Abstract: An article reading device according to an embodiment includes a display device and an image capturing device that generates an image of an article. A processor extracts, from the image, first feature data for recognizing the article and second feature data for determining whether to recognize the article based on the first feature data. The processor determines whether to recognize the article. If it is determined to recognize the article, the processor recognizes the article based on the extracted first feature data, and controls the display device to display a recognition result. If it is determined to not recognize the article, extract a barcode from the image, the processor identifies the article based on the extracted barcode, and control the display device to display an identification result. The processor performs a transaction settlement with respect to the recognition result, if any, and the identification result, if any.

Abstract: An article reading device according to an embodiment includes a display device and an image capturing device that generates an image of an article. A processor extracts, from the image, first feature data for recognizing the article and second feature data for determining whether to recognize the article based on the first feature data. The processor determines whether to recognize the article. If it is determined to recognize the article, the processor recognizes the article based on the extracted first feature data, and controls the display device to display a recognition result. If it is determined to not recognize the article, extract a barcode from the image, the processor identifies the article based on the extracted barcode, and control the display device to display an identification result. The processor performs a transaction settlement with respect to the recognition result, if any, and the identification result, if any.

Abstract: A reading apparatus according to an embodiment includes a captured-image reading section, an article detecting section, an object recognizing section, and a code reading section. The captured-image reading section reads, from an imaging apparatus that captures a captured image associated with distance information indicating distances to articles, the captured image associated with the distance information. The article detecting section detects images of articles in a preset predetermined imaging region in the captured image. The object recognizing section performs, based on the distance information, object recognition processing of an object, the object being an article closest from the imaging apparatus among the articles.

Abstract: A reading device includes display and an image capturing device to image objects on a checkout counter. A control unit receives a first image including at least one object on the checkout counter, extracts a first object that is closest to the image capturing device in the first image, then displays an image of the first object and a frame around the first object. Generic object recognition is performed on the first object. A second image is received from the image capturing device. The control unit determines whether the first object is still closest to the image capturing device. A second object is extracted from the second image if the first object is no longer closest to the image capturing device and the second object is the one closest to the image capturing device in the second image.

Abstract: An article reading device according to an embodiment includes a display device and an image capturing device that generates an image of an article. A processor extracts, from the image, first feature data for recognizing the article and second feature data for determining whether to recognize the article based on the first feature data. The processor determines whether to recognize the article. If it is determined to recognize the article, the processor recognizes the article based on the extracted first feature data, and controls the display device to display a recognition result. If it is determined to not recognize the article, extract a barcode from the image, the processor identifies the article based on the extracted barcode, and control the display device to display an identification result. The processor performs a transaction settlement with respect to the recognition result, if any, and the identification result, if any.

Abstract: A reading apparatus according to an embodiment includes a captured-image reading section, an article detecting section, an object recognizing section, and a code reading section. The captured-image reading section reads, from an imaging apparatus that captures a captured image associated with distance information indicating distances to articles, the captured image associated with the distance information. The article detecting section detects images of articles in a preset predetermined imaging region in the captured image. The object recognizing section performs, based on the distance information, object recognition processing of an object, the object being an article closest from the imaging apparatus among the articles.

Abstract: An information processing device on a shopping basket or cart includes a communication interface configured to communicate with an imaging device installed on the shopping basket or cart and beacons installed on a product display area displaying a commodity, and a processor configured to, identify a commodity by either reading a commodity code in the image or performing object recognition on the image, and, according to a signal received from at least one beacon, switch between a first mode, in which the commodity can be identified by reading the commodity code, and a second mode, in which the commodity can be identified by either reading the commodity code or object recognition.

Abstract: An object recognition system includes a storage device, a reading unit, an output device, and a processor. The storage device stores a dictionary containing attributes of a plurality of registered objects. The attributes includes at least a category and feature values. The reading unit includes an image capturing device. The processor registers a new object by (i) extracting a feature value of the new object from an image of the new object captured by the image capturing device, (ii) comparing the extracted feature value with feature values of registered objects that are registered in the dictionary to calculate a similarity degree therebetween, (iii) registering the extracted feature value in the dictionary as a determination criteria for an object recognition, and (iv) outputting a notification through the output device prior to the registering, upon a result of the comparing meets a predetermined condition.

Abstract: A registration apparatus comprises a first control module configured to switch an operation mode from a store clerk operation mode in which registration processing of a purchased commodity is performed by an operation of a store clerk to a customer operation mode in which the registration processing is performed by an operation of a customer, and vice versa. A settlement apparatus comprises a second control module configured to switch an operation mode from a store clerk operation mode in which settlement processing is performed by an operation of the store clerk to a customer operation mode in which the settlement processing is performed by an operation of the customer, and vice versa. The first and second control modules switch the operation mode from the store clerk operation mode to the customer operation mode if a sign-off is performed, and vice versa if a sign-on is performed.

