Abstract: An information processing apparatus includes: an acquisition module configured to acquire an image photographed by an image capturing module; an extraction module configured to extract, from the image, a feature amount representing an external feature of a commodity photographed; a recognition module configured to recognize a standard commodity that is a candidate for the commodity by comparing the feature amount extracted with a feature amount of each standard commodity; a determination module configured to determine whether there is any related standard commodity belonging to a same commodity item as the standard commodity recognized and having an external feature different from an external feature of the standard commodity recognized; and a display module configured to display the standard commodity recognized as the candidate for the commodity contained in the image, and display the related standard commodity as a candidate for the commodity if there is any related standard commodity.

Abstract: A commodity recognition apparatus detects an appearance feature amount of a commodity included in an image captured by an image capturing unit, extracts a candidate of the commodity included in the captured image by comparing the data of the appearance feature amount with the feature amount data in a recognition dictionary file, recognizes a character string included in the image captured by the image capturing unit, and determines a commodity of a recognition target according to the recognized character string and the extracted candidate of the commodity.

Abstract: A recognition system includes an acquisition module configured to acquire an image data generated by an image sensor, a first generation module configured to generate a graphical user interface which contains the image data, and an input module configured to detect an input on the graphical user interface, the input indicating a position designation on the image data. The recognition system further includes a second generation module configured to overlap a frame-line on the image data of the graphical user interface based on the position designation detected by the input module, and a calculation module configured to calculate one or more feature values of an object image within the frame-line.

Abstract: According to one embodiment, an information processing apparatus includes an acquirement unit and a reporting unit. The acquirement unit is configured to acquire an image captured by a image capturing section. In a situation that a similarity representing a degree with which the image of an object captured by the image capturing section is similar to the reference image of each commodity meets a condition of determining a captured commodity as one commodity in the commodities corresponding to the reference image, the reporting unit is configured to report a situation that the captured commodity is determined as the commodity meeting the condition and corresponding to the reference image.

Abstract: A commodity recognition apparatus extracts the appearance feature amount of a commodity included in an image from the captured image, compares the appearance feature amount with the feature amount data of a recognition dictionary, and extracts the candidate of the commodity included in the image. When the selection input of the commodity is accepted from a plurality of commodity candidates, correction data are generated according to the feature amount data of the commodity of which the selection input is accepted and the appearance feature amount data, and the appearance feature amount of the commodity extracted by utilizing the correction data is corrected.

Abstract: A commodity recognition apparatus comprises a function of recognizing a commodity in an image from the image captured by an image capturing unit, and a function of recognizing a data code attached to the commodity in the image from the image, and can switch these functions by a switching unit. The commodity recognition apparatus outputs the information of the commodity recognized by commodity recognition processing or the information of the data code recognized by data code recognition processing to a POS terminal.

Abstract: In accordance with one embodiment, a commodity recognition apparatus receives, if a commodity is recognized as candidate of a target commodity by a recognition module, a selection input of the target commodity from the candidate; then adds appearance feature amount data to the feature amount data stored in a recognition dictionary file in association with an item of the target commodity the selection input of which is received; and meanwhile, writes log data containing the date and time when the appearance feature amount data is added to the recognition dictionary file in a log storage section.

Abstract: A commodity recognition apparatus comprises a feature amount extraction unit configured to extract the appearance feature amount of a commodity contained in an image captured by an image capturing section; a distance measurement unit configured to measure the distance from the image capturing section to a commodity captured by the image capturing section; a file selection unit configured to select a recognition dictionary file corresponding to the distance measured by the distance measurement unit from the recognition dictionary files for each distance.

Abstract: A commodity recognition apparatus extracts the appearance feature amount of a commodity included in an image from the captured image, compares the appearance feature amount with the feature amount data of a recognition dictionary, and extracts the candidate of the commodity included in the image. When the selection input of the commodity is accepted from a plurality of commodity candidates, correction data are generated according to the feature amount data of the commodity of which the selection input is accepted and the appearance feature amount data, and the appearance feature amount of the commodity extracted by utilizing the correction data is corrected.

Abstract: According to one embodiment, an information processing apparatus includes an image capturing module, an extraction module, a recognition module, a determination module and an output module. The image capturing module photographs a commodity. The extraction module extracts a feature amount of the commodity contained in the image photographed. The recognition module recognizes the commodity as a commodity candidate in the feature amount the commodity. The determination module determines whether or not there is a commodity sold in a disparate sales form for the standard commodity which is recognized by the recognition module as a candidate. The output module outputs in a selectable manner information concerning the standard commodity recognized by the recognition module as a candidate and the commodity sold in a disparate sales form for the standard commodity if the determination module determines that there is a commodity sold in a disparate sales form.

