Banknote Storage Loss Detection Using Logical-Physical Count Comparison
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Solution Overview
Problem
Existing cash handling systems face challenges in detecting cash loss promptly and accurately, leading to difficulties in improving security and efficiency in cash management due to time-consuming manual inspections and limitations in tracking banknote movements.
Innovation Solution
A cash handling apparatus that calculates increases or decreases in banknote storage based on entrance and exit information, combined with physical quantity variations, to detect potential cash loss by comparing logical and physical storage amounts, and provides real-time notification of suspicious activities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If close inspection operation is conducted to detect cash loss, then accuracy of loss detection is improved, but time consumption and work burden increase
Solution Approach 1:
The patent uses a counting machine to create a digital copy (data) of the banknote quantity without physically handling the actual banknotes. The imaging unit captures images of banknotes in the stacker, and the counting machine processes these images to determine the number of banknotes, replacing the need for manual physical counting while maintaining accuracy.
Solution Approach 2:
The patent replaces the manual mechanical counting process with an automated optical and computational system. Instead of employees physically counting banknotes, the system uses imaging units to capture banknote images and a counting machine with neural network processing to automatically determine quantities, eliminating manual labor and time consumption.
2Measurement precision
If close inspection operation is conducted to detect cash loss, then accuracy of loss detection is improved, but work burden increases
Solution Approach 1:
The system performs self-inspection by automatically capturing images of banknotes in the stacker and processing them through the counting machine. The apparatus inspects its own cash storage without requiring external human intervention, reducing work burden while maintaining detection accuracy through automated imaging and neural network-based counting.
Solution Approach 2:
The imaging unit creates digital copies of banknotes for inspection purposes, allowing the system to analyze banknote quantities and detect losses without physically disturbing or handling the actual cash. This copying approach eliminates the need for employees to manually handle and count banknotes, significantly reducing work burden.
3Measurement precision
If manual counting of banknotes is performed, then accuracy of banknote quantity verification is improved, but time consumption and labor requirements increase
Solution Approach 1:
The patent replaces manual mechanical counting with an automated optical imaging and neural network processing system. The imaging unit captures images of banknotes, and the counting machine uses machine learning algorithms to accurately determine the number of banknotes in each image and across multiple images, achieving high accuracy without manual labor and significantly improving productivity.
Solution Approach 2:
The system enables continuous monitoring of banknote quantities in the stacker by automatically capturing images and processing them through the counting machine. This continuous automated verification process eliminates the need for periodic manual inspections, maintaining constant accuracy verification while improving overall cash management efficiency and productivity.
Data Source
AI summary
A cash handling apparatus includes, a banknote storage that stores banknotes, a memory, and a processor coupled to the memory and configured to, calculate a first increase or decrease on the basis of information on entrance and exit of banknotes to and from the banknote storage, calculate a second increase or decrease on the basis of physical quantity that varies according to the number of banknotes stored in the banknote storage, and detect possibility of banknote loss on the basis of the first increase or decrease and the second increase or decrease.