System and Method for Accessing Comic Book Grading Notes via a Quick Scan Code

• US 20160148283A1
• Filed: 03/09/2015
• Published: 05/26/2016
• Est. Priority Date: 11/21/2014
• Status: Abandoned Application

• Current Assignee: Michael Bornstein CBCS Comics
• Original Assignee: Michael Bornstein CBCS Comics
• Inventors: BORNSTEIN, MICHAEL
• Application Number:
  US14/642,077
• Publication Number:
  US 20160148283A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/0278 Product appraisal

Abstract

A system and method for grading a document are disclosed, the method including but not limited to generating on a comic grading processor, a grade for a first comic book using grading notes for the first comic book from a first comic book grader; generating a quick scan code for the grading notes; accepting at the comic grading processor, a Quick Scan code from a mobile device; and sending from the comic book grading processor to the mobile device a grading report comprising the grade and grading notes indicated by the quick response code. A system is disclosed for practicing the method.

Claims

1. A method for grading a document, the method comprising:

generating on a comic grading processor, a grade for a first comic book using grading notes for the first comic book from a first comic book grader;

generating a quick scan code for the grading notes;

accepting at the comic grading processor, a Quick Scan code from a mobile device;

and

sending from the comic book grading processor to the mobile device a grading report comprising the grade and grading notes indicated by the quick response code.

2. The method of claim 1, wherein generating the grade for the first comic book further comprises:

generating on a neural network on the comic grading processor, a phantom grade for the first comic book based on the grading notes for the first comic book from the first comic book grader and a profile for the first comic book grader; and

correlating on the neural network the first comic book grade with the phantom grade for the first comic book grader for the first comic book.

3. The method of claim 2, the method further comprising:

adjusting the weights for the profile for the first comic book grader in the neural network based on the correlating the first comic book grade based on the correlating the first comic book grade with the phantom grade for the first comic book; and

generating on the comic grading processor a confidence verification score for the first comic book grade based on the correlating the first comic book grade with the phantom grade for the first comic book.

4. The method of claim 2, the method further comprising:

generating on a comic grading processor, a second grade for the first comic book using grading notes for the first comic book from a second comic book grader;

generating on a neural network on the comic grading processor, a second phantom grade for the first comic book based on the grading notes for the first comic book from the second comic book grader and a profile for the second comic book grader; and

correlating on the neural network the second comic book grade with the second phantom grade for the second comic book grader for the first comic book.

5. The method of claim 4, the method further comprising:

adjusting the weights for the profile for the second comic book grader in the neural network based on the correlation; and

generating on the comic grading processor a confidence verification score for the second comic book grade based on the correlating the second comic book grade with the second phantom grade for the first comic book.

6. The method of claim 5, the method further comprising:

generating a composite grade for the first comic book based on the correlation of the first comic book grading notes with the second comic book grading notes; and

generating on the comic grading processor a confidence verification score for the composite grade for the first comic book.

7. The method of claim 6, the method further comprising:

generating on the neural network, a phantom composite score for the first comic book based on a correlation of the first comic book grading notes with the second comic book grading notes;

correlating the composite score for the first comic book with the phantom composite score for the first comic book;

and

generating on the comic grading processor a confidence verification score for the phantom composite grade for the first comic book.

8. The method of claim 6, the method further comprising:

generating the quick scan code for a grading report for the first comic book, the grading report comprising the grade and grading notes from the first comic book grader, the confidence verification score for the grade from the first comic book grader, the grade and grading notes from the second comic book grader, the confidence verification score for the grade from the second comic book grader, the composite grade and the phantom composite grade;

and

placing the quick scan code for the grading report on a package for the comic book.

9. A system for grading a comic book, the system comprising:

comic grading processor in data communication with a non-transitory computer readable medium, the computer readable medium containing a computer program for execution by the comic grading processor, the computer program further comprising instructions to generate on a comic grading processor, a grade for a first comic book using grading notes for the first comic book from a first comic book grader;

instructions to generate a quick scan code for the grading notes;

instructions to accept at the comic grading processor, a Quick Scancode from a mobile device; and

instructions to send from the comic book grading processor to the mobile device a grading report comprising the grade and grading notes indicated by the quick response code.

10. The system of claim 9, wherein the computer program further comprising:

instructions to generate on a neural network on the comic grading processor, a phantom grade for the first comic book based on the grading notes for the first comic book from the first comic book grader and a profile for the first comic book grader; and

instructions to correlate on the neural network the first comic book grade with the phantom grade for the first comic book grader for the first comic book.

11. The system of claim 10, the computer program further comprising:

instructions to adjust the weights for the profile for the first comic book grader in the neural network based on the correlating the first comic book grade based on the correlating the first comic book grade with the phantom grade for the first comic book;

and

instructions to generate on the comic grading processor a confidence verification score for the first comic book grade based on the correlating the first comic book grade with the phantom grade for the first comic book.

12. The system of claim 9, the computer program further comprising:

instructions to generate on a comic grading processor, a second grade for the first comic book using grading notes for the first comic book from a second comic book grader;

instructions to generate on a neural network on the comic grading processor, a second phantom grade for the first comic book based on the grading notes for the first comic book from the second comic book grader and a profile for the second comic book grader;

and

instructions to correlate on the neural network the second comic book grade with the second phantom grade for the second comic book grader for the first comic book.

13. The system of claim 12, the computer program further comprising:

instructions to adjust the weights for the profile for the second comic book grader in the neural network based on the correlation; and

instructions to generate on the comic grading processor a confidence verification score for the second comic book grade based on the correlating the second comic book grade with the second phantom grade for the first comic book.

14. The system of claim 13, the computer program further comprising:

instructions to generate a composite grade for the first comic book based on the correlation of the first comic book grading notes with the second comic book grading notes; and

instructions to generate on the comic grading processor a confidence verification score for the composite grade for the first comic book.

15. The system of claim 14, the computer program further comprising:

instructions to generate on the neural network, a phantom composite score for the first comic book based on a correlation of the first comic book grading notes with the second comic book grading notes;

instructions to correlate the composite score for the first comic book with the phantom composite score for the first comic book;

and

instructions to generate on the comic grading processor a confidence verification score for the phantom composite grade for the first comic book.

16. The system of claim 14, the computer program further comprising:

instructions to generate the quick scan code for a grading report for the first comic book, the grading report comprising the grade and grading notes from the first comic book grader, the confidence verification score for the grade from the first comic book grader, the grade and grading notes from the second comic book grader, the confidence verification score for the grade from the second comic book grader, the composite grade and the phantom composite grade;

and

instructions to place the quick scan code for the grading report on a package for the comic book.