Abstract: A sales management system includes a first device including a first processor that is configured to detect a customer moving an item of merchandise in an extraction direction away from a merchandise display, a second device including a second processor that is configured to detect movement of an item of merchandise from the merchandise display and determine a movement direction thereof, and a third processor that is configured to determine whether the extraction and movement directions are substantially identical when the first processor detects the customer moving an item away from the merchandise display and the second processor detects movement of an item from the merchandise display at substantially the same time, and determine the item as a first merchandise to be purchased by the customer when the extraction and movement directions are determined to be the substantially identical.

Abstract: A camera abnormality detecting device according to an embodiment includes an acquiring section and a notifying section. The acquiring section acquires, from an image photographed by a camera provided in a conveyance body to be capable of photographing an inside of a basket placed on a basket receiving section of the conveyance body, an image of a region where an upper edge of the basket is surmised to be reflected. The notifying section notifies, based on the image acquired by the acquiring section, whether an angle of view of the camera is blocked.

Abstract: A detection device for detecting a fraud behavior of a customer at a point-of-sale (POS) terminal in a store, including a first interface circuit configured to receive a first image of the customer from a camera, a second interface circuit configured to receive a second image that is displayed on the POS terminal, and a processor configured to acquire one or more first images via the first interface circuit and determine one or more behaviors of the customer based on the acquired first images, acquire one or more second images via the second interface circuit and determine, based on the acquired second images, one or more operations that have been made by the customer on the POS terminal, and determine that one of the behaviors is fraudulent based on one or more of the operations that have been made by the customer before said one of the behaviors.

Abstract: A detection device for detecting a fraud behavior of a customer at a point-of-sale (POS) terminal in a store, including a first interface circuit configured to receive a first image of the customer from a camera, a second interface circuit configured to receive a second image that is displayed on the POS terminal, and a processor configured to acquire one or more first images via the first interface circuit and determine one or more behaviors of the customer based on the acquired first images, acquire one or more second images via the second interface circuit and determine, based on the acquired second images, one or more operations that have been made by the customer on the POS terminal, and determine that one of the behaviors is fraudulent based on one or more of the operations that have been made by the customer before said one of the behaviors.

Abstract: According to an embodiment, a store management system includes a store entry management device and a sales management device. The store entry management device reads identification data, of a shopper, for using the electronic receipt service from an information terminal of a shopper who wants to enter the store. The sales management device causes the store entry management device to permit the shopper to enter the store when the settlement data can be acquired based on the read shopper identification data.

Abstract: An object detection system includes a first detection device configured to control a first camera to acquire a first image of a container and detect an object in the container based on the first image, and a second detection device configured to control a second camera to acquire a second image of the container. The second image is a more detailed or accurate image than the first image for detecting the object in the container based on the second image. The first detection device is further configured to train a learning model for detecting the object in the container based on the first image using detection results from the second detection device as an indication of the correct result, and then use the trained learning model for detecting the object in the container based on the first image.

Abstract: A sales management system includes a first device including a first processor that is configured to detect a customer moving an item of merchandise in an extraction direction away from a merchandise display, a second device including a second processor that is configured to detect movement of an item of merchandise from the merchandise display and determine a movement direction thereof, and a third processor that is configured to determine whether the extraction and movement directions are substantially identical when the first processor detects the customer moving an item away from the merchandise display and the second processor detects movement of an item from the merchandise display at substantially the same time, and determine the item as a first merchandise to be purchased by the customer when the extraction and movement directions are determined to be the substantially identical.

Abstract: A sales management system includes a first device including a first processor that is configured to detect a customer moving an item of merchandise in an extraction direction away from a merchandise display, a second device including a second processor that is configured to detect movement of an item of merchandise from the merchandise display and determine a movement direction thereof, and a third processor that is configured to determine whether the extraction and movement directions are substantially identical when the first processor detects the customer moving an item away from the merchandise display and the second processor detects movement of an item from the merchandise display at substantially the same time, and determine the item as a first merchandise to be purchased by the customer when the extraction and movement directions are determined to be the substantially identical.

Abstract: A detection device for detecting a fraud behavior of a customer at a point-of-sale (POS) terminal in a store, including a first interface circuit configured to receive a first image of the customer from a camera, a second interface circuit configured to receive a second image that is displayed on the POS terminal, and a processor configured to acquire one or more first images via the first interface circuit and determine one or more behaviors of the customer based on the acquired first images, acquire one or more second images via the second interface circuit and determine, based on the acquired second images, one or more operations that have been made by the customer on the POS terminal, and determine that one of the behaviors is fraudulent based on one or more of the operations that have been made by the customer before said one of the behaviors.

