Lg Electronics Inc.

Aram Kim

Jiwon Lee

Hongkyu Park

Dongkyu Lee

Hyongguk Kim

Jingyeong Kim

Yeonkyung Kim

Hyeongjin Im

Kichu Hong

Miyoung Seo

Moonjung Kim

Soonhong Jung

Jaehyun An

Jinkyoo Lee

Provided a robot for assisting hearing of a user, while minimizing an influence on the surroundings. The robot includes a speaker, a microphone configured to recognize a voice, a processor configured to acquire a position of a user's face when a hearing aid command is acquired on the basis of the voice recognized through the microphone, and a driving unit configured to cause the speaker to be moved toward the position of the user's face, wherein the processor acquires a sound which is a target of hearing aid, generates an assistant sound by amplifying a predetermined frequency band of the sound or converting the predetermined frequency band of the sound into a different frequency band, and outputs the assistant sound through the speaker.

Robot for assisting a user in hearing

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.

Method and device for image processing

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.

Apparatus and method for recognizing a face based on artificial intelligence

A method for assisted parking of a vehicle performed by a parking control device. The method includes: determining a current position of a vehicle based on at least one of GPS information or environment information of the vehicle; generating traveling map information during manual driving of the vehicle, the traveling map information including a traveling path of the vehicle from the current position of the vehicle, based on at least one user input received through a vehicle manipulation device and at least one sensor value acquired through at least one sensor; and transmitting, based on receiving a rollback request signal, a rollback control signal that causes the vehicle to autonomously drive in a reverse direction along at least part of the traveling path from a rollback starting position of the vehicle.

Vehicle control device mounted on vehicle and method for controlling the vehicle

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Seoul, South Korea

Aram Kim