Automated Collectible Grading System Using Optical Scanning
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Solution Overview
Problem
The grading of collectible items, particularly trading cards, is largely manual and subjective, leading to inconsistencies and misvaluation due to human error, which affects the integrity and efficiency of the market.
Innovation Solution
A computer-implemented system that uses a combination of sensors, cameras, and machine learning algorithms to autonomously scan, grade, and encapsulate collectibles, providing objective and consistent grading based on characteristics like centering, corners, edges, and surface condition, and generates a tamper-proof label for authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual grading is used, then human judgment and flexibility are applied, but subjectivity and inconsistency lead to misvaluation
Solution Approach 1:
The patent replaces the manual mechanical grading process with an automated optical scanning system using cameras and sensors. The system captures high-resolution images and data from multiple angles, then uses image processing algorithms to objectively measure card characteristics such as centering, corners, edges, and surface conditions, eliminating human subjectivity and ensuring consistent grading across all cards.
Solution Approach 2:
The patent creates a digital copy of the card through comprehensive scanning and imaging. Multiple high-resolution images and sensor data are captured to create a complete digital representation of the card's physical state. This digital copy is then analyzed by automated algorithms to determine the grade, ensuring that the assessment is based on objective measurements rather than human interpretation.
2Measurement precision
If automated scanning is implemented, then objectivity and consistency are improved, but system complexity increases
Solution Approach 1:
The patent divides the grading system into distinct functional modules: an optical scanning module with cameras and sensors for data capture, an image processing module for analyzing captured images, a grading algorithm module for determining grades based on analyzed data, and an output module for generating reports. This segmentation allows each module to be optimized independently and simplifies the overall system architecture.
Solution Approach 2:
The patent designs a multi-functional scanning system that can handle various types of collectible cards using the same hardware platform. The system uses interchangeable lenses, adjustable lighting configurations, and adaptable image processing algorithms to accommodate different card sizes, materials, and characteristics, reducing the need for multiple specialized devices.
3Measurement precision
If comprehensive data collection is performed, then grading accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary data collection by capturing all necessary images and sensor data in a single comprehensive scan before any analysis begins. The system positions the card, activates multiple cameras and sensors simultaneously, and captures complete visual and physical data in one operation, eliminating the need for multiple sequential scanning steps and reducing overall processing time.
Solution Approach 2:
The patent implements continuous image processing and analysis as data is being captured. Rather than completing the entire scan before beginning analysis, the system processes images and extracts features in real-time during the scanning operation. This parallel processing approach ensures that data collection and analysis occur simultaneously, minimizing idle time and accelerating the overall grading process.
Data Source
AI summary
The present invention is a computer-implemented method comprising receiving a notification that a card in received by a grading machine; transferring the card on a platform to a scanning area within the grading machine; capturing a set of data associated with the card via a plurality of sensors and cameras of the grading machine; determining that the set of data associated with the card is accurate and without errors; analyzing the set of data to identify defects of the card; generating a label based on the identified defects; and encapsulating the card and the label in a slab, wherein the slab contains identifying information.