A rearview assembly includes an electrochromic element. The electrochromic element includes a first substrate including a first surface and a second surface. The electrochromic element further includes a second substrate comprising a third surface and a fourth surface. The first substrate and the second substrate form a cavity. The electrochromic element includes an electrochromic medium contained in the cavity. The rearview assembly includes an image sensor directed toward the fourth surface and configured to capture near-infrared light reflected from an object and projected through the electrochromic element. The rearview assembly includes a transflective film disposed adjacent to the fourth surface having a near-infrared light transmission level and a visible light reflectance level.

In some embodiments, techniques for using machine learning to enable visible light pupilometry are provided. In some embodiments, a smartphone may be used to create a visible light video recording of a pupillary light reflex (PLR). A machine learning model may be used to detect a size of a pupil in the video recording over time, and the size over time may be presented to a clinician. In some embodiments, a system that includes a smartphone and a box that holds the smartphone in a predetermined relationship to a subject's face is provided. In some embodiments, a sequential convolutional neural network architecture is used. In some embodiments, a fully convolutional neural network architecture is used.

Unlike state of art eye blink detection techniques that are generalized for usage across individuals affecting accuracy of eye blink prediction from subject to subject, embodiments of the present disclosure provide a method and system for personalized eye blink detection using passive camera-based approach. The method first generates a subject specific annotation data, which is then further processed to derive subject specific personalized blink threshold values. The method disclosed provides three unique approaches to compute the personalized blink threshold values which is one time calibration process. The personalized blink threshold values are then used to generate a binary decision vector (D) while analyzing input test images (video sequences) of the subject of interest. Further, values taken by elements of the decision vector (D) are analyzed for a predefined time period to predict possible eye blinks of the subject.

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.

A system, method, and media for providing web-based security to a workflow process is presented. Data may be processed in a web-based workflow management system. The system may detect the transfer of high-level security data through the workflow. Upon detection of the data transfers the system may request review and approval in the form of a biometric input from an approved user to allow the data to be transferred.

A head-mounted wearable device includes a frame mountable on a head of a user; an infrared imaging device arranged to image a face of the user when the frame is mounted on the head of the user; and a computing system configured to perform operations including causing the infrared imaging device to capture an image of the face of the user using infrared light received at the infrared camera and initiating a biometric authentication process based on the image. The head-mounted wearable device may include a visible-light imaging device to image the face of the user with the computing system configured to perform operations including causing the visible-light imaging device to capture a second image of the face of the user using visible light received at the visible-light imaging device, with the biometric authentication process being based in part on the second image.

Introduced here are approaches to authenticating the identity of speakers based on the “liveness” of the input. To prevent spoofing, an authentication platform may establish the likelihood that a voice sample represents a recording of word(s) uttered by a speaker whose identity is to be authenticated and then, based on the likelihood, determine whether to authenticate the speaker.

The disclosure provides a system that may receive an identification of a first patient; may retrieve, based at least on the identification of the first patient, first eye identification information that includes a first plurality of iris structures associated with a first eye of the first patient; may determine a second plurality of iris structures of an eye of a current patient; may determine if the second plurality of iris structures match the first plurality of iris structures; if the second plurality of iris structures match the first plurality of iris structures, may provide an indication that the first eye has been correctly identified; and if the second plurality of iris structures do match the first plurality of iris structures, may provide an indication that the first eye has not been correctly identified.

There is provided an information acquisition apparatus including an output means for outputting guidance information for guiding a subject to move a head while gazing at a predetermined position, and an image acquisition means for acquiring an image including an iris of the subject after outputting the guidance information.

Disclosed is a server for performing authentication or identification using biometric information including basic information and detailed information includes a storage for storing basic information and detailed information that are separately encrypted for each of a plurality of users, a communicator for communicating with an external device, and a processor configured to, based on separately encrypted basic information and detailed information being received from an external terminal device through the communicator, performing user authentication or user identification for the received basic information and detailed information by decrypting and comparing the stored encrypted basic information and the received encrypted basic information, and comparing the received detailed information with at least one piece of stored detailed information corresponding to a piece of basic information having a degree of similarity that is higher than or equal to a predetermined value and with the received basic information among the stored basic information.