A method and system is provided for determining the denomination and related data for a currency item using a personal computing device, such as a mobile phone. The device includes or is connected to an image capture device that is preferably a digital video camera. At least one image of a target currency item is captured then processed for image quality. A further processing of the image includes a coordinate mapping. A comparison is made between individual pixels of the processed image based on the assigned coordinate mapping with a database of reference currency images to determine the currency denomination. Additional processing of the currency image provides the date and other data regarding the target currency item. A market value for the target currency item is identified by reference to a valuation database using the data determined for the currency item.

A method and system is provided for determining the denomination and related data for a currency item using a personal computing device, such as a mobile phone. The device includes or is connected to an image capture device that is preferably a digital video camera. At least one image of a target currency item is captured then processed for image quality. A further processing of the image includes a coordinate mapping. A comparison is made between individual pixels of the processed image based on the assigned coordinate mapping with a database of reference currency images to determine the currency denomination. Additional processing of the currency image provides the date and other data regarding the target currency item. A market value for the target currency item is identified by reference to a valuation database using the data determined for the currency item.

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.

An approach is provided to authenticate objects based on surface patterns on the object. In the approach, a pressure pattern is measured between a sensor array surface of a pressure mapping sensor array accessible by the processor and one of the object's surfaces. A set of characteristics of the object surface is extracted based on the pressure pattern resulting from the measuring. These characteristics are compared to a set of expected characteristics with the object being authenticated based on the comparison.

The present invention provides a coin recognition unit having high recognition capacity. The coin recognition unit comprises magnetic sensors each configured to collect magnetic characteristics of a transported coin; at least one optical sensor disposed with a space from the magnetic sensors and configured to collect optical characteristics of a surface of the coin; a glass plate constituting a transport surface on which the coin is transported and having a larger size than the coin; and a controller configured to control the magnetic sensors and the at least one optical sensor and perform a recognition process, the glass plate covering at least part of each magnetic sensor and at least part of each optical sensor.

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.

A coin feeding device (for example, feeding unit 20) includes: a disk 22 having a plurality of protrusions 22b at a surface, the disk 22 disposed so as to be rotatable in a tilted state and configured to catch coins by the protrusions 22b to move the coins upward while rotating; a cover 21 configured to form a space for storing a coin between the cover 21 and the surface of the disk 22; a guide 26 configured to guide a peripheral edge of a coin such that a part of the coin having been caught by each protrusion 22b and moved upward protrudes from the disk 22; and a taking-out unit (for example, taking-out mechanism 28) configured to grip only one coin protruding from the disk 22, remove the coin from the disk 22, and discharge the coin to outside of the disk 22.

A coin separating and detecting device includes: a separating and feeding rotating body disposed inclinedly and configured to receive and separate coins; a coin separating and feeding device configured to push out the coins that have been separated; and a coin detecting device configured to receive the coins from the coin separating and feeding device, the coin detecting device including: a detecting rotating body configured to move the coins; and a sensor configured to acquire physical information on the coins, wherein the separating and feeding rotating body and the detecting rotating body are positioned adjacent each other in a horizontal direction; and wherein the detecting rotating body is configured to receive the coins; hold the coins; deliver the coins onto the detecting portion introduction guide; and push the coins forward along the detecting portion introduction guide.

A coin identification method and device, as well as a coin register are provided, which are related to a field of image identification. A specific implementation includes: extracting, from a to-be-identified image including coins, image blocks corresponding to the coins, to form an input coin set; inputting the input coin set into a coin classification model, to obtain categories and a classification confidences of the image blocks of the coins in the input coin set, wherein the category includes a face value of the coin; incorporating an image block, with a classification confidence reaching a threshold, of a coin of the input coin set into a first coin set; and determining a face value indicated by a category of the image block of the coin in the first coin set as a final face value of the coin in the first coin set.

A 3D imaging and image processing system is configured to collect and analyze data defining a predetermined set of physical and visual attributes of a collectible object. The collected 3D image information is stored in a database, which also contains a record of 3D image information associated with a defined gold-standard object of the same kind. The analysis is used to generate as an output an “objective valuation” of the collectible object based upon a comparison to the stored gold-standard image data. When used with collectible coins, the objective valuation is used in the assignment of a specific “grade”, using a well-known industry grading standard.