Abstract: A commodity recognition apparatus detects an appearance feature amount of a commodity included in an image captured by an image capturing unit, extracts a candidate of the commodity included in the captured image by comparing the data of the appearance feature amount with the feature amount data in a recognition dictionary file, recognizes a character string included in the image captured by the image capturing unit, and determines a commodity of a recognition target according to the recognized character string and the extracted candidate of the commodity.

Abstract: An information processing system comprises a plurality of information processing apparatus and a dictionary server (server). Each of the scanners includes a local storage device, a determination module and a local update module. The server includes a master storage device, a master update module and a master transmitting module. The determination module determines the commodity category to which a commodity belongs by comparing the feature amount extracted from the image showing the appearance of the commodity with the feature amount described in a local dictionary data stored in the local storage device. The master update module updates a master dictionary data stored in the master storage device. The master transmitting module transmits the master dictionary data updated by the master update module to the scanners. The local update module updates the local dictionary data according to the master dictionary data transmitted by the transmitting module.

Abstract: A recognition dictionary processing apparatus compares the data of the feature amount extracted from a commodity image with the feature amount data in a recognition dictionary file to recognize a candidate for the commodity contained in the image and outputs the recognized candidate commodity. The apparatus executes a first processing related to the update of the recognition dictionary file of the processing object if the commodity contained in the image is does not exist in the candidate commodities or a second processing unrelated to the update of the recognition dictionary file of the processing object if the commodity contained in the image exists in the candidate commodities.

Abstract: A dictionary registration apparatus compares the appearance feature amount of a commodity extracted from a captured image with the feature amount data of a recognition dictionary file to extract a candidate of the commodity contained in the image. If a plurality of commodities is extracted, the selection input of the commodity contained in the image from the plurality of commodity candidates is received. If the selection input of one commodity is received, the declaration input indicating whether or not supplement to the feature amount data stored in the recognition dictionary file for the selected commodity is executed is received. If the declaration input indicating the execution of supplement is received, the extracted appearance feature amount data is added to the recognition dictionary file as a feature amount data for the commodity the selection input of which is received.

Abstract: According to one embodiment, a commodity recognition apparatus includes a feature amount extraction module, a commodity recognition module and an output module. The feature amount extraction module extracts appearance feature amount of a commodity contained in an image photographed. The commodity recognition module compares data of the appearance feature amount extracted by the feature amount extraction module with the feature amount data of each part of the commodity, representing surface information of each part of the commodity subject to the recognition, that is previously stored in a recognition dictionary file, to recognize the commodity as a candidate of registration commodity contained in the image photographed. The output module outputs the recognition result of the commodity recognition module.

Abstract: According to embodiments, an object identification system is disclosed. The object identification system comprises a dictionary file comprising multiple records, each record including: an object identification code, and one or more standard images, wherein each standard image is related to one of the object identification codes. The object identification system further comprises a computation module configured to calculate a similarity by comparing an image data produced by an image sensor with the standard images in each record, and an identification module configured to identify one or more of the object identification codes based on the calculated similarity. The object identification system further comprises a production module configured to produce a graphical user interface that displays each of one or more standard images that are related to one of the object identification codes specified by a user.

Abstract: An apparatus recognizes an object from an image picked-up by an image pickup unit. The apparatus recognizes whether the object recognized by the image recognition unit is a commodity or a coupon. The apparatus outputs, if a commodity recognized by the object recognition unit is the object to which a coupon recognized by the object recognition unit, the information relative to the commodity and the information relative to the coupon applied to the commodity.

Abstract: A checkout system of an embodiment of the present disclosure has an image pickup unit, a computing unit, a display control unit, a receiving unit, and a registering unit. The image pickup unit takes pictures of a commodity at a prescribed frame rate. The computing unit computes a similarity coefficient between standard images of each commodity and the acquired image to identify possible matches to the acquired image. The display control unit displays information corresponding to the candidate matches with a high similarity coefficient on a display unit. The similarity coefficient is determined on the basis of a comparison between images of the object acquired by the image pickup unit and a standard image. The receiving unit receives selection of the commodity information on the display unit. The registering unit executes a registration treatment according to the selected information.