterfeit, and suspect notes, particularly when notes are damaged or have varying serial number visibility, leading to complex attribution and limited memory storage issues.
Innovation Solution
An automated teller machine (ATM) system that includes means for receiving and validating notes, transporting them to a purge bin, and marking counterfeit notes as unusable while using photo-chromic or thermo-chromic ink to mark suspect notes, allowing them to be traced back if genuine, along with user identification and deposit circumstances recorded for future verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If notes are captured for manual verification, then validation accuracy is improved, but device complexity and processing time increase
Solution Approach 1:
The patent extracts the manual verification step from the automated validation process by separating suspect notes into a distinct category that requires manual assessment, while automating the clear decisions for genuine and counterfeit notes. This reduces the burden on manual verification while maintaining high validation accuracy.
Solution Approach 2:
The system performs preliminary automated validation to categorize notes as genuine, counterfeit, or suspect before manual verification is needed. This preliminary action filters out clearly valid or invalid notes, reducing the volume requiring complex manual processing.
2Loss of information
If images of suspect notes are captured for later verification, then note attribution is improved, but memory storage capacity is exceeded
Solution Approach 1:
The patent extracts only the essential attribution information (serial numbers, denomination, transaction ID) from suspect notes rather than storing complete high-resolution images. This selective extraction maintains attribution capability while dramatically reducing storage requirements.
Solution Approach 2:
Instead of storing original note images, the system creates simplified digital representations containing only the key identifying features needed for attribution. This copying approach preserves essential information while optimizing storage efficiency.
3Reliability
If suspect notes are retained for manual verification, then validation accuracy is improved, but ATM availability decreases
Solution Approach 1:
The patent extracts suspect notes from the main processing flow into a separate verification pathway, allowing the ATM to continue normal operations while suspect notes are handled separately. This maintains high availability while preserving validation accuracy for suspect cases.
Solution Approach 2:
The system performs preliminary validation to identify suspect notes before they block the entire ATM operation. This allows the majority of transactions to proceed normally while only suspect cases are set aside for later manual verification.
4Reliability
If all deposited notes are validated through complex procedures, then counterfeit detection is improved, but processing time increases
Solution Approach 1:
The patent applies partial validation action by performing comprehensive validation only on suspect notes, while using faster validation methods for notes that are clearly genuine or counterfeit. This selective approach maintains high detection accuracy while reducing overall processing time.
Solution Approach 2:
The validation process is segmented into different levels: a quick initial validation for all notes, followed by detailed validation only for suspect cases. This segmentation allows most notes to be processed quickly while maintaining thorough verification where needed.
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
The system effectively separates and identifies counterfeit notes, renders suspect notes traceable without rendering them unusable, and manages storage efficiently by marking notes with reversible ink, ensuring accurate attribution and reducing the risk of ATM downtime.
Implementation Method 1
marking the suspect notes with a photo-chromic or thermo-chromic ink, so as to render them usable again if they are later proved to be genuine
Implementation Method 2
marking the suspect notes with a photo-chromic or thermo-chromic ink, so as to render them usable again if they are later proved to be genuine
Data Source
AI summary
A self-service deposit terminal for bank notes, in the deposited notes are subjected to an acceptance procedure in which the deposited notes are passed through a note validator and a decision is made regarding the validity of the notes, so as to differentiate between: a) authentic notes; b) counterfeit notes; and c) suspect notes. Reject notes are then separated from authentic notes and diverted to a purge bin. On route to the purge bin counterfeit notes are marked, so as to render them unusable and suspect notes are marked without rendering them unusable.