The present invention is directed to systems and process for detecting a febrile condition in screening of multiple or large groups of persons for the likelihood of infectious diseases. The system comprises a temperature measurement device having at least a processor, a display, temperature sensor, camera module, and facial recognition software. The display may include a positional overlay. The system further includes a database containing baseline temperatures for a number of persons, including baseline temperatures by age group and by gender. An input device optionally may identify the specific person or provide survey questions to a person to further determine a febrile condition. Based on the baseline temperatures, measured temperature and other characteristics of the person, a febrile condition may be determined. Additionally, the system may include a secondary screening component providing nasal swabbing or saliva testing.

The present invention relates to a device and a control method therefor and, more specifically, the device comprises: a memory for storing at least one command; a depth camera for capturing at least one hand of a user; a display module; and a controller for controlling the memory, the depth camera, and the display module. The controller controls the depth camera so as to capture the at least one hand of a user and controls the display module so as to output a visual feedback that changes on the basis of the captured hand of a user.

A method and an associated device for detecting fraud during automatic face recognition, the method comprising the following steps: acquiring a first image of the face by means of a first sensor having a first field angle, and a second image of the face by means of a second sensor having a second field angle that is narrower than the first field angle; analyzing the first image to verify that there is no frame around the face; and analyzing the second image to verify that there is no moiré effect.

An electronic device for performing iris authentication, according to various examples of the present invention, can comprise: an image sensor for outputting an image obtained by photographing an eye part; a display for displaying an iris authentication screen image; and a control unit detecting at least a partial region from the captured eye part image so as to perform iris authentication by adjusting display characteristics of the display on the basis of a result obtained by comparing the size of the detected region with the size of a region required for the iris authentication, and various examples are possible.

An electronic device and a method of operating the electronic device are provided. The electronic device includes a proximity detector; an iris recognition module; a memory; and a processor electrically connected to the proximity detector, the iris recognition module, and the memory, wherein the processor is configured to execute an iris recognition operation based on the iris recognition module; determine proximity of an object based on the proximity detector while the iris recognition operation is performed; and, if the proximity of the object includes within a set reference range, stop the iris recognition operation.

A fingerprint sensing system. The fingerprint sensing system includes: at least one sensor; at least one display device; at least one application processor; and at least one secure enclave processor. The application processor(s) receives fingerprint data from the sensor(s) and provides the fingerprint data to the secure enclave processor(s). The secure enclave processor(s) decodes the fingerprint data and provides a signal indicative of at least one matched node. The application processor(s), responsive to receipt of the signal indicative of the matched node(s), presents at least a portion of a synthetic fingerprint image via at least one display device corresponding to the matched node(s).

A control apparatus (2000) acquires a certificate image (30) being an image of an identification card. The control apparatus (2000) outputs screen data (70) of a screen (60) including the certificate image (30). The control apparatus (2000) acquires a user image (50) generated by capturing an image performed in a state where the screen (60) is displayed.

A system for remote identity verification including a computing device configured to capture a first image of the user a first distance and capture a second image at a second distance and then processing the images to create one or more facemaps. The facemaps are processed to verify that the images were captured from a live person. If the facemaps represents a live person, the facemaps and a user identifying code are sent to a trusted image server. The rusted image server configured to, using the user ID code, retrieve a trusted image from a database and generate a trusted image facemaps. Then, compare captured image facemaps to the trusted image facemaps. Responsive to a match between the captured image facemaps and the trusted image facemaps, send a message to the computing device, a third-party server, or both providing notice of the match.

Methods and systems are provided for providing directional assistance to guide a user to position a camera for centering a person's face within the camera's field of view. A neural network system is trained to determine the position of the user's face relative to the center of the field of view as captured by an input image. The neural network system is trained using training input images that are generated by cropping different regions of initial training images. Each initial image is used to create a plurality of different training input images, and directional assistance labels used to train the network may be assigned to each training input image based on how the image is cropped. Once trained, the neural network system determines a position of the user's face, and automatically provides a non-visual prompt indicating how to center the face within the field of view.

Techniques are described herein for dialog-based enrollment of individual users for single- and/or multi-modal recognition by an automated assistant, as well as determining how to respond to a particular user's request based on the particular user being enrolled and/or recognized. Rather than requiring operation of a graphical user interface for individual enrollment, dialog-based enrollment enables users to enroll themselves (or others) by way of a human-to-computer dialog with the automated assistant.