Abstract: An authentication system according to one aspect of the present disclosure includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: track an object included in a video captured by a first capture device; detect a candidate for biometric authentication in the object being tracked; determine whether biometric authentication has been performed for the candidate based on a record of biometric authentication performed for the object being tracked; and perform the biometric authentication for the candidate based on a video of an authentication part of the candidate when the biometric authentication has not been performed for the candidate, the video of the authentication part being captured by a second capture device having a capture range including a part of a capture range of the first capture device.

Abstract: A product-inspection apparatus includes a vibration unit configured to vibrate an object to be inspected at different vibration frequencies in a stepwise manner, the object to be inspected being a product in which a powder is contained in a container, a light source configured to apply light onto an upper surface of the powder, an imaging unit configured to take an image of the upper surface of the powder at a frame rate equal to or higher than a maximum vibration frequency of the vibration unit, and a determination unit configured to determine whether or not the object to be inspected is a quality product based on image information taken by the imaging unit.

Abstract: In a recovery level estimation device, an image acquisition means acquires images in which eyes of a patient are captured. An eye movement feature extraction means extracts an eye movement feature which is a feature of an eye movement based on the images. A recovery level estimation means estimates a recovery level of the patient based on the eye movement feature by using a recovery level estimation model which has been learned by machine learning in advance.

Abstract: The disclosure is inputting a first image obtained by capturing an object of authentication moving in a specific direction; inputting a second image at least for one eye obtained by capturing a right eye or a left eye of the object; determining whether the second image is of the left eye or the right eye of the object, based on information including the first image, and outputting a determination result associated with the second image as left/right information; comparing characteristic information relevant to the left/right information, the characteristic information being acquired from a memory that stores the characteristic information of a right eye and a left eye pertaining to object to be authenticated, with characteristic information associated with the left/right information, and calculating a verification score; and authenticating the object captured in the first image and the second image, based on the verification score, and outputting an authentication result.

Abstract: A first-aid information provision system of the example embodiments includes: an information display device that includes first capture means for capturing an iris image, code acquisition means for acquiring a code associated with the captured iris image, and code display means for displaying the acquired code; and an information output device that includes second capture means for imaging the code displayed by the information display device, first-aid information acquisition means for acquiring first-aid information about an individual associated with the iris image by using the imaged code, and first-aid information output means for outputting the first-aid information.

Abstract: A data acquisition means acquires source domain data and target domain data. An alignment means performs an alignment which converts the source domain data and the target domain data into images of a predetermined reference angle. A feature extraction means extracts local features of the source domain data and the target domain data. A classification means classifies a class based on the local features of the source domain data and the target domain data after the alignment. A learning means trains the feature extraction means based on the local features of the source domain data and the target domain data after the alignment and a classification result of the class.

Abstract: In a recovery level estimation device, an image acquisition means acquires images in which eyes of a patient are captured. An eye movement feature extraction means extracts an eye movement feature which is a feature of an eye movement based on the images. A recovery level estimation means estimates a recovery level of the patient based on the eye movement feature by using a recovery level estimation model which has been learned by machine learning in advance.

Abstract: In a recovery level estimation device, an image acquisition means acquires images in which eyes of a patient are captured. An eye movement feature extraction means extracts an eye movement feature which is a feature of an eye movement based on the images. A recovery level estimation means estimates a recovery level of the patient based on the eye movement feature by using a recovery level estimation model which has been learned by machine learning in advance.

Abstract: Provided are a system, a method, and the like which contribute to more reliably and smoothly providing information relating to an authentication result to a person who has been subjected to authentication. An information provision system according to an embodiment of the present invention comprises: an authentication unit which authenticates an authentication subject, who is to be subjected to authentication, using a captured image of the authentication subject; a determination unit which, in accordance with information about the authentication subject or the conditions of the authentication subject, determines the transmission destination to which information relating to the authentication result is to be transmitted in order to notify the authentication subject of the authentication result; and a transmission unit which transmits the information to the determined transmission destination.

Abstract: In a recovery level estimation device, an image acquisition means acquires images in which eyes of a patient are captured. An eye movement feature extraction means extracts an eye movement feature which is a feature of an eye movement based on the images. A recovery level estimation means estimates a recovery level of the patient based on the eye movement feature by using a recovery level estimation model which has been learned by machine learning in advance.

