Abstract: An information processing apparatus (2000) includes a product recognition unit (2020), a shelf label recognition unit (2040), and a determination unit (2060). The product recognition unit (2020) recognizes the number of types of products or positions of each type of products from a target image. The shelf label recognition unit (2040) recognizes the number or positions of shelf labels indicating information of the products from the target image. The determination unit (2060) determines whether or not there is an error in a relationship between the recognized number of types of products and the recognized number of shelf labels or in a relationship between the recognized positions of each type of products and the recognized positions of the shelf labels.

Abstract: An information processing apparatus (2000) includes a product recognition unit (2020), a shelf label recognition unit (2040), and a determination unit (2060). The product recognition unit (2020) recognizes the number of types of products or positions of each type of products from a target image. The shelf label recognition unit (2040) recognizes the number or positions of shelf labels indicating information of the products from the target image. The determination unit (2060) determines whether or not there is an error in a relationship between the recognized number of types of products and the recognized number of shelf labels or in a relationship between the recognized positions of each type of products and the recognized positions of the shelf labels.

Abstract: An information processing apparatus (2000) includes a product recognition unit (2020), a shelf label recognition unit (2040), and a determination unit (2060). The product recognition unit (2020) recognizes the number of types of products or positions of each type of products from a target image. The shelf label recognition unit (2040) recognizes the number or positions of shelf labels indicating information of the products from the target image. The determination unit (2060) determines whether or not there is an error in a relationship between the recognized number of types of products and the recognized number of shelf labels or in a relationship between the recognized positions of each type of products and the recognized positions of the shelf labels.

Abstract: An information processing apparatus (2000) includes a product recognition unit (2020), a shelf label recognition unit (2040), and a determination unit (2060). The product recognition unit (2020) recognizes the number of types of products or positions of each type of products from a target image. The shelf label recognition unit (2040) recognizes the number or positions of shelf labels indicating information of the products from the target image. The determination unit (2060) determines whether or not there is an error in a relationship between the recognized number of types of products and the recognized number of shelf labels or in a relationship between the recognized positions of each type of products and the recognized positions of the shelf labels.

Abstract: An information processing apparatus (2000) includes a product recognition unit (2020), a shelf label recognition unit (2040), and a determination unit (2060). The product recognition unit (2020) recognizes the number of types of products or positions of each type of products from a target image. The shelf label recognition unit (2040) recognizes the number or positions of shelf labels indicating information of the products from the target image. The determination unit (2060) determines whether or not there is an error in a relationship between the recognized number of types of products and the recognized number of shelf labels or in a relationship between the recognized positions of each type of products and the recognized positions of the shelf labels.

Abstract: An information processing apparatus (2000) includes a product recognition unit (2020), a shelf label recognition unit (2040), and a determination unit (2060). The product recognition unit (2020) recognizes the number of types of products or positions of each type of products from a target image. The shelf label recognition unit (2040) recognizes the number or positions of shelf labels indicating information of the products from the target image. The determination unit (2060) determines whether or not there is an error in a relationship between the recognized number of types of products and the recognized number of shelf labels or in a relationship between the recognized positions of each type of products and the recognized positions of the shelf labels.

Abstract: A product registration apparatus (20) includes a comparison unit (22) and a registration unit (24). The comparison unit (22) compares a first frame and a second frame of a video. The second frame is generated at a time later than the first frame. The comparison unit (22) determines a product that is not included in the first frame but included in the second frame. Then, the registration unit (24) registers the determined product (product that is not included in the first frame but included in the second frame) as a payment target.

Abstract: There is provided a checkout apparatus (10) including an image data acquisition unit (11) which acquires data on an image, an image analysis unit (12) which recognizes a product in the image, using a feature value of appearance of each of a plurality of products registered in a feature value storage unit (14) and the image data; a registration unit (13) which registers the product recognized by the image analysis unit (12) as a checkout target, and a projection unit (15) which projects an image related to a checkout process on the product and/or a placement surface of a placement platform of the product.

Abstract: A store is operated more efficiently. There is provided an information processing system including at least one image capturer, a moving unit, and a controller. The at least one image capturer included in the information processing system captures a store shelf. The moving unit included in the information processing system moves the at least one image capturer. The controller included in the information processing system controls image capturing by the at least one image capturer and movement of the at least one image capturer by the moving unit at a predetermined timing.

Abstract: An information processing apparatus (2000) includes a product recognition unit (2020), a shelf label recognition unit (2040), and a determination unit (2060). The product recognition unit (2020) recognizes the number of types of products or positions of each type of products from a target image. The shelf label recognition unit (2040) recognizes the number or positions of shelf labels indicating information of the products from the target image. The determination unit (2060) determines whether or not there is an error in a relationship between the recognized number of types of products and the recognized number of shelf labels or in a relationship between the recognized positions of each type of products and the recognized positions of the shelf labels.

