A feature image generation apparatus includes circuitry. The circuitry generates, on the basis of a processing target image in which an object appears, a first image showing the object, and generates, as a feature image showing a feature of the object, at least a part of a rotational composite image obtained by composition of a plurality of rotated images obtained by rotating the first image.

Currency inspection using mobile devices and attachments are provided herein, as well as methods of use. In some embodiments, an apparatus may be configured to provide selections of currencies to a user via a display of the apparatus, obtain currency attributes for a selected currency, receive currency parameters for suspect currency using a currency evaluation device that is communicatively coupled with the apparatus, the currency evaluation device having a sensor array that comprises one or more sensors that are each configured to determine at least one currency parameter, compare the currency parameters for the suspect currency to the currency attributes, and output a warning message if the suspect currency is potentially counterfeit.

The present invention provides a coin handling device that enables a simple and easy change of a way of handling a coin of which a type is difficult to determine according to the user needs. The coin handling device includes a detector that detects a feature of a coin, a determiner that determines a type of the coin based on the feature of the coin detected by the detector, a reception unit that receives from an operating person handling settings that designate a way of handling the coin that is an indeterminate coin of which the type is not determined and for which multiple options of the type are extracted by the determiner, and a handling unit that handles the indeterminate coin based on the handling settings received by the reception unit.

A coin separation device comprises a conveying device for conveying coins in a conveying direction out of an input container along a conveying section and a testing device which is arranged on the conveying section for recognizing a coin type of a coin which is conveyed along the conveying section. An accelerating device is provided which is configured to accelerate a coin conveyed along the conveying section in dependence on recognition by the testing device in such a manner that the coin is conveyed from the conveying section into a coin collecting device, wherein the accelerating device is configured, in dependence on the coin type of the coin recognized by the testing device, to act upon the coin for acceleration.

A method includes: capturing an image of a coin, locating an acquisition area of the image using a landmark of the coin, the acquisition area comprising a feature unique to the coin and generating a digital representation of the acquisition area.

A method for authenticating a high-value item, wherein an optically identifiable code is generated and applied to the item by being integrated into a surface region of the item that is provided with graphics or a surface structure, wherein the code is in the form of a two-dimensional arrangement of code elements and the outline of the two-dimensional arrangement is adapted to the outline of the surface region or of part of a surface region, and wherein the code is linked to an information source that provides information, able to be displayed on a display, in relation to the item, and wherein a reader, such as for example a smartphone, is provided with programming for detecting and reading the code and, when the code is read, the link to the information source is activated and the information is displayed on the display of the reader.

Embodiments relate to a non-fungible physical (NFP) item. The non-fungible physical (NFP) item comprises an identifier. The identifier is embedded and layered within the non-fungible physical item in an unplanned pattern. The identifier in the unplanned pattern is configured to provide high security against counterfeiting of the non-fungible physical (NFP) item. The identifier comprises at least one of a random marker and a unique marker. The unplanned pattern comprises at least one of a random pattern and a unique pattern. Further the non-fungible physical (NFP) item is registered as a non-fungible token on a blockchain. The NFP item is then paired with the non-fungible token for enabling two-way mutual authentication and enhanced authenticity. The pairing of the NFP item with the non-fungible token enables tracking condition, provenance, and grading of the NFP item.

Disclosed are various embodiments for automatically grading and assessing coins. In one embodiment, a machine learning model is trained based at least in part on first images respectively depicting coins of a particular type. The coins are manually assigned a respective coin classification. A second image is received depicting a different coin of the particular type. An analysis of the second image is performed based at least in part on the machine learning model. A particular coin classification is assigned to the different coin based at least in part on the analysis of the second image.

Embodiments relate to a non-fungible physical (NFP) item. The non-fungible physical (NW) item comprises an identifier. The identifier is embedded and layered within the non-fungible physical item in an unplanned pattern. The identifier in the unplanned pattern is configured to provide high security against counterfeiting of the non-fungible physical (NFP) item. The identifier comprises at least one of a random marker and a unique marker. The unplanned pattern comprises at least one of a random pattern and a unique pattern. Further the non-fungible physical (NFP) item is registered as a non-fungible token on a blockchain. The NFP item is then paired with the non-fungible token for enabling two-way mutual authentication and enhanced authenticity. The pairing of the NFP item with the non-fungible token enables tracking condition, provenance, and grading of the NFP item.

The rare coin identifying machine is a coin sorting machine with integrated scanner interconnected to a CPU to identify collectible rare coins. The purpose being to automate the rarity identification for both avid coin collectors and novice. This automation will help alleviate human error in rare coin identification and the time needed to access them. The scanner inside the coin sorting machine scans coins one at a time and the CPU crosschecks database to see if a rare coin match occurs. If one does occur, then the coin exists the machine. If one does not occur, then the coin is routed to the proper stack.