Abstract: According to one embodiment, a feature amount management apparatus includes a data generation unit, an ID generation unit, a storage unit, and a deletion unit. The data generation unit generates, from an image, feature amount data indicating a feature amount of biometric information of a person. The ID generation unit generates identification information including expiration date information used for determining an expiration date of the feature amount data. The storage unit stores the feature amount data in correlation with the identification information. The deletion unit deletes the feature amount data when the feature amount data pass the expiration date.

Abstract: An object detection system includes a first detection device configured to control a first camera to acquire a first image of a container and detect an object in the container based on the first image, and a second detection device configured to control a second camera to acquire a second image of the container. The second image is a more detailed or accurate image than the first image for detecting the object in the container based on the second image. The first detection device is further configured to train a learning model for detecting the object in the container based on the first image using detection results from the second detection device as an indication of the correct result, and then use the trained learning model for detecting the object in the container based on the first image.

Abstract: A camera abnormality detecting device according to an embodiment includes an acquiring section and a notifying section. The acquiring section acquires, from an image photographed by a camera provided in a conveyance body to be capable of photographing an inside of a basket placed on a basket receiving section of the conveyance body, an image of a region where an upper edge of the basket is surmised to be reflected. The notifying section notifies, based on the image acquired by the acquiring section, whether an angle of view of the camera is blocked.

Abstract: A camera abnormality detecting device according to an embodiment includes an acquiring section and a notifying section. The acquiring section acquires, from an image photographed by a camera provided in a conveyance body to be capable of photographing an inside of a basket placed on a basket receiving section of the conveyance body, an image of a region where an upper edge of the basket is surmised to be reflected. The notifying section notifies, based on the image acquired by the acquiring section, whether an angle of view of the camera is blocked.

Abstract: According to an embodiment, a work monitoring system monitors work in a work zone where the work is performed in accordance with a work instruction on a work target conveyed from the work zone to a correction zone where the work is corrected. The work monitoring system determines, on the basis of a result of monitoring the work, whether or not inappropriate work different from work designated by the work instruction has been performed and identifies the work target that is a target of the work.

Abstract: An article display system includes display furniture on which articles can be displayed. A first sensor detects states of the articles on the display furniture and is fixed to the display furniture. A second sensor detects a moving body within a monitoring region. The second sensor is fixed to the display furniture. A storage device stores coordinate information representing a position of the display furniture and the monitoring region. A control device is configured to identify, based on detection results from the first and second sensors, an article having a state that has changed and the moving body that changed the state of the article. The coordinate information is represented by a coordinate system having an origin set at a corner of on the piece of display furniture.

Abstract: According to one embodiment, a feature amount management apparatus includes a data generation unit, an ID generation unit, a storage unit, and a deletion unit. The data generation unit generates, from an image, feature amount data indicating a feature amount of biometric information of a person. The ID generation unit generates identification information including expiration date information used for determining an expiration date of the feature amount data. The storage unit stores the feature amount data in correlation with the identification information. The deletion unit deletes the feature amount data when the feature amount data pass the expiration date.

Abstract: In accordance with an embodiment, a data processing apparatus includes a memory configured to store a determination table, a camera configured to image a commodity package, and a processor. The processor is configured to extract an area having a predetermined shape from the imaged commodity package, recognize characters in the extracted area; determine whether the recognized characters meet a criterion described in the determination table, and output the recognized characters to a display or a printer connected to the data processing apparatus when the recognized characters meet the criterion.

Abstract: A sales management system includes a first device including a first processor that is configured to detect a customer moving an item of merchandise in an extraction direction away from a merchandise display, a second device including a second processor that is configured to detect movement of an item of merchandise from the merchandise display and determine a movement direction thereof, and a third processor that is configured to determine whether the extraction and movement directions are substantially identical when the first processor detects the customer moving an item away from the merchandise display and the second processor detects movement of an item from the merchandise display at substantially the same time, and determine the item as a first merchandise to be purchased by the customer when the extraction and movement directions are determined to be the substantially identical.

Abstract: In accordance with an embodiment, a weighing apparatus includes a plurality of weighing scales and a processor. Each of the plurality of weighing scales measures weight of the object to be weighed which is placed on the plurality of weighing scales. The processor calculates net weight of the object to be weighed on the basis of the weight measured by each of the plurality of weighing scales.

Abstract: According to an embodiment, a store management system includes a store entry management device and a sales management device. The store entry management device reads identification data, of a shopper, for using the electronic receipt service from an information terminal of a shopper who wants to enter the store. The sales management device causes the store entry management device to permit the shopper to enter the store when the settlement data can be acquired based on the read shopper identification data.