Collectible Image Identification Using Embedding Vector Matching
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Solution Overview
Problem
Collectible items, such as trading cards, are difficult to research and identify efficiently due to the reliance on slow and expensive human grading processes.
Innovation Solution
A machine learning-based system that uses image analysis to identify collectible items by generating embedding vectors from images, comparing them to a database of known items, and providing potential matches or exact identifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional human grading processes are used to identify collectible items, then identification accuracy can be maintained through expert knowledge, but the process becomes slow and expensive
Solution Approach 1:
The patent replaces the mechanical human expert review process with an automated machine learning system that uses image processing and embedding vector comparison to identify collectible items, eliminating the need for physical human inspection while maintaining identification accuracy
Solution Approach 2:
The system creates digital copies (embedding vectors) of collectible item images and stores them in a database for comparison, allowing rapid automated identification without needing to physically handle or manually examine the original items
2Measurement precision
If human experts manually identify and grade collectible items, then detailed assessment can be performed, but the cost increases significantly
Solution Approach 1:
The system enables self-service identification where the collectible item's image is automatically processed by the machine learning model without requiring human expert intervention, making the service accessible and cost-effective while maintaining consistent grading accuracy
Solution Approach 2:
The patent substitutes expensive human expert labor with an automated computational system that performs identification and grading tasks, dramatically reducing operational costs while maintaining or improving consistency in assessment quality
3Measurement precision
If comprehensive research methods are used to identify collectible items, then accurate information can be obtained, but the process becomes complex and time-consuming
Solution Approach 1:
The patent extracts only the essential visual features of collectible items and represents them as embedding vectors, filtering out unnecessary complexity while retaining the key information needed for accurate identification and comparison
Data Source
AI summary
A system for using machine learning to determine an identification of a collectible item has one or more computer devices having a computer processor and computer memory, the computer memory storing executable code that, when executed by the computer processor, enables the computer system to perform a process. The process includes receiving an image of the collectible item, and using machine learning to determine, from the image, an identification that may include, in some embodiments, a subject, a year of publication, and a manufacturer. In some embodiments, it may further include a parallel of the collectible item.