公开(公告)号：US20210195117A1

公开(公告)日：2021-06-24

申请号：US16869051

申请日：2020-05-07

Applicant: LG ELECTRONICS INC.

Inventor： Jaehyun AN ,  Jiwon LEE

IPC: H04N5/243 ,  H04N5/235 ,  H04N5/225 ,  H04N5/33 ,  G06T5/00 ,  G06T5/50 ,  G06T3/40 ,  G06F17/18

Abstract: Provided is a method for obtaining an image includes: obtaining first image data by photographing a first color by means of the image sensor while an IR illumination is turned on; obtaining second image data by photographing the first color by means of the image sensor while an IR illumination is turned off; extracting, from the first image data, first row data obtained from a first pixel of the image sensor; extracting, from the first image data, IR row data corresponding to an IR component of the first pixel; and generating correction data of the first pixel based on a difference between the first row data and the IR row data. According to an embodiment, the artificial intelligence (AI) module may be related to unmanned aerial vehicles (UAVs), robots, augmented reality (AR) devices, virtual reality (VR) devices, and 5G service-related devices.

公开(公告)号：US20220094886A1

公开(公告)日：2022-03-24

申请号：US17424400

申请日：2020-01-21

Applicant: LG ELECTRONICS INC.

Inventor： Jiwon LEE ,  Dongkyu LEE ,  Aram KIM ,  Heungsoon YOON ,  Jaehyun AN ,  Jinkyoo LEE

IPC: H04N9/04

Abstract: The present disclosure relates to a camera device, and an electronic apparatus including the same. The camera device and an electronic apparatus including the same according to an embodiment of the present disclosure includes a lens device, an image sensor configured to convert light passing through the lens device into an electrical signal to generate an RGBN pattern image, and a processor configured to output a multi-spectrum-based IR image and an RGB-based color image based on the RGBN pattern image from the image sensor. Accordingly, it is possible to obtain the color image and the IR image robust to illuminance.

公开(公告)号：US20210384801A1

公开(公告)日：2021-12-09

申请号：US17411358

申请日：2021-08-25

Applicant: LG Electronics Inc.

Inventor： Jinsu OH ,  Jiwon LEE

IPC: H02K9/193 ,  H02K1/27 ,  H02K5/20 ,  H02K5/18

Abstract: An electric motor includes a rotor including a rotary shaft defining a first fluid channel configured to carry a cooling fluid, a rotor core including a plurality of permanent magnets and defining a second fluid channel in communication with the first fluid channel, and end rings mounted on opposite end portions of the rotor core. Each end ring includes injection holes in fluid communication with the second fluid channel and configured to inject the cooling fluid. Each end ring includes a plurality of rotary pins that are circumferentially arranged on an outer surface of the end ring, that are spaced apart from one another, and that are configured to circulate the cooling fluid injected through the plurality of injection holes into the first fluid channel.

公开(公告)号：US20210150660A1

公开(公告)日：2021-05-20

申请号：US16828636

申请日：2020-03-24

Applicant: LG ELECTRONICS INC.

Inventor： Jaehyun AN ,  Jiwon LEE ,  Dongkyu LEE ,  Aram KIM ,  Jingyeong KIM

IPC: G06T1/20 ,  G06T7/00 ,  G06N3/08 ,  G06N20/00 ,  G06F17/18

Abstract: Disclosed is a method and device for image processing. The image processing device may include a processor and a controller. The processor may include an artificial intelligence (AI) image processing model trained in image processing through learning, and an arithmetic logic unit (ALU) configured to perform a computation involved in image processing using the AI image processing model. According to the present disclosure, image processing using a deep neural network (DNN) is possible in an edge device.

公开(公告)号：US20210103778A1

公开(公告)日：2021-04-08

申请号：US16831701

申请日：2020-03-26

Applicant: LG ELECTRONICS INC.

Inventor： Jiwon LEE ,  Aram KIM ,  Jinkyoo LEE

IPC: G06K9/62 ,  G06K9/00 ,  G06N3/04 ,  G06N3/08

Abstract: The present disclosure relates to face recognition apparatus and method capable of increasing a rate of face recognition using artificial intelligence by changing a captured image or video in contrast value in a dynamic manner. An operational method of a face recognition electronic apparatus using an artificial neural network may include: receiving from an ISP an image processed based on a set contrast parameter; detecting a facial image from the image; determining match probability values between the detected facial image with a plurality of facial images; determining whether or not a subject matching with the detected facial image is present on the basis of the match probability values; and if not, changing the contrast parameter. Accordingly, the face recognition performance can be improved by correcting an image in contrast that provides the best face recognition capability for each image when identifying a subject of a facial image by using artificial intelligence.