A refrigerator including a main body including a storage room, a door coupled to the main body and rotatable in front of a side of the storage room, and including a display on a front surface of the door, a camera disposed to capture the storage room, and a processor configured to acquire an augmented-reality object corresponding to a food included in an image captured by the camera using a trained artificial intelligence model, to control the display to display the acquired augmented-reality object and the captured image as being overlapped with each other, and based on a user input being acquired while the acquired augmented-reality object is displayed, to provide a response to the user input based on the acquired augmented-reality object. The refrigerator can utilize an artificial intelligence model trained according to at least one of machine learning, neural network or deep learning algorithm.

The present technology relates to an information processing apparatus, an information processing method, and a food preservation apparatus each capable of more appropriately outputting a response concerning a food.

Provided is an information processing apparatus including a processing unit configured to: manage, as information regarding a food preserved in a preservation cabinet, food information containing ownership right information regarding an ownership right for each food; generate, in a case where information from an identified user contains the information regarding the ownership right, a response according to the ownership right information regarding a desired food of the user, on the basis of the managed food information; and output the generated response. The present technology is applicable to, for example, a device that makes up a food information management system.

Provided is a method of setting a system, the method being performed by a processor and including: (a) when receiving detection, by the sensor, of a first amount of goods equal to or larger than a first predetermined amount, displaying, on a display, a first screen prompting setting of a threshold amount of goods corresponding to a condition of trigger output; (b) when the sensor detects reduction of an amount of goods by at least a second predetermined amount after displaying the first screen, acquiring, as the threshold amount, a second amount of reduced goods; (c) after the threshold amount is acquired, displaying, on the display, a second screen for setting an action of the processing device; and (d) based on information on the action set after displaying the second screen, setting output contents to be output by the processing device upon satisfaction of the condition of trigger output.

Disclosed is a method of storing food in an artificial intelligent refrigerator including obtaining an image of a storage chamber through a camera installed in the storage chamber of the refrigerator; transmitting the obtained image to a server; receiving a recognition result of food newly stored in the storage chamber through AI image processing in the server from the server; and displaying notifying information related to the food in a display unit of the refrigerator based on the received result.

A method for controlling and managing a front door refrigerator using an application installed in a recording medium, according to an embodiment of the present invention, comprises: a step in which a user logs into a front door refrigerator control application installed in a recording medium including a mobile device, thereby allowing a main screen including menu display regions to be displayed on a display unit of the mobile device; and a step in which a storage information confirmation menu is selected from among a plurality of execution menus displayed in the menu display regions, wherein, when the storage information confirmation menu is selected, storage information of a product stored in the front door refrigerator is output to the display unit of the mobile device.

A refrigerator appliance is provided including a cabinet defining a chilled chamber, a door rotatably hinged to the cabinet to provide selective access to the chilled chamber, and a camera assembly mounted to the cabinet for monitoring the chilled chamber. A controller is operably coupled to the camera assembly and is configured to obtain a raw image using the camera assembly, analyze the raw image to identify an anchor object, crop the raw image to generate a reduced image surrounding the anchor object, and analyze the reduced image to identify a food item being added to or removed from the chilled chamber.

A refrigerator includes a cabinet defining a storage chamber, a drawer door, a rail that slidably couples the drawer door to the cabinet, a driving device provided in the door part, an elevation device provided in the drawer part to vertically ascend or descend at least a portion of the drawer part, and an elevation detection device. The drawer door includes a drawer part configured to be inserted into and withdrawn out of the storage chamber and a door part coupled to the drawer part and configured to open and close the storage chamber. The driving device includes a motor assembly, a screw assembly having a screw and a screw holder, and a lever that couples the screw holder to the elevation device and is configured to be rotated based on the movement of the screw holder along the screw.

A refrigerator including a main body including a storage room, a door coupled to the main body and rotatable in front of a side of the storage room, and including a display on a front surface of the door, a camera disposed to capture the storage room, and a processor configured to acquire an augmented-reality object corresponding to a food included in an image captured by the camera using a trained artificial intelligence model, to control the display to display the acquired augmented-reality object and the captured image as being overlapped with each other, and based on a user input being acquired while the acquired augmented-reality object is displayed, to provide a response to the user input based on the acquired augmented-reality object. The refrigerator can utilize an artificial intelligence model trained according to at least one of machine learning, neural network or deep learning algorithm.

A refrigerator includes a cabinet defining a storage chamber, a drawer door configured to be inserted into and withdrawn out of the storage chamber, a driving device provided at the door part, an elevation device provided at the drawer part and having a scissors lift assembly, and a connecting assembly that couples the driving device to the scissors lift assembly to transfer driving force from the driving device to the scissors lift assembly. The elevation device is configured, based on being uncoupled from the connecting assembly, to be separable from the drawer part, and the elevation device includes a restricting unit configured to restrict the scissors lift assembly from unfolding when the elevation device is separated from the drawer part. The drawer door includes a drawer part and a door part that is configured to, based on the drawer door being inserted into the storage chamber, close the storage chamber.

A refrigerator appliance may include a cabinet, a door, a scanner module, and a controller operably coupled to the scanner module. The door may be rotatably hinged to the cabinet to provide selective access to the chilled chamber. The scanner module may be mounted to the cabinet. The controller may be configured to initiate an operation routine. The operation routine may include initiating a scan sequence at the scanner module, identifying a barcode capture for a product barcode of a stored item based on the scan sequence, processing barcode data for the barcode capture according to one or more predetermined user preferences, establishing an item identifier based on the processed barcode data, and directing an update to a user list with the established item identifier.