Mobile Currency Verification Using Keypoint Image Analysis
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Solution Overview
Problem
Existing methods for mobile devices to verify payment cards and prevent counterfeit currency do not provide a solution that does not require hardware modification and cannot combine fraud prevention with real-time currency conversion and imaging processing.
Innovation Solution
A system and method using a mobile device's camera to capture images of currency and payment cards, conducting content analysis with keypoint descriptors, and transmitting reports for authenticity verification, while also converting currency based on real-time exchange rates without hardware modification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If hardware modification is implemented in mobile devices for fraud prevention, then security and authenticity verification capabilities are improved, but device complexity and manufacturing cost increase
Solution Approach 1:
The patent replaces hardware-based fraud prevention mechanisms with software-based image processing and analysis. The system uses the mobile device's existing camera to capture images of currency and payment cards, then applies content analysis algorithms, keypoint descriptors, and database comparisons to verify authenticity, eliminating the need for specialized hardware sensors or modifiers.
Solution Approach 2:
The system creates digital copies (images) of physical currency and payment cards using the mobile device camera. These images are then analyzed through content analysis and compared against database templates to verify authenticity, replacing the need for physical hardware verification mechanisms.
2Measurement precision
If comprehensive content analysis is performed on captured images, then authenticity verification accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-processing images to enhance relevant features, applying filters to highlight security elements, and pre-comparing against database templates. This preparation work is done before final authenticity determination, improving both accuracy and processing efficiency.
Solution Approach 2:
The content analysis process is divided into multiple segments: initial image capture, preprocessing, feature extraction using keypoint descriptors, database comparison, and final verification. This segmentation allows each step to be optimized independently, reducing overall processing time while maintaining accuracy.
3Adaptability or versatility
If real-time currency conversion is implemented, then financial transaction capability is improved, but system complexity and data requirements increase
Solution Approach 1:
The mobile device is designed to perform multiple functions: capturing images of currency and payment cards, analyzing their authenticity through content analysis, and converting currencies based on exchange rates. This multi-functionality consolidates what would otherwise require separate systems into a single device, managing complexity through integration.
Solution Approach 2:
The system uses exchange rate databases and conversion algorithms as intermediaries between the currency detection function and the final financial transaction capability. This intermediary layer handles the complexity of real-time conversion without requiring the core image analysis system to be overly complex.
Data Source
AI summary
A method, system, and computer program product for analyzing images of visual objects, such as currency and/or payment cards, captured on a mobile device. The analysis allows determining the authenticity and/or total amount of value of the currency and/or payment cards. The system may be used to verify the authenticity of hard currency, to count the total amount of the currency captured in one or more images, and to convert the currency using real time monetary exchange rates. The mobile device may be used to verify the identity of a credit card user by analyzing one or more images of the card holder's face and/or card holder's signature, card holder's name on the card, card number, and/or card security code.