LG introduces robot deep learning technology at Consumer Electronics Show

Kindly Share This Story:

LG introduces deep learning technology at CES


LG Electronics (LG) says it has delivered an unparalleled convenience into the home with deep learning technology unveiled at Consumer Electronics Show (CES) 2017 at the weekend.

LG deep learning technology will allow home appliances to better understand their users by gathering and studying customers’ lifestyle patterns over time, according to the electronics manufacturer.

This process never ends and improves over time to provide customers with new solutions to everyday problems, it said in a statement at the weekend.

Song Dae-hyun, President of LG Electronics and Home Appliance & Air Solutions Company said:  “Using multiple sensors and LG’s deep learning technology, LG’s newest robot vacuum cleaner will recognize 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 recognizes 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.

“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 what appliances are capable of will be how companies behave when entrusted with data. At LG, we believe performance and convenience do not mean having to sacrifice security and privacy. They can and should exist simultaneously.”

LG’s advanced deep learning appliances were displayed at CES 2017 in Las Vegas, USA from Jan. 5-8.

 


Kindly Share This Story:

Related Post

Leave a Reply

Your email address will not be published. Required fields are marked *

amehnews greetings

x
%d bloggers like this: