AI Card Grading Workflow for Backlog and Consistency Control

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

The existing grading systems for collectible items, such as baseball cards and coins, face limitations due to a shortage of human graders, leading to long backlogs and subjective assessments, which affect the efficiency and reliability of grading processes.

Innovation Solution

An automated evaluation system utilizing artificial intelligence and robotic components to analyze collectible items, including a robotic arm, camera, and sensors, to provide a first-pass grade, which is then refined by human graders, thereby reducing the reliance on human labor and increasing grading capacity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If human graders are used to assess collectible items, then subjective expertise and nuanced judgment are applied, but the number of graders is limited causing long backlogs and reduced productivity

Engineering Contradiction:

Improvegrading accuracyVSAvoidgrading capacity

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

An automated evaluation system with AI model serves as an intermediary between collectible items and human graders. The system captures images, detects characteristics, and generates first-pass grades that assist human graders, thereby expanding grading capacity while maintaining quality through human oversight.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The grading process is segmented into multiple stages: automated image capture, AI-based first-pass grading, and human grader review. This segmentation allows routine assessments to be handled automatically while human expertise focuses on complex or disputed cases, increasing overall productivity.

Inventive Principle:

Principle #1Segmentation

2Productivity

If more human graders are hired to increase grading capacity, then backlog is reduced, but operational costs and system complexity increase

Engineering Contradiction:

Improvegrading capacityVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent replaces the mechanical system of human-only grading with an automated evaluation system comprising image capture devices, sensors, and AI processing. This substitution dramatically increases grading capacity without proportionally increasing operational costs or complexity.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If automated systems are used to increase grading capacity, then productivity improves, but measurement precision and reliability may deteriorate due to lack of human judgment

Engineering Contradiction:

Improvegrading capacityVSAvoidgrading accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The system incorporates feedback loops where AI-generated first-pass grades are reviewed and adjusted by human graders. This feedback mechanism allows the automated system to learn and improve while maintaining measurement precision through human oversight of its assessments.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The automated evaluation system acts as an intermediary that enhances rather than replaces human judgment. It provides first-pass grades and objective measurements that assist human graders, combining automated efficiency with human expertise to maintain accuracy.

Inventive Principle:

Principle #24Intermediary (Mediator)

4Measurement precision

If manual inspection processes are used, then detailed examination can be performed, but the process time increases leading to longer backlogs

Engineering Contradiction:

Improveinspection thoroughnessVSAvoidgrading time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces manual inspection with automated image capture and AI analysis. The system rapidly captures multiple images from different angles and uses computer vision algorithms to detect characteristics, dramatically reducing inspection time while maintaining thoroughness through systematic multi-angle imaging.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs preliminary automated assessment including image capture, characteristic detection, and first-pass grading before human review. This preliminary action filters out routine cases that don't require extensive human inspection, reducing overall processing time while maintaining inspection quality.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS12493888B2Identifying and grading system and related methods for collectible items

Publication Date: 2025.12.09 COLLECTORS UNIVERSE INC

AI summary

An automated evaluation system for obtaining images for collectible items and using artificial intelligence (AI) to analyze different parameters of the images, such as an edge parameter, a corner parameter, and a centering parameter. The system can move the collectible items, which can be collectible cards, using a robotic arm or through manual manipulation to a working area to then obtain images of the collectible items using a camera or a scanner. The images can be saved to a database and accessible by a control computer to analyze the images with the AI model. The system can provide a first-pass grade as to the authenticity and condition of the card. The grade can be manually verified by a human grader.