The present disclosure describes method, apparatus, and storage medium for identifying an identification code. The method includes obtaining, by a computer device, a to-be-detected picture. The computer device includes a memory storing instructions and a processor in communication with the memory. The method also includes detecting, by the computer device, an identification code in the to-be-detected picture to obtain a detection result, the detection result comprising target information of a target code corresponding to the identification code; sampling, by the computer device, the target code according to the target information, to obtain a sampled image; and decoding, by the computer device, the sampled image, to obtain an identification result corresponding to the identification code.

It is an object of the present invention to provide an object collating device and an object collating method that enable matching of images of a dividable medical article with desirable accuracy and easy confirmation of matching results. In the object collating device according to the first aspect, when the object is determined to be divided, the first image for matching is collated with the image for matching (the second matching image) for the objects in the undivided state, so that the region to be matched is not narrowed, and matching of the images of the dividable medical article is achieved with desirable accuracy. In addition, since the first and second display processing is performed on the images for display determined to contain the objects of the same type, matching results can easily be confirmed.

Provided are a drug recognizing apparatus, a drug recognizing method, and a drug recognizing program capable of enhancing robustness of a master image in a case where a drug is recognized. The drug recognizing apparatus includes an illumination unit that illuminates a drug; an imaging unit that images the illuminated drug; a storage unit that stores a master image for each drug type; a drug position acquiring unit that acquires a position of the drug on the basis of a captured image obtained by the imaging unit; a master image generating unit that generates the master image from a drug area in the captured image; an updating determination unit that determines whether to update the master image on the basis of the position of the drug acquired by the drug position acquiring unit; and a registration unit that registers the master image in the storage unit in a case where it is determined that the master image is to be updated.

Systems and methods are provided for identifying an item that is counterfeit in the marketplace. Sales of counterfeit items in marketplaces, particularly at auction places, have been an issue. There has been a need to automatically detect an item that is counterfeit when a seller submits the item for sale in the marketplace. The disclosed technology receives information about an item for transaction. The information associated with the item includes metadata related to the item and an image of the item. The method uses a database of items that are known to be not for sale (e.g., a stock photo) or is otherwise a counterfeit item. The method matches the data of the item against the data in the database and identifies the item as counterfeit based on the matched result. The matching operation includes analyzing the data (e.g., image analyses using features of the image data). Use of the disclosed technology enables automatic and efficient detection of counterfeit items as a seller submits the item for sale in the marketplace, thereby increasing reliability of the marketplace from buyers' perspective.

Embodiments of the present disclosure provide a data processing method, apparatus and system, a medium and a computer device. By detecting a bounding box of a stack from a top view image of the stack, first size information of the stack is determined based on the bounding box of the stack; and stacking state information of the stack is determined based on the distinction between the first size information and second size information of one of the at least one object.

The present disclosure relates to a computer-implemented method, devices and systems for determining a location associated with a gemstone. That method includes training a data model to detect a characteristic associated with a feature of interest pertaining to a gemstones surface. The training including the steps of providing a plurality of training images of gemstones, each training image associated with a label for a feature of interest pertaining to a given region of a gemstone type and an output indicating the specific gemstone type for the label. An input image of a gemstone for which a location is to be determined is then provided to the trained data model, wherein the data model detects at least one characteristic in the input image that corresponds to a feature of interest in the plurality of training images, determines that characteristic in the input image is associated with the label in the trained data model that corresponds to said feature of interest, identifies that the gemstone in the input image is of the specific gemstone type associated with said label, and finally provides an output representation of the respective feature of interest of the respective region for the identified specific gemstone type. Then, based on the output representation, a location on a corresponding region of the gemstone associated with the input image can be determined

An interaction checking method, device, and system determines health interactions, in real time, as images are collected from an environment and provides augmented informational data presentations of the same. The interactions are based on health information, historical information, and stored interaction data. In particular, the images are received from a camera viewing the environment and an identity is determined of the objects in the environment. Based on the identity determined, information about the objects is retrieved from a memory device, and an interaction warning is determined for a specific combination of the objects if the objects were to be used together. A display device augments visual data of the environment with the information about the objects in a presentation to a user that includes the interaction warning and information about the objects.

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.

Methods for measuring and verifying drug portions while avoiding the need to teach verification devices is provided. Characteristic key data of a drug type are compiled with a calibrated camera of a measuring device, stored in a storage device, and retrieved from or transmitted to a verification device. Individual key data for a drug portion to be verified are compiled using a calibrated camera of the verification device and compared with the characteristic key data. A digital image of a drug portion to be verified is generated with a calibrated camera and transferred to a control unit. The control unit determines individual key data for the drug portion to be verified using known calibration parameters of the camera and the digital image, compares the individual key data with characteristic key data of the corresponding drug type and verifies or rejects the drug portion based on the results of the comparison. Systems and computer readable medium are also provided.

Methods for measuring and verifying drug portions while avoiding the need to teach verification devices is provided. Characteristic key data of a drug type are compiled with a calibrated camera of a measuring device, stored in a storage device, and retrieved from or transmitted to a verification device. Individual key data for a drug portion to be verified are compiled using a calibrated camera of the verification device and compared with the characteristic key data. A digital image of a drug portion to be verified is generated with a calibrated camera and transferred to a control unit. The control unit determines individual key data for the drug portion to be verified using known calibration parameters of the camera and the digital image, compares the individual key data with characteristic key data of the corresponding drug type and verifies or rejects the drug portion based on the results of the comparison. Systems and computer readable medium are also provided.