Lg Electronics Inc.

Beomoh Kim

Jichan Maeng

Taehyun Kim

Jonghoon Chae

Wonho Shin

Sungjin Kim

Kokeun Kim

Sooyoung Sim

Jihye Kim

Moonsub Jin

Jinsung Park

Younghyeog Jeon

Jeong Eun Heo

Jiyoung Huh

Gyuseog Hong

Seungjin Jang

Heejin Park

Jeongmee Koh

Youngdon Hwang

Juan Parc

An artificial intelligence server includes: a communication interface configured to communicate with a terminal, and a processor. The processor is configured to receive, from the terminal through the communication interface, a video of a home appliance, acquire a first feature vector by inputting image data extracted from the video to an image classification model, acquire a second feature vector by inputting sound data extracted from the video to a voice classification model, acquire a result value by inputting a data set obtained by combining the first feature vector and the second feature vector to an abnormality classification model, and transmit, to the terminal through the communication interface, a failure type acquired based on the result value.

Artificial intelligence server

An artificial intelligence robot includes a camera configured to acquire image data, a memory configured to store an object recognition model used to recognize an object from the image data, and a processor configured to acquire a speech command, determine whether an intention of the acquired speech command is object search, recognize an object from the image data based on the object recognition model during traveling when the intention of object search, and output a notification indicating that the object has been recognized when the recognized object is an intended object.

Artificial intelligence robot and method of operating the same

Provided is a method for controlling a moving agent group platooning within a building, the method comprising: a sensing step in which a first moving agent among a plurality of moving agents senses an occurrence of a predetermined event during the plurality of moving agents are platooning, wherein the first moving agent leads the platooning of the plurality of moving agents; and a transferring step in which the first moving agent transfers a group control authority to a second moving agent among the plurality of moving agents, wherein the second moving agent just follows the first moving agent; wherein the second moving agent having the group control authority leads movement of remaining moving agents following the second moving agent.

Control system of moving agent group and control method thereof

A system and a method for predicting a battery consumption of an electric vehicle are disclosed. The battery consumption prediction system of the electric vehicle predicts the battery consumption considering an overall state of the electric vehicle and an external environment of the electric vehicle. The battery consumption prediction system of the electric vehicle may be associated with an artificial intelligence module, a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services, and the like.

Device, system and method for predicting battery consumption of electric vehicle

Disclosed herein is an intelligent robot cleaner. The intelligent robot cleaner primarily senses foreign matter sucked through a suction unit under the control of a control unit, and secondarily senses an article collected in a collection unit, if articles other than the foreign matter are sensed, thus allowing a use to recognize accurate information about the article collected in the collection unit and preventing valuables or small articles from being lost. The intelligent robot device may be associated with an artificial intelligence module, a unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services, and the like.

Intelligent robot cleaner

An intelligent robot cleaner setting a travel path based on a video learning includes a travel driver, a suction unit, an image acquisition unit, and a controller. The travel driver moves to an area to be cleaned along the travel path. The suction unit sucks foreign substances on the travel path. The image acquisition unit acquires an image on the travel path. The controller analyzes the image, decides whether an object is present on the travel path, classifies a type of the object, and sets a bypass travel path that avoids the object if the object is an avoidance object.

Intelligent robot cleaner for setting travel route based on video learning and managing method thereof

An artificial intelligence apparatus for calibrating an output position of a display panel according to an embodiment includes a camera configured to capture an image displayed by the display panel; and a processor configured to: transmit a signal for outputting a position reference image to the display panel, receive, via the camera, a captured image for the display panel, calculate an output position offset for the display panel in a predetermined unit based on the position reference image and the captured image, determine an output position calibration value for the display panel using the calculated output position offset, and transmit the determined output position calibration value to the display panel.

Artificial intelligence apparatus for calibrating output position of display panel of user and method for the same

Disclosed is a massage apparatus. The massage apparatus includes a vibration array including a plurality of vibration devices, a driver configured to vibrate the plurality of vibration devices, and a processor configured to control the driver to generate a stimulus at a stimulus point between the plurality of vibration devices by simultaneously vibrating two or more vibration devices among the plurality of vibration devices.

Massage apparatus

An electronic device according to an embodiment includes a first biometric sensor to detect first biometric information, a second biometric sensor to detect second biometric information, a security module to normalize a first decision score for the first biometric information and a second decision score for the second biometric information, generate a decision function model for combined matching of the normalized first and second decision scores, set a threshold score corresponding to a sensitivity level in the decision function model, and perform user authentication for the first and second biometric information based on the decision function model to which the threshold score is applied, and a controller configured to control an operation of the electronic device based on a result of the user authentication performed by the security module. According to the present invention, the electronic device may perform user authentication by an Internet of Things (IoT).

Electric device and control method thereof

Disclosed is a control system to control a robot. The control system to control the robot according to an aspect of the present disclosure includes a transceiver and a processor. The transceiver receives information of a user within each unit zone, wherein a plurality of robots is disposed in a zone. The processor is configured to determine a density for each respective unit zone from among the plurality of zones, determine an average density for each respective group zone from among the plurality of group zones based on the determined density, determine a priority for each group zone based on the respective determined average density, and control movements of one or more robots based on the determined priority, wherein the controlling of the movements is performed by extracting a feature from the user based on machine learning and setting the priority based on the extracted feature of the user.

Control system to control intelligent robot device

A robot for detecting a dangerous situation using artificial intelligence includes a memory configured to store a voice recognition model for inferring whether a current situation is the dangerous situation from voice data and an image recognition model for inferring whether the current situation is the dangerous situation from image data, and a processor configured to acquire one or more of the voice data or the image data and output a notification indicating the dangerous situation when the dangerous situation is detected from the voice data using the voice recognition model or when the dangerous situation is detected from the image data using the image recognition model.

Robot capable of detecting dangerous situation using artificial intelligence and method of operating the same

The present disclosure relates to an electronic device that is capable of multimodal biometric authentication and a method of controlling the electronic device.

Electronic device and method for controlling the same

Disclosed is a method of controlling an intelligent electronic device including initiating implicit continuous authentication, obtaining sensor data from at least one sensor, classifying a security level of the intelligent electronic device into at least two states having different security on the basis of the sensor data, and determining an authentication period of the implicit continuous authentication according to the classified security level, wherein the at least one sensor is continuously activated on the basis of the determined authentication period.

Method for controlling intelligent electronic device and computer-readable medium including program code for performing the method

Disclosed herein is a travel method of an intelligent robot cleaner. According to the present disclosure, it is possible to minimize a cleaning travel path in a cleaning target region and thus reduce a cleaning time by accumulating a plus unit point when the cleaner travels along a plurality of cleaning travel paths, accumulating a minus unit point when the cleaner travels along an overlapped cleaning travel path among the plurality of cleaning travel paths, and determining a final cleaning travel path by learning the accumulated unit point. The intelligent robot cleaner can be associated with an artificial intelligence module, unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services, and the like.

Travel method of intelligent robot cleaner

An electronic device capable of performing multimodal biometric authentication, where a comparison group is first formed after performing a user authentication with low precision, and then a user authentication is performed with high precision using the formed comparison group, such that the precision of the user authentication and a speed of the user authentication can be both increased.

Growing community of inventors

Seoul, South Korea

Beomoh Kim