Abstract: An image acquisition unit (2) acquires an image obtained by capturing at least eyes of a target person. An object specifying unit (4) specifies an object in a line-of-sight direction of the target person using the acquired image. An incident light amount calculation unit (6) calculates an incident light amount representing an amount of light incident on the eyes of the target person using the acquired image. A reference pupil size determination unit (8) determines a reference pupil size based on the calculated incident light amount. A pupil size calculation unit (10) calculates a pupil size of the target person using the acquired image. An interest determination unit (12) determines an interest of the target person in the object by comparing the determined reference pupil size with the calculated pupil size.

Abstract: The disclosed embodiments include computer-implemented devices, systems, and methods that support image processing services. In an embodiment, a server may match a partial image received from a terminal with stored candidate image in the memory, and upon identification of a match, transmit information identifying the matched candidate image to the terminal.

Abstract: A first-aid information provision system of the example embodiments includes: an information display device that includes first capture means for capturing an iris image, code acquisition means for acquiring a code associated with the captured iris image, and code display means for displaying the acquired code; and an information output device that includes second capture means for imaging the code displayed by the information display device, first-aid information acquisition means for acquiring first-aid information about an individual associated with the iris image by using the imaged code, and first-aid information output means for outputting the first-aid information.

Abstract: A first-aid information provision system of the example embodiments includes: an information display device that includes first capture means for capturing an iris image, code acquisition means for acquiring a code associated with the captured iris image, and code display means for displaying the acquired code; and an information output device that includes second capture means for imaging the code displayed by the information display device, first-aid information acquisition means for acquiring first-aid information about an individual associated with the iris image by using the imaged code, and first-aid information output means for outputting the first-aid information.

Abstract: The disclosure is detecting an authentication target who is moving in a predetermined direction in a video; inputting a first image in which an entire body of the target; calculating characteristic information from an image of the entire body in the first image, comparing the calculated characteristic information with characteristic information of the entire body stored in first memory that stores characteristic information of entire bodies of targets, and extracting candidate information of the targets from the first memory based on a first authentication result; inputting a second image in which an iris of the target; and comparing characteristic information of irises stored in second memory that stores the characteristic information of the irises of targets with characteristic information of an iris from the second image, calculating a verification score, executing second authentication on the target in the second image based on the verification score, and outputting an authentication result.

Abstract: An information processing system includes a first acquisition unit, a second acquisition unit, a movement control unit, and a state evaluation unit. The first acquisition unit acquires, from a first imaging unit, image data relating to a first image of a head of a subject that is captured at a first angle of view. The second acquisition unit acquires, from a second imaging unit, image data relating to a second image of an eye region of the subject that is captured at a second angle of view narrower than the first angle of view. The movement control unit moves a visual field range of the second imaging unit. The state evaluation unit evaluates a change in state of the eye of the subject.

Abstract: An information providing device according to one aspect of the present disclosure includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of 5 instructions to: receive a face image; determine whether a person in the face image is unsuitable for iris data acquisition based on the face image; and output information based on determining that the person is unsuitable for the iris data acquisition when the person is determined to be unsuitable for the iris data acquisition.

Abstract: An image processing device according to one aspect of the present disclosure includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: receive a visible image of a face; receive a near-infrared image of the face; adjust brightness of the visible image based on a frequency distribution of pixel values of the visible image and a frequency distribution of pixel values of the near-infrared image; specify a relative position at which the visible image is related to the near-infrared image; invert adjusted brightness of the visible image; detect a region of a pupil from a synthetic image obtained by adding up the visible image the brightness of which is inverted and the near-infrared image based on the relative position; and output information on the detected pupil.

Abstract: The disclosure is detecting an authentication target who is moving in a predetermined direction in a video; inputting a first image in which an entire body of the target; calculating characteristic information from an image of the entire body in the first image, comparing the calculated characteristic information with characteristic information of the entire body stored in first memory that stores characteristic information of entire bodies of targets, and extracting candidate information of the targets from the first memory based on a first authentication result; inputting a second image in which an iris of the target; and comparing characteristic information of irises stored in second memory that stores the characteristic information of the irises of targets with characteristic information of an iris from the second image, calculating a verification score, executing second authentication on the target in the second image based on the verification score, and outputting an authentication result.

Abstract: The disclosure is detecting an authentication target who is moving in a predetermined direction in a video; inputting a first image in which an entire body of the target; calculating characteristic information from an image of the entire body in the first image, comparing the calculated characteristic information with characteristic information of the entire body stored in first memory that stores characteristic information of entire bodies of targets, and extracting candidate information of the targets from the first memory based on a first authentication result; inputting a second image in which an iris of the target; and comparing characteristic information of irises stored in second memory that stores the characteristic information of the irises of targets with characteristic information of an iris from the second image, calculating a verification score, executing second authentication on the target in the second image based on the verification score, and outputting an authentication result.