Mobile Currency Valuation via Image Recognition
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Solution Overview
Problem
Valuable currency items often remain in circulation undervalued due to the lack of awareness among the general public about their potential value to collectors and enthusiasts, as manual valuation requires extensive research and access to multiple data sources, which is time-consuming and inaccessible to most people.
Innovation Solution
A method and system using a handheld mobile device with an image capture device and user interface to quickly identify currency items by capturing and processing images, determining image quality, and comparing them to a database to automatically determine denomination, date, and potential value, facilitating easy access to valuation information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual valuation methods are used, then valuation accuracy can be achieved through expert knowledge, but the process is time-consuming and inaccessible to most people
Solution Approach 1:
The patent replaces the manual mechanical process of researching currency values with an automated image recognition system. The system captures an image of the currency item, processes it through algorithms to identify denomination, date, and condition, then automatically retrieves valuation data from databases, eliminating the need for manual reference to published data and transforming expert knowledge into an accessible automated service.
Solution Approach 2:
The patent introduces an intermediary automated valuation system that bridges the gap between currency items and valuation information. This intermediary system includes image capture devices, processing algorithms, and database access that automatically connect users with accurate valuation data without requiring them to manually research multiple data sources.
2Productivity
If automated image recognition is used, then processing speed is improved, but image quality requirements increase complexity
Solution Approach 1:
The patent segments the image processing task into distinct components: initial image capture, quality assessment using Laplace filters, coordinate mapping (including polar to Cartesian conversion for coins), feature detection, and database matching. This segmentation allows each component to be optimized independently, managing complexity while maintaining high processing speed.
Solution Approach 2:
The patent performs preliminary image quality assessment and processing before the main valuation query. By pre-processing images to enhance quality and extract key features upfront, the system reduces the complexity of subsequent matching operations and ensures accurate results without requiring complex real-time processing during the actual valuation query.
3Measurement precision
If comprehensive data analysis is performed, then valuation accuracy is improved, but the system becomes more complex and requires multiple data sources
Solution Approach 1:
The patent merges multiple data sources and analysis functions into a single integrated valuation system. The system combines image capture, quality assessment, coordinate mapping, feature detection, and database querying into one unified process, allowing comprehensive data analysis without requiring users to manually access multiple separate data sources, thus improving accuracy while managing system complexity through integration.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables users to quickly and easily determine the value of currency items, transforming them into numismatists by providing quick and accurate identification and valuation, thus preventing valuable items from going unnoticed in circulation.
Implementation Method 1
a Laplace filter performs the digital processing, with the quality determination being based on a computation of the variances within the image pixels and identification of the maximum over pixel values
Implementation Method 2
A personal computing device is provided, preferably in the form of a hand held mobile phone. The computing device includes—or is connected to—an image capture device and a user interface. The image capture device is preferably a digital video camera.
Data Source
AI summary
A method and system is provided for determining the denomination and related data for a currency item using a personal computing device, such as a mobile phone. The device includes or is connected to an image capture device that is preferably a digital video camera. At least one image of a target currency item is captured then processed for image quality. A further processing of the image includes a coordinate mapping. A comparison is made between individual pixels of the processed image based on the assigned coordinate mapping with a database of reference currency images to determine the currency denomination. Additional processing of the currency image provides the date and other data regarding the target currency item. A market value for the target currency item is identified by reference to a valuation database using the data determined for the currency item.