Banknote Wear Detection via Brightness Segmentation
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Solution Overview
Problem
Existing ATMs lack an effective method to accurately determine the wear level of banknotes, leading to potentially worn or counterfeit notes being recycled as normal, as existing techniques cannot reliably assess the degradation of banknotes based on faded colors and ink concentration over time.
Innovation Solution
A worn banknote identification method that acquires an image of the banknote, converts it to grayscale, extracts a threshold value to divide pixels into bright and dark regions, calculates the difference in average brightness values, and compares this difference to a preset reference value to determine the wear level, thereby deciding whether to store the banknote in a reject box.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing ATM identification techniques are used, then banknotes can be identified for recycling, but worn banknotes cannot be accurately detected and may be wrongly recycled
Solution Approach 1:
The patent segments the banknote image into multiple regions (first region and second region) based on brightness thresholds. By dividing the image into distinct brightness zones, the system can independently analyze wear characteristics in different areas, improving the precision of wear level detection while maintaining reliable identification.
Solution Approach 2:
The patent changes the detection parameter from traditional physical inspection methods to optical brightness value analysis. By measuring brightness values of pixels and comparing them against reference values, the system achieves precise wear level detection without requiring physical handling or complex inspection equipment.
2Productivity
If banknotes are recycled without wear assessment, then processing efficiency is maintained, but worn banknotes may be distributed to customers causing security issues
Solution Approach 1:
The patent replaces mechanical/physical inspection methods with optical image analysis. By using an image sensor to capture banknote images and processing brightness values through algorithms, the system efficiently assesses wear levels without requiring physical handling, maintaining high processing efficiency while eliminating security risks associated with distributing worn banknotes.
3Measurement precision
If multiple inspection methods are implemented, then detection accuracy improves, but device complexity and cost increase
Solution Approach 1:
The patent uses an optical copy (image) of the banknote instead of direct physical inspection. By capturing the banknote as an image and analyzing brightness values from the image data, the system achieves accurate wear detection without requiring complex physical inspection mechanisms, sensors, or handling systems, thereby reducing device complexity and cost.
Data Source
AI summary
The present disclosure relates to a worn banknote identification method and an ATM (Automated Teller Machine) using the same, and more particularly, to a worn banknote identification method which acquires an image of a banknote inserted into an ATM, divides pixels of the acquired banknote image into a bright region and dark region depending on a brightness distribution of the banknote image, determines the wear level of the banknote by comparing a difference between the average brightness values of the two regions to a preset reference value, and separately stores the inserted banknote into a reject box depending on the wear level of the banknote, and an ATM using the same.