Abstract:
An electronic device and a controlling method of the electronic device are provided. The controlling method of an electronic device according to the disclosure includes the steps of, based on a first user input for or related to acquiring a live view image through a camera including a plurality of lenses different from one another being received, acquiring a plurality of image frames for each of the plurality of lenses and storing the image frames in a first memory, inputting the plurality of image frames for each lens stored in the first memory into a neural network model, by a predetermined time interval, and acquiring score information including composition preference information of each of the input image frames, selecting at least one lens among the plurality of lenses based on the score information, storing image frames acquired through the selected at least one lens in a second memory during the predetermined time interval, and based on a second user input for initiating recording of the live view image being received, storing an image related to the image frames stored in the second memory in a third memory until a time point when a third user input for ending the recording is received.
Abstract:
An optical filter includes a near-infrared absorbing layer including a first material, the first material being configured to absorb light in a first wavelength spectrum belonging to a near-infrared wavelength spectrum. The optical filter includes a compensation layer adjacent to the near-infrared absorbing layer, the compensation layer including a second material different from the first material. The optical filter includes a metamaterial structure spaced apart from the near-infrared absorbing layer via the compensation layer, the metamaterial structure being configured to absorb or reflect light in a second wavelength spectrum at least partially overlapped with the first wavelength spectrum.
Abstract:
An electrode structure includes: a first nonconductive layer; a first conductive layer disposed on the first nonconductive layer; a second nonconductive layer disposed on the first conductive layer; a second conductive layer disposed on the second nonconductive layer; and a third nonconductive layer disposed on the second conductive layer, where at least one of the first conductive layer and the second conductive layer includes a two-dimensional conductive material.
Abstract:
A method of training an object recognition model by using spatial information is provided. The method includes obtaining spatial information including illumination information corresponding to a plurality of spots in a space, obtaining illumination information corresponding to at least one spot of the plurality of spots from the spatial information, obtaining training data by using the obtained illumination information and an image obtained by capturing the at least one spot, and training a neural network model for object recognition by using the training data.
Abstract:
Provided is a method of identifying a touch type of a user touch input with respect to an electronic device, the method including: obtaining touch data from a touch input received from a user; determining a touch recognition model set consisting of touch recognition models to be used to identify a touch type of the touch input of the user from among a plurality of touch recognition models corresponding to a plurality of partial time periods included in a time in which the touch input is maintained; obtaining touch type probability values with respect to the touch input of the user by applying the touch data to the touch recognition models included in the touch recognition model set; and identifying a touch type of the touch input, based on the obtained touch type probability values.
Abstract:
A transparent electrode includes: a substrate; an electrically conductive layer disposed on the substrate and including a plurality of nano-sized conductors; and an organic/inorganic composite layer directly disposed on the electrically conductive layer and including a cross-linked polymer and nano-sized inorganic oxide particles, wherein the nano-sized inorganic oxide particles are included in an amount of greater than or equal to about 1 part by weight and less than about 35 parts by weight, relative to 100 parts by weight of the cross-linked polymer. Also an electronic device including the same.
Abstract:
A transparent electrode including: a substrate; an undercoat disposed on the substrate; a conductive film disposed on the undercoat and including a plurality of conductive metal nanowires and a carboxyl group-containing cellulose; and an overcoat disposed on the conductive film. Also an electronic device including the transparent electrode.
Abstract:
An electrode structure includes: a first nonconductive layer; a first conductive layer disposed on the first nonconductive layer; a second nonconductive layer disposed on the first conductive layer; a second conductive layer disposed on the second nonconductive layer; and a third nonconductive layer disposed on the second conductive layer, where at least one of the first conductive layer and the second conductive layer includes a two-dimensional conductive material.
Abstract:
A method of generating a spatial map includes obtaining a captured image of a target area in a space, obtaining light detection and ranging (LiDAR) scan data by scanning a depth of the target area with respect to a first height, performing object detection on the captured image, and, according to the performed object detection, generating a spatial map of the target area, based on all of the LiDAR scan data and the captured image.
Abstract:
An electronic device includes a touch screen and a processor configured to: based on a touch input of a user being acquired through the touch screen, acquire an image corresponding to the acquired touch input of the user; identify a type of the acquired touch input of the user by inputting, to a neural network model for identifying the type of the touch input of the user, the acquired image, a first image corresponding to a first type touch input obtained by touching the touch screen with a pressure smaller than a preconfigured pressure, and a second image corresponding to a second type touch input obtained by touching the touch screen with a pressure greater than the preconfigured pressure; and perform a function based on the identified type of the touch input.