Coin Processing System Reject Recharacterization
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Solution Overview
Problem
Coin processing machines face challenges in accurately distinguishing between genuine and counterfeit coins, as well as coins from different countries, leading to false rejects and increased customer dissatisfaction due to erroneous characterization of genuine coins as counterfeit or unfit.
Innovation Solution
The system employs a dual-mode operation for coin processing, with initial high sensitivity to detect invalid coins and subsequent analysis of reject coins using reduced sensitivity to recharacterize misclassified coins, crediting users for genuine coins and removing counterfeit and stranger coins from circulation, while utilizing an auxiliary authentication device for detailed analysis of rejected coins.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If high sensitivity is used to detect invalid coins, then counterfeit and stranger coins are effectively detected, but genuine coins are falsely rejected
Solution Approach 1:
The system dynamically adjusts sensitivity levels between two modes: a first mode with increased sensitivity for detecting invalid coins, and a second mode with reduced sensitivity for recharacterizing rejected coins. This dynamic adjustment resolves the contradiction by applying high sensitivity only when necessary for detection, then reducing it to prevent false rejects during recharacterization.
Solution Approach 2:
The coin processing is segmented into two distinct passes: a first pass using high sensitivity to identify potential invalid coins, and a second pass using reduced sensitivity to recharacterize the rejected coins. This segmentation allows the system to benefit from high sensitivity detection while mitigating its harmful effect of false rejects through subsequent recharacterization.
2Ease of operation
If rejected coins are recharacterized with reduced sensitivity, then false rejects are minimized, but detection precision may be compromised
Solution Approach 1:
The system performs preliminary detection with high sensitivity in the first pass to identify all potential invalid coins before recharacterization. This preliminary action ensures that no counterfeit or stranger coins are missed, while the subsequent recharacterization with reduced sensitivity focuses only on coins that already failed the initial detection, thereby maintaining precision while improving ease of operation.
Solution Approach 2:
The rejected coin group acts as an intermediary between the first high-sensitivity detection pass and the final acceptance decision. By recharacterizing coins in this intermediate group with reduced sensitivity, the system resolves the contradiction between detection precision and customer satisfaction, as the intermediary recharacterization step prevents false rejects while the initial detection maintains precision.
Data Source
AI summary
Currency processing systems, coin processing machines, computer-readable storage media, and methods of managing processed coins are presented herein. A method is presented for managing coins processed by a currency processing system. The method includes: receiving a batch of coins by the currency processing system; feeding the coins into a coin processing unit which includes one or more coin discriminating sensors; sorting the batch of coins into genuine fit target coins and reject coins; sorting the reject coins into a plurality of reject groups, each of which corresponds to a respective category of rejected coins; analyzing at least one of the reject groups to determine if any genuine target coins were mischaracterized and erroneously sorted into that reject group; and, crediting a user of the currency processing system for any genuine target coins in the reject group determined to have been mischaracterized and erroneously sorted.