Provided is a method for preventing an accident related to children or pets that may occur by a home appliance using artificial intelligence. According to the present disclosure, the method for preventing the accident comprises comparing a distance between the home appliance and a generation position of the voice signal and a reference distance when the generation position of the voice signal is outside of the home appliance. Then, the present disclosure enables switching a door of the home appliance to a lock state when a distance between the home appliance and the generation position of the voice signal is less than the reference distance. Thus, the present disclosure may enable controlling the home appliance to prevent children or pets from entering an inside of the home appliance.

The present disclosure relates to a clothes treating apparatus including a drum, a door to open and close the drum, an opening/closing switch to output a signal in response to opening or closing of the drum by the door, a motor to rotate the drum, a controller to generate a control command for controlling a rotational speed of the motor, a driving device including an inverter to convert power applied to the motor and an inverter driver to output a control signal of the inverter in response to the generated control command, and a protection switch connected between the opening/closing switch and the inverter driver to be turned on or off by the signal output by the opening/closing switch, wherein the inverter driver turns off the inverter when a voltage applied by the protection switch is less than or equal to a reference voltage.

A method of operating a laundry machine apparatus includes determining that an amount of water above a predetermined amount is present within a tub, setting a limited rotational velocity of the drum, and determining a laundry load characteristic in order to rotate the drum at a standard rotational velocity above the limited rotational velocity.

A method of operating a laundry machine apparatus includes determining that an amount of water above a predetermined amount is present within a tub, setting a limited rotational velocity of the drum, and determining a laundry load characteristic in order to rotate the drum at a standard rotational velocity above the limited rotational velocity.

A washing machine according to an aspect of the disclosure includes: a tub; a drum rotatably provided inside the tub; a heater configured to heat water; a circulating pump configured to circulate a part of the water stored in the tub; a water level sensor configured to sense a water level of water in the tub; and a controller configured to control the circulating pump to circulate the part of the water stored in the tub, and control revolutions per minute (rpm) of a motor of the circulating pump based on a water level of the water while the water stored in the tub circulates and the heater is driven.

Disclosed is an intelligent washing machine. A control method for an intelligent washing machine according to an embodiment of the present invention may: predict a washing machine cycle from user information; control the washing machine according to the predicted washing machine cycle; acquire an image of the inside of the drum by means of a camera while the washing machine is being controlled; predict the contamination level inside the drum by using the acquired image; and perform an additional control operation according to the predicted result. The intelligent washing machine may be linked to an Artificial Intelligence module, an Unmanned Aerial Vehicle (UAV), a robot, an Augmented Reality (AR) device, a virtual reality (VR) device, a device related to a 5G service, or the like.

Disclosed is an intelligent washing machine. A control method for an intelligent washing machine according to an embodiment of the present invention may: predict a washing machine cycle from user information; control the washing machine according to the predicted washing machine cycle; acquire an image of the inside of the drum by means of a camera while the washing machine is being controlled; predict the contamination level inside the drum by using the acquired image; and perform an additional control operation according to the predicted result. The intelligent washing machine may be linked to an Artificial Intelligence module, an Unmanned Aerial Vehicle (UAV), a robot, an Augmented Reality (AR) device, a virtual reality (VR) device, a device related to a 5G service, or the like.

A method for detecting entrapment of an article between a laundry machine door and bellows, comprising: identifying a maximum startup motor torque value of the drum motor while accelerating the drum from a stop to a target rotation speed; identifying a maximum operating motor torque value while rotating the drum at the target rotation speed; comparing a difference between the maximum startup motor torque value and the maximum operating motor torque value to a predetermined torque difference value; and terminating operation if the difference exceeds the predetermined torque difference value. A laundry washing machine configured to perform the method is also provided.

A method for detecting entrapment of an article within a laundry washing machine. The method includes rotating the drum to a target rotation speed, determining a respective drum motor torque value for each rotation, determining a distribution characteristic value of the drum motor torque values, comparing the distribution characteristic value to a predetermined threshold value, performing a correction operation to address an entrapment condition upon determining that the distribution characteristic value is above the predetermined threshold value, and proceeding with the laundry washing cycle upon determining that the distribution characteristic value is below the predetermined threshold value.

A method for detecting entrapment of an article within a laundry washing machine. The method includes rotating the drum to a target rotation speed, determining a respective drum motor torque value for each rotation, determining a distribution characteristic value of the drum motor torque values, comparing the distribution characteristic value to a predetermined threshold value, performing a correction operation to address an entrapment condition upon determining that the distribution characteristic value is above the predetermined threshold value, and proceeding with the laundry washing cycle upon determining that the distribution characteristic value is below the predetermined threshold value.