Mobile Currency Detection via Sensor Array and AI
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Solution Overview
Problem
Current solutions fail to effectively detect counterfeit currency, particularly for midsized retail customers and smaller businesses, as existing technologies do not address counterfeit coins and bills effectively, leading to significant financial losses due to undetected counterfeit circulation.
Innovation Solution
A portable counterfeit bill and coin detection system utilizing a mobile communications device with a processor and sensor array, coupled with a currency evaluation device, to determine currency parameters and compare them to authentic attributes, providing a warning for potentially counterfeit currency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional currency detection methods are used, then detection capability is limited, but device complexity and cost are low
Solution Approach 1:
The patent uses a mobile device as an intermediary between the currency evaluation device and the user. The mobile device captures images of currency, processes them through machine learning models, and provides detection results. This intermediary approach enables advanced detection capabilities while keeping the actual hardware (currency evaluation device) relatively simple and the user interface accessible through a familiar mobile device.
Solution Approach 2:
The patent replaces traditional mechanical/optical currency detection systems with an image-based machine learning system. Instead of using complex optical sensors, magnetic detectors, or ultrasonic devices, the system uses a mobile device camera to capture currency images and applies AI algorithms to detect authenticity, substituting mechanical detection with computational analysis.
2Measurement precision
If comprehensive currency attributes are measured, then detection accuracy improves, but measurement time increases
Solution Approach 1:
The system performs preliminary actions by pre-training machine learning models with extensive currency data before deployment. The mobile device captures multiple images of the same currency from different angles and lighting conditions in advance, building a comprehensive dataset for analysis. This preliminary data collection and model training enable faster real-time detection without sacrificing accuracy.
Solution Approach 2:
The system captures more images and data than strictly necessary (excessive action) to ensure comprehensive analysis. By taking multiple photographs from different angles and using various sensors simultaneously, the system gathers redundant information that improves detection accuracy while the machine learning model efficiently processes this excess data to produce timely results.
Data Source
AI summary
Currency inspection using mobile devices and attachments are provided herein, as well as methods of use. In some embodiments, an apparatus may be configured to provide selections of currencies to a user via a display of the apparatus, obtain currency attributes for a selected currency, receive currency parameters for suspect currency using a currency evaluation device that is communicatively coupled with the apparatus, the currency evaluation device having a sensor array that comprises one or more sensors that are each configured to determine at least one currency parameter, compare the currency parameters for the suspect currency to the currency attributes, and output a warning message if the suspect currency is potentially counterfeit.