An artificial intelligence refrigerator includes a communication unit, a camera configured to capture an image of a tray including a plurality of grooves for storing food, and a processor configured to control the communication unit and the camera. The processor extracts a marker hidden by the food of a plurality of markers respectively attached to the plurality of grooves from the captured image of the tray, acquires a position identifier of a groove corresponding to the hidden marker and a reception time indicating that the food is received in the groove, transmits the acquired position identifier and the reception time to a server through the communication unit, receives determined color information from the server based on the reception time, and controls a light emitting element provided in the groove to output a color to be displayed on the groove included in the received color information.

A refrigerator appliance, as provided herein, may include a cabinet, a door, and a camera module. The cabinet may define a chilled chamber. The door may be rotatably hinged to the cabinet to provide selective access to the chilled chamber. The camera module may be movably mounted to the cabinet (e.g., above a support shelf). The camera module may be movable on the cabinet along a predefined direction between a retracted position proximal to a first end of the cabinet and an extended position proximal to a second end of the cabinet. The camera module may be directed at the chilled chamber in the extended position to capture an image thereof.

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 The drawer door includes a drawer part configured to be inserted into and withdrawn out of the storage chamber and a door part coupled to the drawer part and configured to open and close the storage chamber.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 control system and a control method of refrigeration in a closed space based on computer vision are provided. An image of a food, temperature and humidity information in the closed space are collected, and a type of the food is identified according to the image. The image is processed through Euler video amplification when food is not packaged to obtain surface color distribution information of the food, a state of the food is determined according to the surface color distribution information and a historical learning result, and a state prompt corresponding to the state of the food is provided to a user. Temperature and humidity in the closed space are regulated according to the state of the food. The state of the food is determined according to storage time and a known quality guarantee period when the food is packaged, and another state prompt is provided to the user.

In examples, a refrigeration system includes one or more cameras that are positioned to capture images of items before the items are positioned inside the cabinet. The refrigeration system can include one or more moveable racks on which items can be placed. When the rack is moved out, items can be placed on the rack, and the set of cameras can image the rack to determine information about the items placed on the rack.

A method of providing information related to a state of an object in a refrigerator includes obtaining a first camera image including at least one object kept in the refrigerator through a camera arranged in the refrigerator, obtaining environmental information in the refrigerator through an environmental sensor arranged in the refrigerator, predicting information related to a current state of the at least one object by applying the first camera image including the at least one object and the environmental information in the refrigerator to an artificial intelligence (AI) model; and providing the information related to the current state of the at least one object.

A refrigerator appliance may include a cabinet, a door, an image module, and a drawer assembly. The cabinet may include an inner liner defining a chilled chamber. The door may be rotatably hinged to the cabinet to provide selective access to the chilled chamber. The image module may be mounted to the cabinet and have a field of view within the chilled chamber. The drawer assembly may be disposed within the field of view of the image module. The drawer assembly may include an assembly frame supported on the inner liner, a slidable drawer movably attached to the assembly frame to move relative thereto, and a plurality of weight sensors mounted on the assembly frame apart from the slidable drawer to detect a weight of one or more objects received on the drawer assembly.

A refrigerator includes a pocket that is capable of accommodating multiple liquid containers. The pocket includes a first sensor provided to an inner wall that is in contact with the side face of each of the multiple liquid containers. A detector detects the remaining amount of each liquid container that is in contact with the first sensor electrode based on the state of the first sensor electrode.

A domestic appliance for cooling and heating food items and/or beverage items may include a shell, a door, a cooling compartment defined at least in part by the shell and the door, the compartment being configured store the food items and/or the beverage items in a cooled environment and at least one solid state heating element inside of the cooling compartment, the at least one solid state heating element configured to emit infrared radiation to heat at least one of the food items and/or the beverage items without heating the surroundings or other contents of the cooling compartment.

An AI agent includes an information receiver configured to receive a purchase history of an article and determine whether or not a new article for storage in refrigerator requiring refrigeration or freezing storage exists in the purchase history, an information collector configured to collect capacity information on the new article for storage in refrigerator and movement path information on the new article for storage in refrigerator when the new article for storage in refrigerator exists in the purchase history, and an agent controller configured to determine an expected arrival time at which the new article for storage in refrigerator is to be received in a refrigerator based on the movement path information, and transmit the movement path information and the capacity information and the expected arrival time information on the new article for storage in refrigerator to the refrigerator.