Coin Authentication Using Multi-Angle Optical Imaging
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Solution Overview
Problem
Existing coin authentication systems, such as vending machine coin acceptors, face challenges in accurately differentiating between coins of the same alloy or family, and fail to recognize plated steel coins, leading to inefficiencies in identification and sorting.
Innovation Solution
A method and apparatus that capture an image of a coin, locate a unique acquisition area using a landmark, and generate a digital representation of this area, incorporating both common and unique features, which can include structural, chemical, or physicochemical characteristics, to facilitate authentication and differentiation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electromagnetic signal analysis is used to differentiate coins, then coin identification is enabled, but accurate differentiation between coins of the same alloy or family fails
Solution Approach 1:
The patent segments the coin surface into multiple regions and captures images at multiple angles (0°, 45°, 90°, 135°). By dividing the authentication process into multiple viewing segments, the system captures comprehensive surface features including reliefs, engravings, and microscopic patterns that electromagnetic methods miss, enabling accurate differentiation of coins with identical alloy compositions.
Solution Approach 2:
The patent transitions from electromagnetic field analysis to optical imaging in a different dimensional space. By capturing two-dimensional images at multiple angular dimensions and combining them to create a comprehensive surface map, the system accesses visual information about surface topology, reliefs, and patterns that are invisible to electromagnetic sensors, thereby achieving reliable differentiation of same-alloy coins.
2Measurement precision
If electromagnetic coils are used for coin authentication, then material differentiation is achieved, but plated steel coins cannot be recognized
Solution Approach 1:
The patent replaces electromagnetic detection with optical imaging and image processing. By using cameras to capture visual surface characteristics and applying computational analysis of patterns, reliefs, and engravings, the system detects plated steel coins through their visual surface features rather than relying on electromagnetic properties that fail to distinguish plated from solid metal.
Solution Approach 2:
The patent changes the detection parameter from electromagnetic characteristics to optical visual characteristics. By analyzing surface reflectivity, pattern geometry, relief depth, and engraving details captured in images at multiple angles, the system identifies plated steel coins based on their visual surface structure, expanding recognition capability across diverse coin types including plated varieties.
3Loss of information
If multiple images at varying lighting conditions are captured, then comprehensive coin analysis is achieved, but system complexity increases
Solution Approach 1:
The patent employs a universal imaging system using standard digital cameras and adjustable lighting that can capture multiple views and lighting conditions. The same imaging apparatus serves multiple functions: capturing top-down views, angled views, and illuminated views to reveal different surface features. This multi-functional approach achieves comprehensive information capture without requiring specialized complex equipment for each imaging mode.
Solution Approach 2:
The patent creates multiple image copies of the coin from different angles and lighting conditions, then processes these copies computationally. By capturing redundant visual information across multiple images and synthesizing the data through image processing algorithms, the system achieves complete feature extraction while using simple, widely-available camera hardware rather than complex specialized imaging devices.
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
This approach enables accurate authentication and recognition of coins, both individually and within families, by generating a unique digital signature that accounts for common and unique features, improving the ability to distinguish between coins and enhance security against counterfeiting.
Implementation Method 1
capturing an image of a coin
Data Source
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AI summary
A method includes: capturing an image of a coin, locating an acquisition area of the image using a landmark of the coin, the acquisition area comprising a feature unique to the coin and generating a digital representation of the acquisition area.