Lg Electronics Inc.

Lg Display Co., Ltd.

Korea Institute of Science and Technology

Sangyun Kim

Hyunwoo Kim

Youngsoo Kim

Haklim Lee

Jongbeom Han

Sanghyuk Im

Bongchul Kim

Sungmok Hwang

Woojin Choi

Hyunwook Kim

Jongil Park

Ji Yoon Kang

Sangjo Kim

Tae Song Kim

Younggie Kim

Hyunsung Park

Youngtag Kwon

YoungShin Lee

Daesung Choi

Junhyeok Yang

Bongju Kim

SangHoon Lee

Dongmyung Shin

Jaesuk Yoo

Yunsik Park

Younggyu Jung

Joongkeun Lee

Jinok Kim

JunHyeok Yang

Hongwon Lee

Heesoo Kim

Changho Choi

Run Cui

Jeongyo Ha

Jae-hoon Ji

Yumin Hong

Kyeong-Sik Shin

Jaewan Park

Yi Hu

Changhwa Lee

Hoseon Rew

Rina Lee

Jaehong Eom

Seongen Lee

A product inspection apparatus including a camera configured to capture an image of a product to be inspected; and a processor configured to extract defect information from a defect indicated by the captured image of the product, generate first virtual defect data including at least one of a location, a size and a shape of the defect included in the captured image, based on the extracted defect information, generate second virtual defect data by synthesizing the first virtual defect data with non-defect data representing the product without the defect, and generate final virtual defect data by inputting the second virtual defect data to an artificial intelligence generative model.

Artificial intelligence device and method for generating training data

A timing controller suitable for providing image data and control signals to a display panel includes at least one dedicated controller configured to instruct the display panel to perform a specific operation; and a dedicated processor configured to store at least one communication-dedicated instruction, interpret, according to a communication signal designating an operation area of a communication-dedicated instruction received from an external or internal general processor, the communication-dedicated instruction within the operation area, sequentially transmit communication request signals to the corresponding dedicated controller, sequentially receive communication completion signals from the dedicated controller, and transmit an operation completion signal to the general processor when a communication completion signal for the communication-dedicated instruction of the operation area is finally received.

Timing controller and display device including the same

An artificial intelligence refrigerator includes: a display, a cabinet having a storage room receiving food, a camera provided in the cabinet and capturing an image of the storage room, a storage room sensor detecting whether the storage room is opened or closed, and a processor configured to control, based on the storage room sensor detecting that the storage room is opened, the camera to capture the image of the storage room, transmit, based on a maximum opening time point or a closing time point of the storage room being detected through processing of the captured image, a capture command to the camera, the closing time point being a time point at which the storage room starts closing, acquire a storage state of the storage room based on an image captured according to the capture command, and control the display to display food management information based on the acquired storage state.

Artificial intelligence refrigerator and operating method therefor

Door open monitoring for an intelligent device is disclosed. In a method for monitoring a door of an intelligent device according to an exemplary embodiment of the present disclosure, it is decided whether to send a message relating to the ventilation of the inside of a drum by analyzing an image generated through a camera placed in the door. A door monitoring system of the present disclosure may be associated with an artificial intelligent module, an unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a 5G service-related device, etc.

Door open monitoring for intelligent device

An indoor air quality control method using an intelligent air cleaner is disclosed. An indoor air quality control method using an intelligent air cleaner according to an embodiment of the present invention can predict indoor dust concentration progress on the basis of output values of a learning model having received dust concentration data as input values when the dust concentration data of an indoor place where the air cleaner is located is received from the air cleaner, and determine whether ventilation is required by comparing the predicted progress with outside dust concentration data received from the Meteorological Administration server. Accordingly, indoor dust concentration changes can be predicted and an appropriate ventilation time can be recommended. The intelligent air cleaner and the indoor air quality control method using the same of the present invention can be associated with artificial intelligence modules, devices related with the 5G service, and the like.

Intelligent air cleaner, indoor air quality control method and control apparatus using intelligent air cleaner

An indoor air quality control method using an intelligent air cleaner is disclosed. An indoor air quality control method using an intelligent air cleaner according to an embodiment of the present invention classifies dust concentration data received from the air cleaner according to predetermined criteria and performs dust concentration pattern analysis. Particularly, dust concentration patterns for respective time periods are analyzed to control the air cleaning intensity of the air cleaner in advance of a predicted time, thereby facilitating efficient indoor air quality management. The intelligent air cleaner and the indoor air quality control method using the same of the present invention can be associated with artificial intelligence modules, devices related with the 5G service, and the like.

Indoor air quality control method and control apparatus using intelligent air cleaner

The present invention relates to home appliances treating the laundry or object received therein using artificial intelligence. Specifically, the home appliance may include an artificial intelligence-based laundry washing machine that recognizes a load based on vision and automatically provides a specific course. The home appliance include a processor configured to: obtain a learning result from a learning operation using image information previously acquired using the camera and treatment information previously acquired from user interface; and process image information currently acquired using the camera with respect to the learning result, thereby to generate and set current treatment information; and control the home appliance to treat the object based on the set current treatment information.

Artificial intelligence washing machine providing automatic washing course based on vision

The present disclosure provides a projector including a first and a second guide members having a shape of a portion of an annular ring and comprising a first and as second slots formed along a ring line, respectively, the second slot overlapping the first slot at one point, a first and a second driving parts configured to rotate the first guide member, and a light source part having a vertical axis tilted in a state in which the light source part is constrained to the first slot and the second slot including a first and a second movable members configured to move in a longitudinal direction of the first and second slots, respectively, and a light source formed in an outer end portion of the light source part and fixed to one of the first movable member and the second movable member to move.

Light source movable projector

The present disclosure relates to a display device and sensing method. A display device includes a plurality of pixels. At least one of the pixels includes an organic light emtting diode (OLED) and a driving transistor. The driving transistor is connected in series with the OLED with a node between the OLED and the driving transistor. During a programming period the driving transistor is turned off and the OLED is turned on. During a discharging period the driving transistor is turned off and a voltage charged on the node during the programming period is discharged through the OLED. During a sensing period the OLED is turned off and the driving transistor is turned on to generate a pixel current to be sensed.

Pixel sensing device and method of organic light emitting display device

Disclosed are a projector device providing augmented reality and a method for controlling the projector device. The projector device includes a body; a projector disposed in the body and configured to project augmented reality information onto a projected region on a predefined object; a camera disposed on the body to be movable relative to the projector, wherein the camera is configured to measure a distance therefrom to the projected region and to sense an input to a sensed region of a predefined size at the measured distance; and a controller configured to control the projector and the camera, wherein the controller is configured to align the sensed region with the projected region, based on a relative position of the sensed region to the projected region, such that the camera receives the input accurately.

Projector device for augmented reality and method for controlling the same

A rollable flexible display comprises: a display panel on which signal lines and pixels are arranged; a control board that supplies the signal lines with signals to drive the pixels; and a panel roller portion around which the display panel is rolled up and including an inner space for placing the control board, wherein the transverse width of the control board is greater than the inner diameter of the panel roller portion, and an insert portion for insertion into a slot in the panel roller portion is provided on at least one edge of the control board.

Rollable flexible display

A robot cleaner system may include a robot cleaner that may be automatically driven while performing a cleaning operation, a recharging base that receives the robot cleaner, and a remote control device that remotely controls the robot cleaner. The remote control device may also generate mapping information between an actual region and a virtual region based on image information generated by a camera provided on the robot cleaner, and/or image information generated by a camera on the recharging base.

Robot cleaner system and control method of the same

Growing community of inventors

Seoul, South Korea

Sangyun Kim