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Analyzing cloud data and optimizing operations by considering customer lifestyle patterns and surrounding environments
Air conditioners that concentrate cooling in frequently occupied spaces, refrigerators that automatically enter power-saving mode during sleep, etc.
LG Electronics will debut smart appliances featuring Deep Learning technology for the first time at the 'CES 2017' exhibition opening on the 5th of next month in Las Vegas, USA.
LG Electronics will showcase deep learning-based smart appliances such as air conditioners and robot vacuums that independently learn user habits in using home appliances and surrounding environmental conditions to provide optimal features to users.

■SmartThinQ sensor showcased at the IFA exhibition in September.
LG Electronics plans to add deep learning to its smart home service 'SmartThinQ(SmartThinQTM)' and lead the way in true smart homes where appliances independently understand and operate for customers.
LG Electronics' deep learning-based smart appliances analyze data accumulated in the cloud through various sensors and WiFi, and independently operate in ways optimized to users' lifestyle patterns and surrounding environments.

■ LG smart home service linked with SmartThinQ exchanges signals with smartphones through a dedicated gateway of the SmartThinQ sensor. LG Electronics launched three IoT-linked devices including smart bulbs, smart plugs, and motion sensors in October.
While conventional air conditioners cool all areas of the living room uniformly, air conditioners with deep learning technology identify spaces where users spend most of their time and concentrate cooling there. Robot vacuums can distinguish between obstacles to avoid and obstacles to cross. Previously, they would attempt to go over a person's feet, but with the help of deep learning, they wait about 3 seconds in front of a person's feet, resume cleaning if the feet move away, or take a detour if the feet remain stationary.
Smart refrigerators also analyze the number of times and duration doors are opened, and automatically operate in power-saving mode during sleeping hours when users do not open the door. During summer heat, if the temperature and humidity in the kitchen are high, the sterilization function is set to the highest level, 'Power Mode,' to prevent food from spoiling easily. Smart washing machines fill more water and raise the temperature in areas with high mineral content to ensure better rinsing.

LG Electronics has launched smart home accessories including SmartThinQ™ Sensor and SmartThinQ™ Hub this year, and plans to showcase smart appliances equipped with deep learning technology next year, progressively building the smart home infrastructure.
LG Electronics' Song Dae-hyun, Executive Vice President of H&A Business Division, emphasized, "We will continue to lead the smart home market with deep learning technology that enables appliances to understand customers."
Air conditioners that concentrate cooling in frequently occupied spaces, refrigerators that automatically enter power-saving mode during sleep, etc.
LG Electronics will debut smart appliances featuring Deep Learning technology for the first time at the 'CES 2017' exhibition opening on the 5th of next month in Las Vegas, USA.
LG Electronics will showcase deep learning-based smart appliances such as air conditioners and robot vacuums that independently learn user habits in using home appliances and surrounding environmental conditions to provide optimal features to users.
■SmartThinQ sensor showcased at the IFA exhibition in September.
LG Electronics plans to add deep learning to its smart home service 'SmartThinQ(SmartThinQTM)' and lead the way in true smart homes where appliances independently understand and operate for customers.
LG Electronics' deep learning-based smart appliances analyze data accumulated in the cloud through various sensors and WiFi, and independently operate in ways optimized to users' lifestyle patterns and surrounding environments.
■ LG smart home service linked with SmartThinQ exchanges signals with smartphones through a dedicated gateway of the SmartThinQ sensor. LG Electronics launched three IoT-linked devices including smart bulbs, smart plugs, and motion sensors in October.
While conventional air conditioners cool all areas of the living room uniformly, air conditioners with deep learning technology identify spaces where users spend most of their time and concentrate cooling there. Robot vacuums can distinguish between obstacles to avoid and obstacles to cross. Previously, they would attempt to go over a person's feet, but with the help of deep learning, they wait about 3 seconds in front of a person's feet, resume cleaning if the feet move away, or take a detour if the feet remain stationary.
Smart refrigerators also analyze the number of times and duration doors are opened, and automatically operate in power-saving mode during sleeping hours when users do not open the door. During summer heat, if the temperature and humidity in the kitchen are high, the sterilization function is set to the highest level, 'Power Mode,' to prevent food from spoiling easily. Smart washing machines fill more water and raise the temperature in areas with high mineral content to ensure better rinsing.

LG Electronics has launched smart home accessories including SmartThinQ™ Sensor and SmartThinQ™ Hub this year, and plans to showcase smart appliances equipped with deep learning technology next year, progressively building the smart home infrastructure.
LG Electronics' Song Dae-hyun, Executive Vice President of H&A Business Division, emphasized, "We will continue to lead the smart home market with deep learning technology that enables appliances to understand customers."
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신윤오 Reporter















