Lg Electronics Inc.

Seungchul Cha

Sanghyun Lee

Hyunji Park

Bonkwon Koo

The present invention relates to an artificial intelligence washing machine and an operation method thereof. A method of operating a washing machine may comprise estimating, based on a previous setting of a previous washing operation, an estimated setting for a current washing operation, wherein the estimated setting includes a water supply time, a drainage time, and a spin-drying time, obtaining a user input, obtaining an amount of laundry from a weight sensor of the washing machine, determining, based on the estimated setting, the user input, and the amount of laundry, a washing time for the current washing operation and displaying the determined washing time to the user. Accordingly, the estimated washing time is provided with the reflection of data of the washing machine which has been accumulated by the increase of the number of uses, thereby reducing a difference between an actual operating time and the estimated washing time and minimizing the user inconvenience.

Artificial intelligence washing machine and operation method thereof

A method for detecting an unbalance error of a machine-learning-based washing machine and the washing machine are provided. The method identifies whether laundry is within an inner drum of the washing machine using a laundry movement identifying model provided in an AI device of a server or the washing machine, measures an unbalance value on the basis of data of unbalance when the laundry is not moving, and then detects an unbalance error. The unbalance error can be more precisely detected without using additional components. The AI device for detecting the unbalance error of the present disclosure can be associated with drones (unmanned aerial vehicles (UAVs)), robots, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G service, and the like.

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Seoul, South Korea

Seungchul Cha