Abstract: A report evaluation method of a report evaluation device may include receiving a report from at least one client terminal, determining a category of the received report, identifying a learning model corresponding to the category, evaluating a reliability of the report through the learning model, and generating and outputting information on the reliability.

Abstract: The present disclosure relates to a display device. A display device according to an exemplary embodiment of the present disclosure includes a display panel in which a plurality of pixels is disposed, a timing controller which generates and outputs drive signals required to drive the display panel, a first communication line which is electrically connected between the timing controller and a first memory and is electrically connected to an external device, a second communication line which is connected between the timing controller and a second memory and is electrically connected to the external device and a line controller which controls whether to use the second communication line depending on whether the first communication line is used.

Abstract: A report evaluation method of a report evaluation device may include receiving a report from at least one client terminal, determining a category of the received report, identifying a learning model corresponding to the category, evaluating a reliability of the report through the learning model, and generating and outputting information on the reliability.

Abstract: A report evaluation method of a report evaluation device may include receiving a report from at least one client terminal, determining a category of the received report, identifying a learning model corresponding to the category, evaluating a reliability of the report through the learning model, and generating and outputting information on the reliability.

Abstract: A report evaluation method of a report evaluation device may include receiving a report from at least one client terminal, determining a category of the received report, identifying a learning model corresponding to the category, evaluating a reliability of the report through the learning model, and generating and outputting information on the reliability.

Abstract: A server may include a communicator for receiving an image from a subject terminal from among a plurality of terminals; and a controller for identifying a type of a content included in the received image, and for controlling two or more different image filters using a recommended algorithm regarding an image filter to be applied to the image, wherein the controller may select a first image filter predicted to have a highest probability to be selected by a user of the subject terminal and a second image filter predicted to have a second highest probability to be selected by the user of the subject terminal using the recommended algorithm, and the communicator may transmit information on the first image filter and information on the second image filter to the subject terminal.

Abstract: A terminal according to the present disclosure comprises an inputter for receiving input of a preview image converted from light reflected from surroundings of the terminal; a controller for identifying a type of an object included in the preview image and selecting two or more image filters using a recommended algorithm regarding an image filter to be applied to the preview image; and a display for displaying the preview image to which the selected two or more image filters are applied, wherein the controller may apply a first image filter of the two or more filters to a first image area of the preview image and apply a second image filter that is different from the first image filter to a second image area that is an area excluding the first image area of the preview image.

Abstract: A server may include a communicator for receiving an image from a subject terminal from among a plurality of terminals; and a controller for identifying a type of a content included in the received image, and for controlling two or more different image filters using a recommended algorithm regarding an image filter to be applied to the image, wherein the controller may select a first image filter predicted to have a highest probability to be selected by a user of the subject terminal and a second image filter predicted to have a second highest probability to be selected by the user of the subject terminal using the recommended algorithm, and the communicator may transmit information on the first image filter and information on the second image filter to the subject terminal.

Abstract: A terminal according to the present disclosure comprises an inputter for receiving input of a preview image converted from light reflected from surroundings of the terminal; a controller for identifying a type of an object included in the preview image and selecting two or more image filters using a recommended algorithm regarding an image filter to be applied to the preview image; and a display for displaying the preview image to which the selected two or more image filters are applied, wherein the controller may apply a first image filter of the two or more filters to a first image area of the preview image and apply a second image filter that is different from the first image filter to a second image area that is an area excluding the first image area of the preview image.