To advance the functionality of today's home appliance, LG Electronics is set to deliver performance and convenience to the home with deep learning technology to be unveiled at CES 2017.

LG deep learning technology will allow home appliances to better understand their users by gathering and studying customers' lifestyle patterns over time.

For example, using multiple sensors and LG's deep learning technology, LG's newest robotic vacuum cleaner will recognize objects around the home, such as wires and shoes, and react accordingly. By capturing surface images of different rooms, the intelligent cleaner remembers obstacles and learns to avoid them over time. The LG robotic vacuum can also maneuver around household objects and differentiate between them and a person. Should someone stand directly in the vacuum's path, it will ask that they step aside in order to continue the cleaning process.

LG's deep learning is also enhancing the convenience LG's smart refrigerator brings to consumers. By analyzing usage and eating patterns, LG's deep learning refrigerator performs a variety of tasks by "predicting" the family's activities based on their past behavior, 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 4-stage sterilization 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 analyzes the daily behavior 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 is able to assess how to provide the most comfortable temperatures efficiently, providing fast cooling to specific areas of the home families use at a greater frequency and for longer periods of time such as the living room or kitchen.

The new technology also helps LG's washing machine learn about the local environment and the user's everyday activities in order to provide the optimal washing performance. For example, in areas with hard water, LG's smart washing machine adjusts the 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 enhanced cleaning.

LG's advanced deep learning appliances will be on display at CES 2017 from Jan. 5-8.