Abstract: An information processing device, to be used in an image capturing device that illuminates an object by an illumination means and captures reflected light from the object as a reflection image by a capturing means, includes a determination means for determining an irradiation angle range for irradiating the object by the illumination means, on the basis of two types of inclination statistic values that are values corresponding to the inclination distribution of the unevenness existing on a surface of the object.

Abstract: An image of an inspection surface of a product shot with a first imaging unit is divided into partial area images. For each partial area, a narrow-angle partial area image shot with a second imaging unit is acquired under shooting conditions in a pre-learning table in which the conditions and IDs are set. For each partial area, the narrow-angle partial area image suitable for inspection is selected, an inspection image is generated, and an anomaly of the inspection surface is detected based on the inspection image. For each partial area, whether each condition is effective is determined based on a frequency of the ID included by the inspection image. For each partial area, whether a predetermined condition is established is determined, and, with respect to the partial area in which the predetermined condition is established, a post-learning table is established in which only the condition determined to be effective is set.

Abstract: An object management system includes an acquisition means for acquiring an image in which a surface of a registration target object, having a circle and a handwritten character drawn thereon, is captured, a generation means for detecting an ellipse corresponding to the circle from the image and generating a registration image in which the image is applied with projective transformation such that the ellipse becomes a circle, and a registration means for writing the registration image into a storage means as data for determining the sameness of the registration target object.

Abstract: A matching position output system includes: a shooting means configured to shoot an image of an object; a generating means configured to generate information identifying the object from the shot image of the object; and an output means configured to, based on the generated information identifying the object, acquire information of a matching position of the object from a recording means configured to associate and record the information identifying the object and the information of the matching position of the object, and output the information of the matching position of the object.

Abstract: An individual identification apparatus that identifies an individual product having a pattern of irregularities randomly formed on a surface thereof includes an imaging unit and an extracting unit. The imaging unit is configured to acquire an image obtained by capturing a date mark formed on the product. The extracting unit is configured to extract a feature value related to the pattern of the irregularities from the image as data identifying the individual product.

Abstract: An individual identification apparatus includes a setting means for setting an imaging condition for imaging a matching area of an object by a camera, an acquisition means for acquiring a matching image that is an image obtained by imaging the matching area of the object by the camera, a matching means for performing matching between the matching image and a registration image registered in advance, and a control means. The control means repeats processing of acquiring the matching image by the acquisition means and matching between the matching image and the registration image by the matching means, while changing the imaging condition set by the setting means, and determines an imaging condition in which a matching degree between the matching image and the registration image becomes a preset threshold or larger. The matching means identifies an individual based on the matching image captured under the determined imaging condition.

Abstract: A delivery management server, connected over a network to a user terminal used by a receiver who is a delivery destination of a delivery object or a carrier who delivers the delivery object, includes registration means for writing identification information of the delivery object and a first image in which a random pattern on a surface of the delivery object is captured, into a storage means in association with each other; matching means for performing matching between a second image in which a random pattern on a surface of the delivery object is captured, received from the user terminal, and the first image stored in the storage means; and confirmation recording means for, based on the matching result, recording, on the storage means, confirmation information that gives a confirmation that the user of the user terminal received the delivery object identified by the identification information associated with the first image.

Abstract: A system that manages an individual of a PTP sheet includes an acquiring unit configured to acquire an image of a PTP sheet captured from an opening side or a projecting side of a pocket part, an extracting unit configured to extract a feature value depending on a local positional relation between a print part on a cover film in the image and a grid pattern formed on the cover film during thermal bonding, and a generating unit configured to generate individual identification information used for identification of the PTP sheet from the extracted feature value.

Abstract: An image matching device includes a weight determination unit and a matching unit. Based on a synthesized frequency characteristic obtained by synthesizing a frequency characteristic of a first image with a frequency characteristic of a second image and an ideal synthesized frequency characteristic that is an ideal one obtained by synthesizing the frequency characteristic of the first image with the frequency characteristic of the second image, the weight determination unit determines a weight relating to frequency in performing matching of the first image and a third image. The matching unit performs matching of the first image and the third image based on the determined weight.

Abstract: An image matching apparatus according to the present invention includes: a common region specification unit configured to specify a common region between a first image and a second image; a date replacement unit configured to generate a first replaced image in which a brightness value of the common region of the first image is replaced based on a pixel in the first image, and a second replaced image in which a brightness value of the common region of the second image is replaced based on a pixel in the second image; and a matching unit configured to perform matching between the first image and the second image based on frequency characteristics of the first replaced image and the second replaced image.

