An auxiliary filtering device for face recognition is provided. The auxiliary filtering device is used to exclude an ineligible object to be identified according to the relative relationship between object distances and image sizes, the image variation with time and/or the feature difference between images captured by different cameras to prevent the possibility of cracking the face recognition by using a photo or a video.

An electronic device including antennas is provided. The electronic device includes a cover window including a view area and a non-view area formed along edges of the view area and including a view portion formed in at least one area, a frame including a first structure and a second structure which at least one electronic component is disposed, one surface of the first structure, forming the rear surface of the electronic device, including a nonconductive area including a window area and a conductive area surrounding the nonconductive area, a display, a PCB disposed in the second structure, wireless communication circuitry disposed on the printed circuit board, a first camera disposed in an area corresponding to the view portion of the second structure, a second camera disposed in an area of the second structure corresponding to the window area, a first antenna module configured to generate a first RF signal toward the cover window, and a second antenna module configured to generate a second RF signal toward the rear surface of the electronic device.

The disclosed computer-implemented method for restricting capture of self-portrait images on mobile devices may include (i) capturing sensor data associated with a surrounding environment, (ii) detecting a user input for taking one or more self-portrait images, determining, based on the sensor data, one or more potential hazards associated with the taking of the self-portrait images within the surrounding environment, and (iv) performing a security action to protect against the potential hazards associated with the taking of the self-portrait images within the surrounding environment. Various other methods, systems, and computer-readable media are also disclosed.

The present specification discloses an apparatus and method for controlling the brightness of light to calculate more accurate figures as compared to when the level of a component in blood is measured through a change in color of a reaction reagent. A light control apparatus for a colorimetric method according to the present specification can control light to have a second brightness different from a first brightness while a camera captures an image of the reaction of a reagent and a sample. Thus, a wider range of measurement than conventional measurement ranges is possible.

A portable slit lamp device which can be coupled to an image capture device such as a smartphone.

An electronic device in various embodiments may include: a front cover forming a front surface of the electronic device; a rear cover forming a rear surface opposite to the front surface; a display placed between the front cover and the rear cover and visually exposed through the front cover; a first camera disposed on the front surface; and a processor operatively connected to the first camera and the display. The display may be divided into a display region and a sensor region when facing the front surface. The display may include: a light-emitting/light-receiving layer including light-emitting diodes disposed in the display region and at least one photodiode disposed in the sensor region; and a filter layer placed between the front cover and the light-emitting/light-receiving layer and including light-emitting filters aligned with the light-emitting diodes in the display region, and at least one light-receiving filter aligned with the at least one photodiode in the sensor region. The processor may be configured to receive, from the at least one photodiode, light information related to light passed through the at least one light-receiving filter to be received by the at least one photodiode, and perform, by the light information, a function related to an image acquired from the first camera to be displayed on the display.

An electronic device and a control method therefor are disclosed. A control method for an electronic device according to the present disclosure comprises the steps of: when a preset event is detected, acquiring a user image by photographing a user; acquiring a facial image including the user's face from the photographed user image and storing the facial image; and when a user input for identification of the facial image is received, providing the stored facial on the basis of at least one of a time and a place.

An electronic device is provided. The electronic device includes a display, a camera, and a processor. The processor displays a first image obtained through the camera, displays, in response to the first image being enlarged in one magnification in a designated first magnification range, the enlarged first image as a second image, displays, in a designated area of the display, a guide map including a first guide box indicating a location of the second image and having a size which varies in response to a magnification change in the first magnification range, and when the first image or the second image is enlarged to a third image in response to the first or second image being enlarged by one magnification in a designated second magnification range greater than the first magnification range, changes the first guide box to a second guide box having a fixed size.

A circuit board is mounted on a camera module with a shake correction function. The circuit board includes a first reference portion extending from a first side in a first direction to a second side in the first direction, a first coupled portion extending from the second side in the first direction to the first side in the first direction, a first direction first bent portion connected to each of an end portion on the second side in the first direction of the first reference portion and an end portion on the second side in the first direction of the first coupled portion, and a second direction extending first portion extending in a second direction orthogonal to the first direction from the first coupled portion.

A computer-implemented method of detecting and quantifying a spinal curve is disclosed herein. The method comprises obtaining an infrared radiometer camera, positioning the infrared radiometer camera for receiving thermal data for a spine of a subject, the camera being horizontally spaced about ½ meters to about 3 meters from the spine, scanning at least a portion of the spine with the infrared radiometer camera to obtain the thermal data, analyzing the thermal data using machine learning software which uses a classification algorithm to determine the presence of the spinal curve, and calculating a first Cobb angle for the curve of the subject's spine. Corresponding systems and additional methods also are disclosed.