Abstract: A measuring system 1 includes a server 200 identifying a kind of a product from a product image in which the product is included and a measuring device 100 identifying the kind of the product from the target image in which the product is included. The server 200 includes an acquisition unit that acquires a product image and product information relating to a kind of a product, a dividing unit that acquires a plurality of divided imaged by dividing the product image into a plurality of areas, and a generation unit that generates an identifying model by performing machine learning on the basis of a plurality of divided images extracted by an extraction unit that extracts a plurality of divided images satisfying a predetermined condition relating to a shown amount of the product from among the plurality of divided images.

Abstract: A measuring system 1 includes a server 200 identifying a kind of a product from a product image in which the product is included and a measuring device 100 identifying the kind of the product from the target image in which the product is included. The server 200 includes an acquisition unit that acquires a product image and product information relating to a kind of a product, a dividing unit that acquires a plurality of divided imaged by dividing the product image into a plurality of areas, and a generation unit that generates an identifying model by performing machine learning on the basis of a plurality of divided images extracted by an extraction unit that extracts a plurality of divided images satisfying a predetermined condition relating to a shown amount of the product from among the plurality of divided images.

Abstract: An X-ray inspection apparatus suppresses anomalies in inspection results caused by the X-ray inspection apparatus being used while an unsuitable setting is in effect. The X-ray inspection apparatus is provided with an inspection unit, a setting unit, a storage unit, an assessment unit, and a notification unit. The inspection unit inspects an irradiated article using detection data obtained by detecting X-rays. The setting unit sets a setting value used in inspection of the article by the inspection unit. The storage unit stores a detection value based on the detection data. The assessment unit assesses, on the basis of the detection value stored in the storage unit, whether or not the setting value set by the setting unit is suitable. When the assessment unit has assessed that the setting value is not suitable, the notification unit issues a notification to indicate that the setting value is not suitable.

Abstract: An article handling system includes: an article handling device including an article handling unit that executes handling with respect to an article, and a conveying unit configured to convey the article into the article handling unit and configured to convey out the article from the article handling unit; a remote device that is connected at a location spaced apart from the article handling device in a communication possible manner through a network, and includes a remote control unit that remotely controls the article handling device; an acquisition unit that acquires information on an ambient environment of the article handling device; a determination unit that determines whether or not a worker is present in a vicinity of the article handling device on the basis of the information on the ambient environment; and a transmission unit that transmits a determination result in the determination unit to the remote control unit.

Abstract: A weighing machine includes a weighing unit that measures the weight of a product placed on a weighing table, a calculation unit that calculates the price of the product based on the weight of the product measured by the weighing unit, and a control unit that sets the price calculated by the calculation unit when the product is removed from the weighing table.

Abstract: A product candidate presentation system (10) presents candidates of a product in order to allow a user to make a selection on the basis of a captured image of the product. The product candidate presentation system (10) comprises an acquisition part (13), an estimation part (14), a storage part (12), and a presentation part (15). The acquisition part (13) acquires an image of the product. The estimation part (14) estimates candidates of the product from a product group on the basis of the image. The storage part (12) stores products selected from the product group in the past as selection information. The presentation part (15) sorts candidates of the product estimated by the estimation part (14) as a first candidate group, sorts candidates of the product as a second candidate group on the basis of the selection information, and presents the first candidate group and the second candidate group.

Abstract: [Object] To provide an article discrimination system that can accurately infer the type of an article from an article image. [Solution] An article discrimination system includes an imager, an inference component, and a setting component. The imager captures an image of an article to acquire an article image. The inference component acquires first information which the inference component utilizes to infer the type of the article from the article image and, based on the first information acquired, infers one or plural types for the type of the article from among an article type group. The setting component sets at least one of types of articles that are available and types of articles that are not available among the article type group. The inference component preferentially infers, as the type of the article corresponding to the article image, the types of articles that are available over the types of articles that are not available.

Abstract: A measuring system 1 includes a server 200 identifying a kind of a product from a product image in which the product is included and a measuring device 100 identifying the kind of the product from the target image in which the product is included. The server 200 includes an acquisition unit that acquires a product image and product information relating to a kind of a product, a dividing unit that acquires a plurality of divided imaged by dividing the product image into a plurality of areas, and a generation unit that generates an identifying model by performing machine learning on the basis of a plurality of divided images extracted by an extraction unit that extracts a plurality of divided images satisfying a predetermined condition relating to a shown amount of the product from among the plurality of divided images.

Abstract: A weighing machine includes a weighing unit that measures the weight of a product placed on a weighing table, a calculation unit that calculates the price of the product based on the weight of the product measured by the weighing unit, and a control unit that sets the price calculated by the calculation unit when the product is removed from the weighing table.

Abstract: An X-ray inspection apparatus with is configured to suppress the incidence of anomalies in inspection results caused by the X-ray inspection apparatus being used while an unsuitable setting is in effect. The X-ray inspection apparatus is provided with an inspection unit, a setting unit a storage unit, an assessment unit, and a notification unit. The inspection unit inspects an article using detection data obtained by detecting X-rays with which the article has been irradiated. The setting unit sets a setting value used in inspection of the article by the inspection unit. The storage unit stores a detection value based on the detection data. The assessment unit assesses on the basis of the detection value stored in the storage unit, whether or not the setting value set by the setting unit is suitable. When the assessment unit has assessed that the setting value is not suitable, the notification unit issues a notification to indicate that the setting value is not suitable.