Banknote Handling Apparatus Multi-Currency Recognition Grouping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Banknote handling apparatuses face inefficiencies when dealing with multiple currencies due to the need for extensive data storage, leading to reduced processing speed as they compare banknotes against a large number of recognition data elements.
Innovation Solution
A banknote handling apparatus with a memory unit storing recognition data for multiple currencies, a selection unit that groups data elements based on predetermined criteria such as the number of denomination recognition data elements, total data amount, or recognition time, and a recognition unit that uses these grouped data elements for efficient banknote recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the banknote handling apparatus stores a great number of money recognition data elements to handle currencies of many nations, then the adaptability to handle multiple currencies is improved, but the processing speed lowers due to extensive comparison requirements
Solution Approach 1:
The patent divides the large set of money recognition data elements into multiple groups based on predetermined criteria such as currency type, denomination ranges, or recognition priority. The selection unit selectively activates only the relevant groups needed for the current transaction, thereby maintaining high adaptability across multiple currencies while keeping the active dataset small enough to preserve fast processing speeds.
Solution Approach 2:
The system dynamically adjusts which money recognition data elements are active based on the transaction context. The selection unit can switch between different sets of recognition data elements depending on the currency type being processed, allowing the apparatus to optimize processing speed for each specific currency while maintaining the capability to handle many different currencies overall.
2Measurement precision
If the banknote handling apparatus compares banknotes with a large number of money recognition data elements to accurately identify various currencies, then the measurement precision is improved, but the loss of time increases due to extensive processing
Solution Approach 1:
The system performs preliminary organization and grouping of money recognition data elements before the actual recognition process. By pre-categorizing data elements according to predetermined criteria and preparing the selection rules in advance, the apparatus can quickly retrieve and compare only the relevant data elements during transaction processing, thereby maintaining high identification accuracy while significantly reducing processing time.
Solution Approach 2:
Different groups of money recognition data elements are optimized for different currency types or recognition scenarios. Each group contains data elements with specific characteristics tailored to particular currencies, allowing the system to achieve high precision for each currency type while avoiding the need to process all data elements uniformly, thus reducing overall processing time.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
The object of the present invention is to provide a banknote handling apparatus and a banknote handling method capable of dealing currencies of a number of nations, and handling them at a predetermined speed or more. A banknote handling apparatus according to one embodiment of the present invention includes: a reception unit configured to take in, one by one, a banknote put thereinto; a transport unit configured to transport the taken-in banknote; a memory unit storing a plurality of banknote recognition data elements corresponding to currencies of a plurality of nations; a selection unit configured to select and group a plurality of the banknote recognition data elements stored in the memory unit, such that a predetermined criterion is met; and a recognition unit disposed on the transport unit, and configured to recognize the banknote taken in by the reception unit, based on the grouped banknote recognition data elements.