Object Authentication via Geometric Marker Comparison
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Solution Overview
Problem
Existing authentication methods, such as alphanumeric passwords and biometric data, face challenges in ensuring secure location verification and preventing fraudulent positioning data, particularly in server-client configurations, where the need for accurate and secure access to physical objects increases the complexity of impersonation.
Innovation Solution
A method and system using geometric markers from reference images, captured by an imaging device, are compared to current images to verify the object's viewport, incorporating key geometric markers like points, lines, and polygons, along with metadata from sensors like GPS and gyroscopes, to authenticate the user's location and object alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods (alphanumeric passwords, biometric data) are used, then authentication functionality is provided, but positioning data accuracy and security against fraudulent location verification are insufficient
Solution Approach 1:
The patent introduces geometric markers as an intermediary element between the user and the authentication system. These markers serve as a mediator that connects physical location verification with digital authentication, enabling precise positioning validation without relying solely on traditional sensors that are vulnerable to fraud
Solution Approach 2:
The patent replaces reliance on mechanical/sensor-based location verification (GPS, accelerometers, gyroscopes) with an optical/image-based verification system. By substituting the mechanical sensor system with an imaging system that captures and verifies geometric markers, the patent achieves higher positioning accuracy and resistance to fraudulent data
2Reliability
If geometric markers and image comparison are used for authentication, then positioning accuracy and security are improved, but device complexity and processing requirements increase
Solution Approach 1:
The patent segments the authentication process into distinct stages: capturing the reference image, extracting geometric markers, comparing markers between images, and verifying authentication. This segmentation allows each component to be optimized independently and simplifies the overall system architecture despite the increased functionality
Solution Approach 2:
The patent uses geometric markers that can be replicated across reference images and current images. By copying these distinctive geometric features and comparing them, the system achieves high security without requiring complex proprietary algorithms, as the markers themselves carry the authentication information
3Reliability
If multiple sensors and geometric markers are integrated for verification, then authentication robustness is improved, but ease of operation and user convenience decrease
Solution Approach 1:
The patent enables the authentication system to automatically capture images, extract geometric markers, and perform verification without requiring manual user intervention for each step. The system self-services by autonomously completing the complex verification process, maintaining high robustness while preserving user convenience
Solution Approach 2:
The patent performs preliminary actions by pre-capturing reference images and pre-extracting geometric markers before the actual authentication event. This preliminary preparation stores the authentication baseline, allowing rapid and convenient verification when the user needs to authenticate, without requiring complex real-time processing during the authentication moment
Data Source
AI summary
A method of authentication using object imaging, comprising: identifying at least one key geometric marker related to an object captured from a specific viewport and depicted in a reference image; receiving a current image of the object, the current image captured by an imaging device; extracting at least one current geometric marker related to the object from the current image; and comparing the at least one current geometric marker to the at least one key geometric marker to verify that the current image is depicting the object from the viewport.