Method for determining the temperature of products transported on the conveyor belt of a cryogenic tunnel, comprising the following steps: —continuously measuring the surface temperature of products travelling on the conveyor belt; —measuring the thickness of a product at the point where the temperature measurement is taken; —performing the following evaluation: a. when the thickness of the product is within a certain range, then the temperature measured for said product is considered to be a reliable value; b. when the thickness of the product is outside the range, then the last temperature value of the measured product is considered to be a reliable value according to paragraph a) above; c. after a determined period of time during which the measured thickness is outside the range, it is concluded that there are no products on the conveyor belt and the temperature measurements are no longer taken into account.

A refrigerator can include a storage compartment having a storage space and an opening; at least one door coupled to the storage compartment to open and close a part of the storage compartment; a compressor configured to provide the storage compartment with freezing capacity or cooling capacity; a processor configured to control driving of the compressor; and a memory operably connected to the processor and configured to store code to cause the processor to in response to recognizing placement of an item in the storage space, determine whether the item is an overload item to generate a determination result; and control the driving of the compressor to adjust a temperature of the storage space based on the determination result.

An artificial intelligence refrigerator according to one embodiment of the present disclosure can comprise: an inner door; an outer door having a transparent display on the front surface thereof; one or more cameras provided to the outer door; a sensor for sensing the opening/closing or opening angle of the outer door; and one or more processors for determining whether the opening angle of the outer door is a preset angle when closing of the outer door is sensed, photographing the inner door through the one or more cameras when the opening angle of the outer door is the preset angle, acquiring, on the basis of a captured image, the storage state of food stored in the inner door, and displaying food management information on the transparent display on the basis of the acquired storage state.

A wine storage apparatus is provided. The wine storage apparatus includes a housing, a door configured to open and close the housing and including a display, a rack provided inside the housing and configured to hold a bottle of wine, a sensor configured to obtain information about whether a bottle of wine is stored on the rack, and a processor configured to identify whether the bottle of wine is stored on the rack based on the information, and control the display to display guide information of the bottle of wine based on an identification result.

An object recognition method of a refrigerator is disclosed. The disclosed object recognition method of a refrigerator comprises the steps of: obtaining a captured image of a storage compartment of a refrigerator; checking the change in the imaging direction of an image capturing device which has captured the image of the storage compartment, when a change in the captured image is confirmed compared to a previously stored image; and performing an object recognition operation of the captured image when the imaging direction is maintained.

Methods of operating a refrigerator appliance are provided. The refrigerator appliance includes a cabinet defining a food storage chamber with a drawer slidably mounted within the food storage chamber. The refrigerator appliance also includes a sensor operable to detect an atmospheric condition within the food storage chamber of the drawer and a camera assembly positioned and configured for monitoring the drawer. The methods generally include obtaining an image using the camera assembly and analyzing the image to identify a first food item and a second food item in the food storage chamber of the drawer.

A detection system for estimating a weight of one or more items in a refrigerator is disclosed. The system comprises at least one shelf; at least one transducer configured to transmit a sonic or ultrasonic wave into the at least one shelf and capture the reflected or refracted wave from the shelf; and a processor configured to estimate the weight of the one or more items on the shelf from the sonic or ultrasonic wave received from the at least one transducer. The system further comprises a plurality of cameras configured to capture images of the one or more items on the shelf. The cameras are configured to capture images of the items while on the shelf and off the shelf, which are then used to identify the items and the changes in weight of those items. Items may be automatically reorder based on their weight or change in weight.

A movable controlled atmosphere store for fruits and vegetables, including: a store body in rectangular container structure and successively provided with an equipment room and a storage room along length direction; the equipment room is provided with an equipment door respectively on left and right sides; the storage room is in thermal insulation and sealing structure and provided with a sealing door at an end far away from the equipment room, and is provided with a sampling door on a side which is provided with a sealing film connected around a frame thereof, and a sampling assembly connected with the sealing film in cylindrical structure; a controlled atmosphere control system, including a control panel, as well as a refrigerator, a humidifier, a sterilizer, a nitrogen generator, a carbon dioxide adsorber, an ethylene adsorber, a temperature and humidity sensor and a gas concentration sensing device connected with the control panel.

A refrigerator appliance may include a cabinet, a door, a camera module, and a controller. The camera module may be mounted to the cabinet. The controller may be operably coupled to the camera module. The controller may be configured to initiate an operation routine. The operation routine may include initiating an image capture sequence at the camera module. The image capture sequence may include a two-dimensional image captured at the camera module. The operation routine may further include determining an appendage-occupied region within the two-dimensional image and analyzing the appendage-occupied region in response to determining the appendage-occupied region. The operation routine may still further include assigning a confidence score to a user profile stored in the controller based on analyzing the appendage-occupied region, comparing the assigned confidence score to a threshold score, and recording metadata regarding the two-dimensional image based on comparing the assigned confidence score.

A temperature-context-aware refrigerator according to an embodiment comprises: a temperature context awareness unit for sensing a temperature of at least one storage compartment, and when the difference between the sensed temperature and a temperature set for the corresponding storage compartment is equal to or greater than a predetermined level, generating load-responsive operation information including a target temperature lower or higher than the set temperature; a temperature control unit for controlling a temperature sensor and the temperature context awareness unit, and performing a load-responsive operation for controlling the temperature of the storage compartment by using the load-responsive operation information; and a database unit which used by the temperature context awareness unit to generate the load-responsive operation information.