AI Image Provenance Verification for Object Authentication

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Solution Overview

Problem

Existing methods for verifying the authenticity and provenance of valuable objects, such as collectibles and luxury items, are costly, time-consuming, and prone to human error, making it difficult to authenticate objects worth thousands of dollars effectively and efficiently.

Innovation Solution

A system and method using digital image data and artificial intelligence models to determine the authenticity and provenance of objects based on image datasets, allowing for efficient and cost-effective verification.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If expert analysis is used to verify authenticity and provenance, then reliability of authentication is improved, but cost and time consumption increase significantly

Engineering Contradiction:

Improveauthentication reliabilityVSAvoidverification time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent replaces the mechanical system of human expert analysis with an automated digital imaging and image processing system. The system captures multiple images of the object from different angles and distances, processes these images through algorithms to extract features and determine authenticity, thereby eliminating the need for time-consuming human expert examination while maintaining authentication reliability

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs preliminary actions by capturing comprehensive image data from multiple perspectives and distances before authentication is needed. The images are processed in advance to extract features and create a digital representation of the object, allowing for rapid authentication decisions without requiring time-consuming expert analysis at the moment of verification

Inventive Principle:

Principle #10Preliminary action

2Measurement precision

If expert analysis is used to verify authenticity, then authentication accuracy is improved, but cost increases prohibitively for many objects

Engineering Contradiction:

Improveauthentication accuracyVSAvoidcost-effectiveness

Core Design Contradiction:

Measurement precisionVSEase of manufacture

Solution Approach 1:

The patent replaces expensive human expert analysis with an automated system using digital imaging and image processing algorithms. The system captures high-resolution images from multiple angles, processes them through feature extraction algorithms, and determines authenticity automatically, providing expert-level accuracy at a fraction of the cost

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system creates detailed digital copies of physical objects through multi-angle photography and image processing. These digital representations capture essential features and characteristics of the object, allowing for repeated analysis and authentication without requiring physical handling by expensive human experts, thereby reducing cost while maintaining accuracy

Inventive Principle:

Principle #26Copying

3Reliability

If human experts perform authentication, then complex provenance verification is improved, but human error and bias increase

Engineering Contradiction:

Improveprovenance verification reliabilityVSAvoidobjectivity

Core Design Contradiction:

ReliabilityVSLoss of information

Solution Approach 1:

The patent replaces human expert judgment with objective image processing algorithms that analyze visual features systematically. The system processes images through standardized algorithms that extract and compare features without being influenced by human factors such as bias, motivation, or prejudice, thereby eliminating the loss of objectivity while maintaining verification reliability

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs self-service authentication by automatically analyzing images and determining authenticity without requiring human intervention. The image processing algorithms independently evaluate features and make authentication decisions, eliminating human error and bias while maintaining reliable provenance verification

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20260030903A1Systems, methods and techniques for ascertaining object provenance and/or status

Publication Date: 2026.01.29 SPACEFARM LLC

AI summary

Systems, devices, and methods are disclosed for determining provenance (e.g., origin, authenticity) for an object using digital image data of one or more objects. A system receives, via a network, digital image data of an object. The system determines from the digital image data, a set of feature variables, each corresponding to a characteristic of the object. The system can determine, via an artificial intelligence model and with input including the set of feature variables and a comparison dataset, an origin for the object. The artificial intelligence model generates, based on the portion of feature variables that match corresponding portions of the comparison dataset, an output indicative of an origin. The system can communicate, via the network, an indication of the provenance of the object.