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: 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 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: 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: 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: 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: An information processing system includes an image capturing device, a storage device in which first and second reference data are stored, and a processor. The first reference data include reference image data for a plurality of code-symbolized items, and the second reference data include reference image data unique to each of non-code-symbolized items. The processor is configured to control the image capturing device to start image capturing and start a code symbol detection process with respect to a captured image of a target item, and determine whether or not the target item is a code-symbolized item based on the first reference data. Further, the processor performs a first identification process based on detection of a code symbol on the target item when the target item is the code-symbolized item, and a second identification process based on the second reference data, when the target item is not the code-symbolized item.

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 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: 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: In accordance with an embodiment, an image processing apparatus comprises a designation module, a registration module and a display control module. The designation module designates an object. The registration module registers information of the object designated by the designation module. The display control module enables a display section to display an operation section for instructing the registration module based on the information registered by the registration module.

Abstract: An information processing apparatus comprises a detection module, an extraction module, a display control module and an operation control module. The detection module detects an object contained in an image data captured by an image capturing section. The extraction module extracts candidates corresponding to the object photographed by the image capturing section based on a similarity degree between a feature amount of the object extracted from the image data and a feature amount of each object for comparison in the detected object. The display control module displays the image data captured by the image capturing section and the extracted candidates. The operation control module receives an operation for selecting the displayed candidate. The display control module displays another image data from which the detection module detects the object, instead of the image data displayed if no object is detected while the operation for selecting the candidate is not received.

Abstract: When decoding a datacode based on moving image data output from an image sensing device, moving image data output from the image sensing device is input. An image display output unit processes the moving image data and displays it on the display screen of a display as a real-time moving image.

Abstract: Moving image data output from an image sensing device is input. An image display output unit processes the moving image data and displays it on the display screen of a display as a real-time moving image. A decode processing notification unit displays the moving image data output from the image sensing device on the display screen of the display as a still image for a predetermined time from decoding of the datacode by a decoding unit.

Abstract: A commodity registration processing apparatus detects, with a commodity sensor, whether a commodity is present in an imaging area of an imaging device and, when the commodity sensor detects that the commodity is present in the imaging area, decodes a commodity code barcode or the commodity code barcode and a discount barcode on the basis of image data acquired by imaging by the imaging device, and performs registration and price adjustment processing for the commodity on the basis of a decoding result of the commodity code barcode or the decoding result of the commodity code barcode and a decoding result of the discount barcode.

Abstract: When an error occurs in decoding of coded data such as a barcode, the error in the decoding of the coded data is analyzed based on an image acquisition status of the coded data in image data acquired by image acquisition performed by an image acquisition section. Then, handling information allowing the coded data to be decoded is provided depending on a result of the analysis.

Abstract: A case has a front surface facing an image sensing area, a concave formed on the front surface, and an opening on the bottom of the concave. The case accommodates an area image sensor to image-sense the image sensing area through the opening, and an illumination device to illuminate the entire image sensing area. There are provided a photoelectric converting unit converting an output of the area image sensor into an electric image signal, and an output unit outputs an image signal converted by the photoelectric converting unit to an image processing device. The case also accommodates a lens to form an image of the image sensing area on the area image sensor with a depth of field so as to the image processing device obtain a resolution to enable analysis of a code symbol included in the image signal. A lens side limit position of the depth of field corresponds with the position of the front surface of the case.

Abstract: Moving image data output from an image sensing device is input. An image display output unit processes the moving image data and displays it on the display screen of a display as a real-time moving image. A decode processing notification unit displays the moving image data output from the image sensing device on the display screen of the display as a still image for a predetermined time from decoding of the datacode by a decoding unit.

Abstract: Moving image data output from an image sensing device is input. An image display output unit processes the moving image data and displays it on the display screen of a display as a real-time moving image. A decode processing notification unit displays the moving image data output from the image sensing device on the display screen of the display as a still image for a predetermined time from decoding of the datacode by a decoding unit.