Abstract: An information processing apparatus (2000) includes a product recognition unit (2020), a shelf label recognition unit (2040), and a determination unit (2060). The product recognition unit (2020) recognizes the number of types of products or positions of each type of products from a target image. The shelf label recognition unit (2040) recognizes the number or positions of shelf labels indicating information of the products from the target image. The determination unit (2060) determines whether or not there is an error in a relationship between the recognized number of types of products and the recognized number of shelf labels or in a relationship between the recognized positions of each type of products and the recognized positions of the shelf labels.

Abstract: A checkout apparatus (10) includes an image data acquisition unit (11) that acquires data of an image; an image analysis unit (12) that recognizes a plurality of products in the image using a feature value of an exterior of each of the products registered in a feature value storage unit (14) and the data of the image; a reading necessity or non-necessity check unit (15) that extracts the product for which it is necessary to read a product code from among the recognized products, using an object-to-be-read storage unit (16) in which the product for which it is necessary to read the product code is registered in advance; and a reading unit (17) that reads the product code of the product extracted by the reading necessity or non-necessity check unit (15).

Abstract: A checkout apparatus (10) includes: an image data acquisition unit (11) that acquires data of an image; a product recognition unit (12) that recognizes, using a feature value of an exterior of each of a plurality of products registered in a product feature value storage unit (14) and the data of the image, a product in the image; a medium recognition unit (15) that recognizes, using a feature value of an exterior of each of payment media and/or point accumulation media used to accumulate a point in accordance with payment which are registered in a medium feature value storage unit (16) and the data of the image, a payment medium and/or a point accumulation medium in the image; and a payment processing unit (17) that performs a payment process using a recognition result by the medium recognition unit (15).

Abstract: A product registration apparatus (20) includes a comparison unit (22) and a registration unit (24). The comparison unit (22) compares a first frame and a second frame of a video. The second frame is generated at a time later than the first frame. The comparison unit (22) determines a product that is not included in the first frame but included in the second frame. Then, the registration unit (24) registers the determined product (product that is not included in the first frame but included in the second frame) as a payment target.

Abstract: A checkout apparatus (10) includes an image data acquisition unit (11) that acquires data of an image; an image analysis unit (12) that recognizes a plurality of products in the image using a feature value of an exterior of each of the products registered in a feature value storage unit (14) and the data of the image; a reading necessity or non-necessity check unit (15) that extracts the product for which it is necessary to read a product code from among the recognized products, using an object-to-be-read storage unit (16) in which the product for which it is necessary to read the product code is registered in advance; and a reading unit (17) that reads the product code of the product extracted by the reading necessity or non-necessity check unit (15).

Abstract: There is provided a checkout apparatus (10) including an image data acquisition unit(11) which acquires data on an image, an image analysis unit (12) which recognizes a product in the image, using a feature value of appearance of each of a plurality of products registered in a feature value storage unit (14) and the image data; a registration unit (13) which registers the product recognized by the image analysis unit (12) as a checkout target, and a projection unit (15) which projects an image related to a checkout process on the product and/or a placement surface of a placement platform of the product.

Abstract: A product recognition unit (2020) recognizes a product from a target image on which the product and an electronic shelf label are imaged. A shelf label recognition unit (2040) extracts a shelf label ID from the target image. The shelf label recognition unit (2040) recognizes an electronic shelf label (3000) from the target image. A determination unit (2060) determines whether or not association of product information and the shelf label ID regarding the product and the electronic shelf label a closest product within the image, and product information and the shelf label ID of the electronic shelf label (3000) matches association of product information and a shelf label ID of relation information acquired by associating product information of the product and the shelf label ID based on the product and shelf label ID recognized from the target image.

Abstract: An information processing apparatus (2000) includes a product recognition unit (2020), a shelf label recognition unit (2040), and a determination unit (2060). The product recognition unit (2020) recognizes the number of types of products or positions of each type of products from a target image. The shelf label recognition unit (2040) recognizes the number or positions of shelf labels indicating information of the products from the target image. The determination unit (2060) determines whether or not there is an error in a relationship between the recognized number of types of products and the recognized number of shelf labels or in a relationship between the recognized positions of each type of products and the recognized positions of the shelf labels.

Abstract: A product recognition unit (2020) recognizes a product from an image on which the product and an electronic shelf label are imaged (target image). A shelf label recognition unit (2040) extracts a shelf label ID of the electronic shelf label from the target image. The shelf label recognition unit (2040) recognizes a position of the electronic shelf label (3000) from the target image. A relation information generation unit (2060) generates relation information based on a position of the recognized product and the position of the recognized electronic shelf label (3000). The relation information associates product information of the recognized product with the shelf label ID of the recognized electronic shelf label (3000) closest to the product.