Abstract: A housing device (20) includes a housing portion (22), a light source (200), and an optical sensor (300). The housing portion (22) includes a holding body (100). An article is housed in the housing portion (22). The holding body (100) extends in one direction. The light source (200) is attached to the holding body (100) along the one direction. The light source (200) applies light toward at least a part of a space (S) located on a side of the holding body (100) with respect to the one direction of the holding body (100), a front of the space (S), and a back of the space (S). The optical sensor (300) is attached to the holding body (100). At least a part of a visual field of the optical sensor (300) faces in at least a part of the space (S), the front of the space (S), and the back of the space (S).

Abstract: An object recognition device (10) includes a holding body (100), a light source (200), and an optical sensor (300). The holding body (100) extends in one direction. The light source (200) is attached to the holding body (100) along the one direction. The light source (200) applies light toward at least a part of a space (S) located on a side of the holding body (100) with respect to the one direction of the holding body (100), a front of the space (S), and a back of the space (S). The optical sensor (300) is attached to the holding body (100). At least a part of a visual field of the optical sensor (300) faces in at least a part of the space (S), the front of the space (S), and the back of the space (S).

Abstract: An image acquisition unit (11) acquires a recognition processing image. A recognition unit (12) recognizes a product in the recognition processing image based on an estimation model. A registration unit (13) registers a result of the recognition in recognized product information. An output unit (14) outputs a result of the recognition. A correction reception unit (16) receives an input for correcting a result of the recognition. A correction unit (17) changes a result of the recognition to a result of the recognition after a correction, and also stores correction information in which a result of the recognition after a correction and the recognition processing image are associated with each other. A learning unit (18) performs relearning by using the recognition processing image stored as the correction information and updates the estimation model, when a number of the recognition processing image stored exceeds a predetermined value.

Abstract: The present invention provides a processing apparatus (10) including a product database management unit (11) that registers a registration target product in a product database, and a special information management unit (13) that, when a similar-appearance product being similar in appearance to the registration target product at a predetermined level or more is registered in the product database, registers both the registration target product and the similar-appearance product as first processing target products requiring first processing, and registers information associating the registration target product and the similar-appearance product.

Abstract: The present invention provides a processing apparatus (10) including: an object region detection unit (11) that detects, from an image, an object region being a region including an object; a reliability computation unit (12) that computes, for each product, reliability in which each of the products is included in an image of the object region; an image parameter computation unit (13) that computes an image parameter related to an image of the object region; a threshold value setting unit (14) that sets a threshold value of the reliability, based on the image parameter; and a product determination unit (15) that determines, based on the reliability of each of the products and the threshold value, the product included in an image of the object region.

Abstract: The present invention provides a processing apparatus (10) including an acquisition unit (11) that acquires an image including a product, a detection unit (12) that detects, from the image, a target region being a region including an observation target, a computation unit (13) that computes an evaluation value of an image of the target region, and a registration unit (14) that registers the image as an image for learning, when the evaluation value satisfies a criterion.

Abstract: The present invention provides a processing apparatus (10) including: an acquisition unit (11) that acquires a product pickup image indicating a scene of picking up a product from a first product shelf by a customer; a determination unit (12) that determines a product group displayed on the first product shelf, based on shelf-based display information indicating a product displayed on each product shelf; and a first recognition unit (13) that recognizes a product included in the product pickup image by recognition processing in which the determined product group is set as a collation target among pieces of product feature value information indicating a feature value of an external appearance of a plurality of products.

Abstract: The present invention provides a processing apparatus (10) including: an acquisition unit (11) that acquires a plurality of time-series images including a display area; a product detection unit (12) that detects a product from each of a plurality of the time-series images; an identity determination unit (13) that determines identity of products detected from the images that are different from each other; a display time management unit (14) that manages a display time of each detected product, based on a result of the detection and a result of the identity determination; and an output unit (15) that outputs information related to the display time of each detected product.

Abstract: An installation assistance apparatus (100) includes a first image capture unit and a second image capture unit that are placed in such a way as to face each other in a plan view, an acquisition unit (102) acquiring a first image from the first image capture unit, a detection unit (104) detecting a position of at least part of the second image capture unit in the first image by processing the first image, a determination unit (106) determining whether the position of the second image capture unit satisfies a criterion, and an output processing unit (108) causing a determination result by the determination unit (106) to be output.

Abstract: An image acquisition unit (11) acquires a recognition processing image. A recognition unit (12) recognizes a product in the recognition processing image based on an estimation model. A registration unit (13) registers a result of the recognition in recognized product information. An output unit (14) outputs a result of the recognition. A correction reception unit (16) receives an input for correcting a result of the recognition. A correction unit (17) changes a result of the recognition to a result of the recognition after a correction, and also stores correction information in which a result of the recognition after a correction and the recognition processing image are associated with each other. A learning unit (18) performs relearning by using the recognition processing image stored as the correction information and updates the estimation model, when a number of the recognition processing image stored exceeds a predetermined value.

