A method for calibrating an induction cooking device includes capturing image data representing a cooking vessel and processing the image data to identify one or more features. The method further includes comparing the image data representing the cooking vessel to a library of stored image data of calibrated cookware. In response to identifying stored image data in the library that matches the one or more features, the method accesses preconfigured calibration data and configures the operation of the induction cooking device based on the preconfigured calibration data.

A method of operating a voice assistant activation system, the voice assistant activation system comprising a microphone, a first voice assistant module, and a second voice assistant module. The method includes receiving, via the microphone, a voice input; transmitting the voice input via a first virtual microphone to the first voice assistant module; transmitting the voice input via a second virtual microphone to the second voice assistant module; activating the first voice assistant module when the voice input comprises a first keyword; and activating the second voice assistant module when the voice input comprises a second keyword.

A system is described that generates insights on the consumption or usage behavior of a product by analyzing the real-time usage of the product by one or more users. The product is placed on the measuring device for continuous monitoring of the usage of the product by those one or more users in real-time. The measuring device includes a sensor unit that generates weigh data, motion data, location data, and time consumed data of the product and transmits to a computing device. A communication device records the consumption or usage of the product by a user, along with feedback from the user. The computing device generates insights based on the sensed data generated by the measuring device, and recording and feedback at the communication device. The computing device generates reports—one for the user, and one for a merchant of the product and/or similar products—including respective insights.

The present disclosure relates to a system and method for controlling home appliances that operates home appliances using a user terminal and controls the operation of the home appliances arranged in a space in consideration of the amount of power consumed in the space. In the present disclosure, when a first home appliance is operated, the first home appliance is operated only when the total power consumption of the first home appliance and other home appliances that are already operating is less than or equal to a reference value.

Provided is a method, computer program product, and system for leveraging spatial scanning data of an environment collected by a robotic vacuum to generate recommendations for improving environmental conditions. A robotic vacuum may collect cleanliness data relative to an environment. The robotic vacuum may store the cleanliness data over a plurality of cleaning cycles. The robotic vacuum may analyze the cleanliness data over the plurality of cleaning cycles to identify one or more cleanliness trends. The robotic vacuum may generate a recommendation for improving an environmental condition relative to the environment based on the identified one or more cleanliness trends. The robotic vacuum may provide the recommendation to a user.

The present invention relates to a smart home controller refrigerator and a control method therefor, the smart home controller refrigerator, according to one embodiment of the present invention, comprising: a control unit comprising a control protocol communication unit for receiving control information for controlling a home appliance in a home, an operation protocol communication unit for generating an operation signal calculated from the control information, and a signal transmission unit for transmitting the operation signal to the home appliance; at least one storage space; and at least one door for controlling the opening/closing of the at least one storage space.

A method for operating an appliance, the appliance including a user interface and a wireless connection module. The method includes establishing a wireless connection between the appliance and a wireless network via the wireless connection module, determining that the appliance is communicating with a remote server via the wireless connection module in response to establishing the wireless connection, and disabling a disconnect button on the user interface for disconnecting the appliance from the wireless connection in response to determining the communication between the appliance and the remote server.

A method of controlling a home appliance connected to the Internet via a gateway and an appliance control server of an appliance control cloud. The appliance executes control commands for operating the appliance received from the Internet via the gateway only if the commands are received from the appliance control cloud. A control command supply server of a control command supply cloud is connected to the home appliance control cloud via the Internet, and has at least one repository storing control instruction sets to operate the appliance. The method includes authenticating a request for remote control of the appliance received from the control command supply server via the Internet, and, responsive to positive authentication, forwarding control commands from the control command supply server to the appliance. The control commands are part of a set of instructions from the repository selected based on input received by a user terminal device.

A method of controlling a home appliance, the method including, by a home appliance: outputting, via Bluetooth low energy (BLE) advertising, a BLE advertising packet including service set identifier (SSID)-related information related to an SSID of a software enabled access point (Soft AP) of the home appliance in a new product state in which the home appliance has not been registered in a server; outputting a Wi-Fi beacon of the Soft AP; in response to a connection request for the Soft AP received from a mobile device after outputting the Wi-Fi beacon, establishing a Wi-Fi communication connection between the mobile device and the Soft AP; receiving, from the mobile device via the Wi-Fi communication connection, a control signal related to an initial setting operation of registering the home appliance in the server; and performing the initial setting operation, based on the received control signal.

A method of controlling a home appliance which operates in an Internet of Things environment through a 5G communication network and which is performed using a neural network model generated by machine learning, including determining whether there is a user in the vicinity of the home appliance, capturing a motion of the user using a vision sensor based on a determination that there is a user in the vicinity of the home appliance, identifying an intention of the user based on the captured motion, and activating a speech module of the home appliance based on the intention of the user.