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.

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 is recognized from image data as a target object and linked to a user based on an interaction by the user, information about the target object is obtained and a purchase of the target object is initiated.

The technology disclosed relates to using gestures to supplant or augment use of a standard input device coupled to a system. It also relates to controlling a display using gestures. It further relates to controlling a system using more than one input device. In particular, it relates to detecting a standard input device that causes on-screen actions on a display in response to control manipulations performed using the standard input device. Further, a library of analogous gestures is identified, which includes gestures that are analogous to the control manipulations and also cause the on-screen actions responsive to the control manipulations. Thus, when a gesture from the library of analogous gestures is detected, a signal is generated that mimics a standard signal from the standard input device and causes at least one on-screen action.

A machine learning image processing system performs natural language processing (NLP) and auto-tagging for an image matching process. The system facilitates an interactive process, e.g., through a mobile application, to obtain an image and supplemental user input from a user to execute an image search. The supplemental user input may be provided from a user as speech or text, and NLP is performed on the supplemental user input to determine user intent and additional search attributes for the image search. Using the user intent and the additional search attributes, the system performs image matching on stored images that are tagged with attributes through an auto-tagging process.

A contextual local image recognition module of a device retrieves a primary content dataset from a server and then generates and updates a contextual content dataset based on an image captured with the device. The device stores the primary content dataset and the contextual content dataset. The primary content dataset comprises a first set of images and corresponding virtual object models. The contextual content dataset comprises a second set of images and corresponding virtual object models retrieved from the server.

A contextual local image recognition module of a device retrieves a primary content dataset from a server and then generates and updates a contextual content dataset based on an image captured with the device. The device stores the primary content dataset and the contextual content dataset. The primary content dataset comprises a first set of images and corresponding virtual object models. The contextual content dataset comprises a second set of images and corresponding virtual object models retrieved from the server.

A system and method of identifying objects is provided. In one aspect, the system and method includes a hand-held device with a display, camera and processor. As the camera captures images and displays them on the display, the processor compares the information retrieved in connection with one image with information retrieved in connection with subsequent images. The processor uses the result of such comparison to determine the object that is likely to be of greatest interest to the user. The display simultaneously displays the images the images as they are captured, the location of the object in an image, and information retrieved for the object.

A system and method of identifying objects is provided. In one aspect, the system and method includes a hand-held device with a display, camera and processor. As the camera captures images and displays them on the display, the processor compares the information retrieved in connection with one image with information retrieved in connection with subsequent images. The processor uses the result of such comparison to determine the object that is likely to be of greatest interest to the user. The display simultaneously displays the images the images as they are captured, the location of the object in an image, and information retrieved for the object.

An electronic device is provided. The electronic device includes a communication module, a camera module, a memory configured to store capability-related information about an external electronic device and information related to content, and a processor configured to be operatively connected to the communication module, the camera module, and the memory. The processor may generate at least one first content corresponding to a user using the camera module, may convert the at least one first content into at least one second content, based on the capability-related information about the external electronic device and the information related to the content, and may transmit the converted at least one second content to the external electronic device through the communication module.