Abstract: A virtual network monitoring apparatus includes an acquisition unit configured to acquire first network information, the first network information being network information possessed by a virtual machine control unit functioning as an orchestrator, and second network information, the second network information being network information possessed by a virtual machine generated by the virtual machine control unit among network information on a virtual network to which the virtual machine is connected, and a generation unit configured to generate a traffic filter indicating a filter for traffic flowing through the virtual network on the basis of the first network information and the second network information.

Abstract: A virtual network monitoring apparatus includes an acquisition unit configured to acquire first network information, the first network information being network information possessed by a virtual machine control unit functioning as an orchestrator, and second network information, the second network information being network information possessed by a virtual machine generated by the virtual machine control unit among network information on a virtual network to which the virtual machine is connected, and a generation unit configured to generate a traffic filter indicating a filter for traffic flowing through the virtual network on the basis of the first network information and the second network information.

Abstract: An object recognition device includes an operation unit configured to receive a user input about an item, a storage unit that stores image data of the item, an imaging unit configured to acquire an image of the item and generate image data therefrom, and a control unit configured to compare the generated image data with the stored image data, and cause information about updating the stored image data to be presented to a user, based on a comparison result.

Abstract: An object recognition device includes an operation unit configured to receive a user input about an item, a storage unit that stores image data of the item, an imaging unit configured to acquire an image of the item and generate image data therefrom, and a control unit configured to compare the generated image data with the stored image data, and cause information about updating the stored image data to be presented to a user, based on a comparison result.

Abstract: A product identification apparatus includes a storage device which stores a dictionary including reference data of each of a plurality of products stored in association with identification information of the product, an imaging section which captures image data of a target product, and a processor which performs a dictionary registration process. The processor extracts reference data of the target product from the image data captured by the imaging section. The storage device adds the extracted reference data to previously stored reference data in association with the identification information of the target product. Alternatively, the storage device stores the extracted reference data in association with the identification information of the target product when no reference data is previously stored in association with the identification information of the target product.

Abstract: An information processing apparatus includes at least extraction, first calculation, recognition, determination, operation receiving, and recording modules. The extraction module extracts a feature amount from an image of a commodity captured by an image capturing module. The first calculation module compares a feature amount of each commodity registered in a dictionary with the extracted feature amount to calculate a similarity degree. The recognition module recognizes, as a commodity candidate, a commodity having a similarity degree higher than a threshold value from registered commodities. The determination module determines, as the captured commodity, a commodity candidate having a highest similarity degree from recognized commodity candidates. The operation receiving module receives operation for instructing an occurrence of incorrect recognition for the determined commodity candidate.

Abstract: An information processing apparatus comprises a first dictionary storage module configured to store first dictionary data in which a first feature amount calculated according to commodity information or image of a commodity is set; an image storage module configured to store an image serving as basis of calculation of the first feature amount additionally set in the first dictionary data; a second dictionary storage module configured to store a second dictionary data of successor of the first dictionary data; an additional information setting module configured to extract commodity information to which additional setting or change setting is executed from the first dictionary data to set the extracted commodity information in the second dictionary data; and a feature amount re-calculation module configured to re-calculate a second feature amount according to the image stored in the image storage module to set the calculated second feature amount in the second dictionary data.

Abstract: In accordance with one embodiment, an information processing apparatus comprises a selection module configured to select a target object from a storage section in which feature amounts for recognizing an object are stored for a plurality of objects; an image capturing module configured to photograph an object held to the image capturing module to capture an image of the object; a recognition module configured to compare the feature amount of the object stored in the storage section with the feature amount of the object contained in the image captured by the image capturing module to recognize the object; a determination module configured to determine the propriety of a holding manner of the object according to the ranking of the object selected by the selection module in the recognition result of the recognition module; and a notification module configured to notify a determination result of the determination module.

Abstract: An object recognition device includes an operation unit configured to receive a user input about an item, a storage unit that stores image data of the item, an imaging unit configured to acquire an image of the item and generate image data therefrom, and a control unit configured to compare the generated image data with the stored image data, and cause information about updating the stored image data to be presented to a user, based on a comparison result.

Abstract: A product identification apparatus includes a storage device which stores a dictionary including reference data of each of a plurality of products stored in association with identification information of the product, an imaging section which captures image data of a target product, and a processor which performs a dictionary registration process. The processor extracts reference data of the target product from the image data captured by the imaging section. The storage device adds the extracted reference data to previously stored reference data in association with the identification information of the target product. Alternatively, the storage device stores the extracted reference data in association with the identification information of the target product when no reference data is previously stored in association with the identification information of the target product.

Abstract: An information processing device includes an image taking section having a connection to an image capturing device by which the image taking section instructs the image capturing device to capture an image of a merchandise, a processor configured to recognize candidates based on the captured image of the merchandise, and a display controller configured to display the candidates and highlight a group of the candidates that are related.

Abstract: An information processing apparatus comprises an extraction module configured to extract a feature amount from an image of a commodity captured by an image capturing module; a calculation module configured to compare the feature amount of each commodity registered in a dictionary in association with instruction information instructing whether or not to execute automatic determination with the feature amount extracted by the extraction module to calculate a similarity degree therebetween; a recognition module configured to recognize a commodity of which the similarity degree is higher than a threshold value as a commodity candidate from the commodities registered in a dictionary; a determination module configured to determine the instruction information associated with the commodity candidate; and a display control module configured to selectably display each commodity candidate recognized by the recognition module if it is determined that the instruction information instructing not to execute the automatic de

Abstract: In accordance with first embodiment, a store system comprises an image capturing apparatus configured to optically capture an image through an image capturing window; a display for customer configured to be selectively arranged in a horizontal or vertical manner at a side opposite to a side where the image capturing window is arranged to display the display data; a determination unit configured to determine whether the display for customer is placed vertically or horizontally; a sales registration unit configured to execute a sales registration processing in response to an image captured by the image capturing apparatus; and a display content changing unit configured to change, in response to a determination result based on the determination unit, the display data of the sales registration processing carried out by the sales registration unit displayed on the display for customer.

Abstract: An information processing apparatus comprises a first imaging unit for imaging a commodity, a commodity recognition unit for comparing the imaged commodity image with a pre-stored commodity image, and recognizing the imaged commodity based on the similarity with the pre-stored commodity image, a second imaging unit for imaging the face of a customer, a member determining unit for comparing the imaged face image with a pre-stored face image of each member, and determining whether the customer imaged by the second imaging unit is a member based on the similarity with the face imaging of each member obtained by the comparison and a preference giving unit for giving the customer who is determined as a member by the member determining unit a given preference when the amount of each commodity recognized by the commodity recognition unit is counted.