Abstract:
A light detection and ranging (LiDAR) device and a method of measuring a distance are provided. The LiDAR device includes: a light transmitter configured to transmit light to an object; a light receiver that includes a plurality of sub-light receiving regions that are included in one light receiving region corresponding to one pixel, each of the plurality of sub-light receiving regions including a light detection element configured to receive the light reflected from the object; and a processor configured to determine a time of flight (ToF) of the light that is transmitted to and then reflected from the object by varying a time window according to a measurement condition.
Abstract:
A light detection and ranging (LiDAR) device may sequentially select each of a plurality of memory cells based on a coarse clock synchronized with a start signal generated when light is transmitted, may supply power to a plurality of memory cells based on a stop signal generated when light is received, and may calculate a time of flight (ToF) of light based on information of the power accumulated in the plurality of memory cells.
Abstract:
An image sensing apparatus sensing a user input and an operating method of the image sensing apparatus are disclosed, in which the image sensing apparatus may include an optical source operating based on a burst mode including a turn-on cycle and a turn-off cycle, and an image sensor configured to receive a reflected light using a pixel array and output sensing data of a position of an object in a target area in the reflected light.
Abstract:
Disclosed is an electronic device including: at least one sensor including a proximity sensor, a touch sensor, and a processor operatively connected with the at least one sensor and the touch sensor. The processor is configured to: detect a distance between an external object and the electronic device using the proximity sensor, disable the touch sensor or ignore a signal from the touch sensor based on the distance between the external object and the electronic device being less than a certain distance, determine whether the electronic device meets a specified condition based on a sensing value obtained from the at least one sensor, and enable the touch sensor or recognize the signal from the touch sensor based on the electronic device meeting the specified condition.
Abstract:
An authentication method includes projecting a near infrared (NIR) ray using a light emitting diode (LED) of a terminal, receiving a light reflected by a vein of a user using an image sensor of the terminal, verifying whether an image generated using the received light exhibits a vein pattern, in response to the image generated using the received light being verified as exhibiting the vein pattern, generating a vein pattern of the vein based on an image generated using the received light, and in response to the generated vein pattern being determined to match a pre-stored vein pattern, authenticating the user as a registered user corresponding to the pre-stored vein pattern.
Abstract:
According to certain embodiments, a wearable electronic device comprises: an accelerometer which outputs acceleration data for a movement of the wearable electronic device in real time; an output device which outputs audio or video data; and a processor electrically coupled to the accelerometer and the output device, wherein the processor is configured to: output a first guide using the output device, the first guide commanding a user to keep their head still; output a second guide using the output device, the second guide commanding the user to rotate their head about a predetermined one of a roll, pitch, and yaw axis; and output information on a posture of the user wearing the wearable electronic device, determined based on another acceleration data being output from the accelerometer, after outputting the second guide.
Abstract:
A depth sensor and a 3D camera include a macro pixel that provides an output signal when light is received and a programmable concurrent detector (PCD) circuit that compares an electric signal provided by the macro pixel with a number of concurrence (NC) and determines a necessity of providing the output signal of the macro pixel. In addition, the depth sensor and the 3D camera may include a controller that measures a dark count of the macro pixel, changes the number of concurrence (NC) of the macro pixel, based on the dark count, and controls noise of the macro pixel. In addition, the depth sensor and the 3D camera may control the noise of the macro pixel, based on an external light count which is a noise signal generated due to the external light.
Abstract:
An image sensor for simultaneously obtaining an image and a proximity is provided. The image sensor includes a proximity signal generating circuit configured to generate a proximity signal of a target based on a pixel signal of a pixel array. The proximity signal generating circuit generates the proximity signal based on an average of pixel signals output from a plurality of pixels included in the pixel array.
Abstract:
According to one example embodiment, an image sensor is configured to operate in a plurality of operation modes. The image sensor includes a pixel array including unit pixels configured to generate an analog image signal from incident light, a readout circuit configured to generate a digital image signal by converting the analog image signal, and a control module configured to generate control signals for controlling operations of the pixel array and the readout circuit according to an operation mode of the image sensor. A first power voltage for driving the image sensor when the operation mode of the image sensor is an image recognition mode for recognizing a body of a user of the image sensor, is lower than a second power voltage for driving the image sensor when the operation mode of the image sensor is an image capture mode for capturing images by the user.
Abstract:
An electronic device for a session management function (SMF) may comprise memory storing instructions and at least one processor. The instructions may cause the electronic device to: obtain a first load value for a second time interval before selecting a serving user plane function (UPF), estimated based on an artificial intelligence model (AI model) using first load information of each of UPFs measured within a first time interval before the second time interval, obtain a second load value for the second time interval, calculated by using second load information of each of the UPFs measured within the second time interval, determine a difference between the first load value and the second load value, and determine, using the difference, whether to use a predicted load value of each of the UPFs obtained based on the AI model to select the serving UPF from among the UPFs.