Abstract: A check-out system according to an embodiment includes an image capturing device that captures an image of a merchandise item. A processor determines whether the captured image includes a symbol on the merchandise item corresponding to a merchandise ID. If the captured image includes the symbol, the processor retrieves the merchandise ID. If the captured image does not include the symbol, the processor identifies the merchandise item based on an object recognition processing. The processor retrieves a corresponding merchandise ID and a merchandise category. The processor determines whether the merchandise item is likely to include the symbol based on the merchandise category. If the merchandise item likely includes the symbol, the processor controls a display to display a message instructing an operator to check for the symbol. The processor performs a settlement processing with respect to the merchandise items corresponding to one or more of the retrieved merchandise IDs.

Abstract: A reading device includes display and an image capturing device to image objects on a checkout counter. A control unit receives a first image including at least one object on the checkout counter, extracts a first object that is closest to the image capturing device in the first image, then displays an image of the first object and a frame around the first object. Generic object recognition is performed on the first object. A second image is received from the image capturing device. The control unit determines whether the first object is still closest to the image capturing device. A second object is extracted from the second image if the first object is no longer closest to the image capturing device and the second object is the one closest to the image capturing device in the second image.

Abstract: A sales data processing apparatus includes an imaging unit and a control unit. The control unit is configured to cause the imaging unit to capture an image of an item, identify a candidate item corresponding to the item by object recognition processing on the image, transmit identification information for the candidate item and the image of the item to an external device; and then receive a confirmation result from the external device indicating whether or not the item included in the image matches the candidate article according to the transmitted identification information.

Abstract: A sales data processing terminal for a retail location, includes an image capturing device to capture an image of an item being registered in a sales transaction or a gift certificate presented for settlement of the sales transaction. A controller is configured to identify the item in the image by comparing the image to stored commodity reference information for items for sale at the retail location, and identify whether the gift certificate is a type accepted at the retail location for settlement by comparing the gift certificate in the image to stored gift certificate reference information.

Abstract: An object recognition apparatus includes an image capturing unit, a storage unit that stores feature data of a plurality of reference objects, a display unit, and a processor. The processor calculates degrees of similarity between an object in the captured image and a plurality of reference objects, based on the feature data of the reference objects, selects some of the reference objects as candidates objects based on the calculated degrees of similarity, and controls the display unit to display the candidate objects and a message to select one of the candidate objects. If no candidate object is selected within a predetermined time after the candidate objects and the message have been displayed, and thereafter a new image is captured by the image capturing unit, the processor removes the message and calculates degrees of similarity between an object in the newly captured image and the plurality of reference objects.

Abstract: According to one embodiment, there is provided a reading apparatus for registering one or more commodities. The reading apparatus includes a display, a storage device, an image sensor, and a processor. The processor is configured to control the image sensor to capture an image of one or more commodities and measure a distance to each of the commodities, select one of the commodities, the distance of which from the image sensor is the smallest, control the display to display the captured image such that the selected commodity is highlighted, and execute a registration process on the selected commodity using commodity information about the selected commodity retrieved from the storage device.

Abstract: A commodity registration apparatus configured to perform object recognition includes an interface connected to receive captured images, a storage unit storing a dictionary for the object recognition, and a processor.

Abstract: In one embodiment, an information processing apparatus has an imaging device, a memory, a display and a processor. The processor extracts, based on similarities of an imaged image by the imaging device and reference images of a plurality of commodities which are previously stored in the memory, at least one commodity from the plurality of commodities as a candidate for the commodity imaged by the imaging device. The processor controls the display to display the extracted candidates for commodity in the commodity selection screen in a display form in which the extracted candidates for commodity are weighted in accordance with sizes of the similarities.

Abstract: An object recognition system according to an embodiment includes a server and at least one point of sale device. A storage device stores a recognition dictionary that includes, for each of a plurality of articles, at least one feature value for identifying the corresponding article, and an effective period indicating a period during which the corresponding article is sold. The server acquires a present date, and for each of the plurality of articles sold in the store, determines whether the present date is included in the effective period. The server generates an effective recognition dictionary that includes the at least one feature value of each of the plurality of articles sold in the store for which the present date is included in the corresponding effective period. A communication device transmits, at a predetermined time, the effective recognition dictionary to the at least one point of sale device.

Abstract: A holding-manner learning apparatus includes a storage part and a hardware processor that functions as a designating module, an acquisition module, a calculation module, a storing module, and an output module. The designating module designates a target object from storage storing therein a feature amount for recognizing an object. The acquisition module acquires an image by photographing an object. The calculation module calculates a similarity degree between the feature amount of the object in the image and the feature amount of the target object. The storing module stores, according to the similarity degree calculated, the image and similarity degree in a first table or a second table in an associated manner. The output module outputs an electronic file presenting the image and similarity degree in the first table to indicate a proper holding manner and/or the image and similarity degree in the second table to indicate an improper holding manner.

Abstract: An object recognition system includes a storage device, a reading unit, an output device, and a processor. The storage device stores a dictionary containing attributes of a plurality of registered objects. The attributes includes at least a category and feature values. The reading unit includes an image capturing device. The processor registers a new object by (i) extracting a feature value of the new object from an image of the new object captured by the image capturing device, (ii) comparing the extracted feature value with feature values of registered objects that are registered in the dictionary to calculate a similarity degree therebetween, (iii) registering the extracted feature value in the dictionary as a determination criteria for an object recognition, and (iv) outputting a notification through the output device prior to the registering, upon a result of the comparing meets a predetermined condition.