Song Dae-hyun, president of LG Electronics and Home Appliance & Air Solutions Company, said “Deep learning technology is the next phase in the evolution of smart appliances, and as an industry leader, we have the responsibility of being an early mover.
"But even more important than the advanced capabilities of these appliances will be how companies behave when entrusted with data of this nature. At LG, we believe performance and convenience do not mean having to sacrifice security and privacy. They can and should exist simultaneously.”
Song raises an interesting point – smart devices all connect to the Internet (they are after all Internet of Things devices) and while one might wonder how information from a vacuum cleaner could be valuable to cyber criminals imagine if it was cleaning a secure facility, or when its lack of use denoted an empty house over the holidays.
Data is the new gold for cyber criminals and trust is the new gold for IT and consumer electronics makers.
Using multiple sensors and LG’s deep learning technology, LG’s newest robot vacuum cleaner will recognise objects around the room and react accordingly. By capturing surface images of the room, the intelligent cleaner remembers obstacles and learns to avoid them over time. It even recognises electrical wires and slippers so they don’t end up jamming the roller brush and requiring human extraction assistance. LG robot vacuum can tell the difference between a human and a chair and asks the obstructing person to kindly move out of the way whereas it will simply manoeuvre around a chair.
That is in addition to its SmartThinQ that can provide HomeView and motion detect HomeGuard – effectively turning it into a robotics watchdog.
LG’s deep learning is also enhancing the convenience its smart refrigerator brings to consumers. By analysing usage and eating patterns, LG’s deep learning refrigerator performs a variety of tasks by “predicting” the family’s activities based on their past behaviour, such as automatically filling the ice tray at the time of the day when cold drinks are most in demand. In the summer, LG’s smart refrigerator can initiate the four-stage sterilisation system on its own to extend food life when it senses temperature and humidity conditions that may contribute to food spoilage.
LG’s smart air conditioner equipped with LG deep learning technology analyses the daily behaviour patterns of its homeowners, including the parts of the home most occupied at certain times throughout the day. With this information, LG’s deep learning enabled air conditioner can assess how to provide the most comfortable temperatures quickly and efficiently, providing fast cooling to specific areas. During the weekend the living room may be the place to be, requiring the most cooling, but on weekdays the kitchen may be the centre of activity.
The new technology helps LG’s washing machine learn about the local environment and the user’s everyday activities to provide the optimal washing performance. For example, in areas where the water contains excessive calcium carbonate, LG’s smart washing machine adjusts the water temperature and the amount of water used to counter the effects of hard water on clothes. In areas where dust storms are common, the washing machine automatically adds another rinse cycle for even cleaner clothes.