Abstract: A counterfeit detection system includes one or more computer devices for determining if a collectible card is counterfeit. The counterfeit detection system includes executable code that, when executed, enables the computer system to perform a process. The process includes the steps of: providing a database of reference card images; receiving an image of the collectible card; selecting at least one region of the image of the collectible card; determining a selected reference card image from the database of reference card images, which corresponds with the image of the collectible card; comparing, via a neural network, the at least one region of the image to a corresponding region of the selected reference card; and determining whether the collectible card is authentic or counterfeit based upon similarities and differences between the image of the collectible card and the reference card image, in the at least one region.

Abstract: 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.

Abstract: A grading system for using machine learning for grading a collectible item by reviewing different properties of the collectible item, such a card's centering properties. The grading system can include one or more computer devices to perform a process that includes receiving an image of the collectible item, using machine learning to determine, in the image, an outer box on an edge of the collectible item, and an inner box around a significant image printed on the collectible item or the image's inside border, and determining how well centered the image is on the collectible item based at least in part on comparing different reference distances against the card's edge.

Abstract: A counterfeit detection system includes one or more computer devices for determining if a collectible card is counterfeit. The counterfeit detection system includes executable code that, when executed, enables the computer system to perform a process. The process includes the steps of: providing a database of reference card images; receiving an image of the collectible card; selecting at least one region of the image of the collectible card; determining a selected reference card image from the database of reference card images, which corresponds with the image of the collectible card; comparing, via a neural network, the at least one region of the image to a corresponding region of the selected reference card; and determining whether the collectible card is authentic or counterfeit based upon similarities and differences between the image of the collectible card and the reference card image, in the at least one region.