Abstract: The present invention provides a processing apparatus (10) including: an acquisition unit (11) that acquires a plurality of images, captured by a plurality of cameras, of a product held by a customer with a hand; a detection unit (12) that detects an object from each of the plurality of images; a positional information generation unit (13) that generates positional information indicating a position in the image, for the each detected object; a product kind-related information generation unit (14) that generates product kind-related information that determines a product kind, for the each detected object; an extraction unit (15) that extracts a group of a plurality of objects which satisfies conditions with each other, the conditions being related to the positional information and the product kind-related information; and a product recognition result output unit (16) that outputs a product recognition result for the each extracted group.

Abstract: The present invention provides a processing apparatus (10) including: an acquisition unit (11) that acquires an image of a product held in a hand of a customer; an image analysis unit (12) that generates time-series information on a position of the product, based on the image; a determination unit (13) that determines whether the customer has performed a specific action for the product, based on a movement status of the product indicated by the generated time-series information; and a registration unit (14) that registers that the customer has performed the specific action.

Abstract: The present invention provides a processing apparatus (10) including: an acquisition unit (11) that acquires an image generated by a plurality of cameras for photographing a product picked up by a customer; a recognition unit (12) that recognizes the product, based on each of a plurality of images generated by the plurality of cameras; and a determination unit (13) that determines a final recognition result, based on a plurality of recognition results based on each of the plurality of images, and a size of a region where the product is present within each of the plurality of images.

Abstract: Disclosed is a display condition analysis device which is capable of analyzing the display conditions of products. This display condition analysis device is provided with: a product recognition means for recognizing, from a display image taken of products on display, the products in the display image; and a display condition analysis means for analyzing, on the basis of the positions of the recognized products, the display conditions of the products on display.

Abstract: A product detection apparatus (10) includes an acquisition unit (110), an image processing unit (120), and an output unit (130). The acquisition unit (110) acquires a plurality of images (one example of a first image) generated by an image capture unit (20) in association with a date and a time when the image is generated. These plurality of images are generated at different timings from each other. The image processing unit (120) detects a state (hereinafter, described as a first state) in which a new product is present on a product shelf (40) continuously for a reference time or longer by processing the plurality of images. The output unit (130) performs a first output when the first state is detected. The first output indicates that a product (50) has been returned to the product shelf (40) after the product (50) is taken out of the product shelf (40) by a customer.

Abstract: A body height estimating apparatus (10) includes an acquisition unit (110), an image processing unit (120), and an estimation unit (130). The acquisition unit (110) acquires an image generated by an image capture unit (20). The image processing unit (120) processes the image generated by the image capture unit (20), and thereby generates analysis data. The analysis data include a height of a palm and an angle of an arm of a person included in the image. The estimation unit (130) computes an estimated value of a body height of the person by using the height of the palm and the angle of the arm included in the analysis data.

Abstract: An article determination apparatus (10) is used with two image capture units (20). One image capture unit (20), an article shelf (40), and the other image capture unit (20) are arranged in this order. The acquisition unit (110) acquires images generated by the two image capture units (20). The image processing unit (120) generates first size data and second size data by processing the images acquired by the acquisition unit (110). The first size data and the second size data indicate the size of an area in which an article is captured in an image generated by one image capture unit (20) and by the other image capture unit (20), respectively. The determination unit (130) determines that an estimation result of the article name of the article by image processing is correct when a relation between the first size data and the second size data satisfies a criterion.

Abstract: Disclosed is a display condition analysis device which is capable of analyzing the display conditions of products. This display condition analysis device is provided with: a product recognition means for recognizing, from a display image taken of products on display, the products in the display image; and a display condition analysis means for analyzing, on the basis of the positions of the recognized products, the display conditions of the products on display.

Abstract: An object recognition device (10) includes a holding body (100), a light source (200), and an optical sensor (300). The holding body (100) extends in one direction. The light source (200) is attached to the holding body (100) along the one direction. The light source (200) applies light toward at least a part of a space (S) located on a side of the holding body (100) with respect to the one direction of the holding body (100), a front of the space (S), and a back of the space (S). The optical sensor (300) is attached to the holding body (100). At least a part of a visual field of the optical sensor (300) faces in at least a part of the space (S), the front of the space (S), and the back of the space (S).

Abstract: A housing device (20) includes a housing portion (22), a light source (200), and an optical sensor (300). The housing portion (22) includes a holding body (100). An article is housed in the housing portion (22). The holding body (100) extends in one direction. The light source (200) is attached to the holding body (100) along the one direction. The light source (200) applies light toward at least a part of a space (S) located on a side of the holding body (100) with respect to the one direction of the holding body (100), a front of the space (S), and a back of the space (S). The optical sensor (300) is attached to the holding body (100). At least a part of a visual field of the optical sensor (300) faces in at least a part of the space (S), the front of the space (S), and the back of the space (S).