Abstract: An image capturing device, configured to illuminate an object by an illumination means and capture reflected light from the object as a reflection image by a capturing means, includes an irradiation angle range determination means. The irradiation angle range determination means determines, assuming that a group of pieces of unevenness existing at the same position on the surfaces of a plurality of individuals of an object is an unevenness group, an irradiation angle range for irradiating the object by the illumination means, on the basis of a statistic value of the inclination angles of the unevenness group in which variations in the inclination angles of the unevenness between individuals is larger than other unevenness groups, among the plurality of unevenness groups.

Abstract: An individual identification system includes: a storing unit for storing an image capture parameter in association with data characterizing a surface of a reference object; an acquiring unit that, when data characterizing a surface of an object to be matched is input, calculates an approximation degree between the input data and each data stored in the storing unit, and acquires the image capture parameter applied to the object to be matched from the storing unit based on the calculated approximation degree; a condition setting unit that sets an image capture condition determined by the acquired image capture parameter; an image capturing unit that acquires an image of the surface of the object to be matched under the set image capture condition; an extracting unit that extracts a feature value from the acquired image; and a matching unit that matches the extracted feature value against a registered feature value.

Abstract: A board management system includes an extraction means and a generation means. The extraction means extracts a feature amount that depends on position deviation, for each of a plurality of specific components determined in advance based on a degree of variation in the component mounting position, among a plurality of components in a board image in which a board is captured. The generation means generates individual identification information to be used for identifying a board, from the extracted feature amount.

Abstract: An object management system includes an identifier generation device and an object collation device. The identifier generation device includes a generation unit that forms an ink layer on a target object, an imaging unit that images an uneven pattern on a surface of the ink layer, and a registration unit that registers the imaged result in a storage unit. The object collation device includes an imaging unit that images the uneven pattern on the surface of the ink layer formed on the target object, and a recognizing unit that recognizes the target object based on an image of the uneven pattern obtained by imaging.

Abstract: A delivery management server, connected to a sender terminal and a carrier terminal over a network, includes a registration means for writing destination information of a delivery object received from the sender terminal and a first image in which a random pattern on a surface of the delivery object is captured, into a storage means in association with each other; a matching means for performing matching between a second image in which a random pattern on a surface of the delivery object is captured, received from the carrier terminal, and the first image stored in the storage means; and a presentation means for displaying the destination information associated with the first image stored in the storage means on a terminal screen of the carrier terminal, on the basis of a result of the matching.

Abstract: A registration means for storing an image of a product as a registration image in association with information representing the passing sequence that the product passed through an upstream side process; a management means for managing the matching sequence in a downstream side process; and a matching means for performing matching between an image of a product carried into the downstream side process and the registration image according to the matching sequence, are included. Each time the matching means succeeds in matching, the management means updates the matching sequence to sequence in which registration images not having succeeded in matching with any matching image are put in order on the basis of the passing sequence that the products passed through the upstream side process.

Abstract: An imaging unit, an extraction unit, a feature amount pair generation unit, and an imaging parameter adjustment unit are included. The imaging unit acquires images obtained by imaging each of N (N?3) types of objects a plurality of times by setting a value of a specific imaging parameter, among a plurality of types of imaging parameters, as a certain candidate value and changing a value of the remaining imaging parameter. The extraction unit extracts a feature amount from each of the images. The feature amount pair generation unit generates, as a first feature amount pair for each of the N types of objects, a feature amount pair in which two feature amounts constituting the feature amount pair are extracted from images of objects of the same type, and generates, as a second feature amount pair for every combination of the N types of objects, a feature amount pair in which two feature amounts constituting the feature amount pair are extracted from a images of objects of the different types.

Abstract: An individual identification system includes an acquiring means and a determining means. The acquiring means is configured to acquire a matched image obtained by shooting part of a predetermined region of a matching target object. The determining means is configured to calculate a score representing a degree to which a partial image similar to the matched image exists in a registration image obtained by shooting a predetermined region of a registration target object, and determine based on the score whether or not the matching target object is identical to the registration target object.

Abstract: This image retrieval system comprises: a storage means for storing a plurality of registered images capturing a plurality of objects to be registered; an acquisition means for acquiring a retrieval image including a region of interest; an extraction means for extracting a feature amount from a region, in the retrieval image, other than the region of interest; a retrieval means for retrieving, from the plurality of registered images stored in the storage means, a registered image having a feature amount that matches the feature amount extracted by the extraction means; and an output means for outputting, in a manner that makes it possible to recognize a region corresponding to the region of interest in the retrieval image, all or a portion of the registered image retrieved by the retrieval means.

Abstract: A surface property estimation system includes an image acquisition means for acquiring an image of a surface of an object, an estimation means for estimating a surface property from the acquired image by using an estimation model obtained through machine learning with use of an image of a surface of an object and a surface property shown by the image as training data, an extraction means for extracting, from the acquired image, a feature amount unique to the image, and a registration means for storing the estimated surface property and the extracted feature amount in a storage means in association with each other.