Abstract: A vehicle display device includes a display that is mounted on a vehicle and superimposes and displays an image on a real landscape in front with respect to a front windshield, a controller that controls the display, and a position information acquisition unit that acquires a position of a preceding vehicle. The controller calculates a first virtual straight line that connects the position of the preceding vehicle and a position of the vehicle. When the controller determines that the first virtual straight line is along a straight direction of the vehicle, the controller displays a marker image at a position below the preceding vehicle. When the controller determines that the first virtual straight line is inclined with respect to the straight direction, the controller performs display movement control to display the marker image so as to be shifted from the position below the preceding vehicle.

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: 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 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: 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.

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 simulated-image output controller displays a subject-simulating image, serving as a simulated image representing a subject, on an output part. A subject data acquisition part reads one of or both of subject attribute data, which is stored in connection with an identification of the subject-simulating image, and subject-related data, relating to the subject attribute data, from a storage unit based on an instruction operation concerning the subject-simulating image being output on the output part. An image data acquisition part acquires image data which is produced by taking a shot of the subject. A subject information output controller outputs one of or both of the subject attribute data and the subject-related data, relating to the subject attribute data, which are read by the subject data acquisition part, in connection with the image data displayed on the output part.

Abstract: On a glass substrate, a prism sheet for condensing rays emitted from an emitting layer, a circularly polarizing filter, and an antireflection film are laminated. The prism sheet is provided for each of red, green and blue display elements of the emitting layer and is divided by separators so as not to interfere one another. Control electrodes are laminated on and under the emitting layer. A positive pole is formed from ITO film and a hole carrying layer; and a negative pole is formed from a metal electrode and an electron carrying electrode.