Samsung Electronics Co., Ltd.

Jiman Kim

Seongwoon Jung

Jaesung Park

Jeongkuk Shon

Dongha Bahn

Chanjong Park

Junhee Woo

Sangmin Lee

Jaeman Choi

Junhwan Ku

Moonseok Kwon

Hansu Kim

Minsang Song

Seungsik Hwang

Kuntae Kwon

Junghwa Choi

Chanho Pak

Sehyeok Park

Mirae Shin

Sungwon Seo

Gwiok Park

Soosung Kong

The disclosure relates to a projector device and a method for controlling the same. A master projector device according to an embodiment may obtain first sensing information through a visible light sensor, obtain second sensing information through an invisible light sensor, generate a positional relationship with a slave projector device based on the first sensing information and the second sensing information, and control a positional relationship of the slave projector device based on the generated positional relationship and a coordinate value of an invisible indicator identified by the invisible light sensor while projecting an image stored in a memory to a projection surface.

Projector device and method for controlling the same

An example electronic apparatus includes a display; a memory storing spectrum information of the display and color matching function (CMF) information related to the display; and a processor configured to, based on a test image being displayed through the display, obtain color measurement data based on color measurement of the test image, based on an image for converting into a non-fungible token (NFT) being selected and displayed through the display, obtain current setting information of the electronic apparatus, and obtain NFT by combining the color measurement data, current setting information of the electronic apparatus, spectrum information of the display, and CMF information related to the display with attribute information of the image.

Electronic apparatus and controlling method thereof

An electronic apparatus is disclosed. The electronic apparatus includes: an image projector, and a processor configured to: control the image projector to project a test image including a plurality of markers onto a projection plane, based on first information indicating a location of the plurality of markers in the test image and second information indicating a location of the plurality of markers in an image of the projection plane photographed by an external device, acquire third information indicating a location of a vertex of the test image in the photographed image, correct the third information based on posture information of the external device, and perform keystone correction based on the corrected third information.

Electronic apparatus and method for controlling thereof

An electronic apparatus is disclosed. The electronic apparatus includes: a memory storing a first pattern image and a second pattern image, a communication interface comprising communication circuitry configured to communicate with an external terminal apparatus, a projection part including a projection lens, and a processor configured to: control the projection part to project the first pattern image on a screen member comprising a reflector located on a projection surface, and based on receiving a first photographed image which photographed the screen member from the external terminal apparatus through the communication interface, acquire transformation information based on the first photographed image and the first pattern image, control the projection part to project the second pattern image on the projection surface, and based on receiving a second photographed image which photographed the projection surface from the external terminal apparatus through the communication interface, perform color calibration based on the characteristic of the projection surface based on the second photographed image, the second pattern image, and the transformation information.

Disclosed are an electronic device and a method for controlling an electronic device. Specifically, the present disclosure relates to: an electronic device configured to input an acquired image into a trained artificial intelligence model, acquire information about the image from a plurality of classifiers which are included in the artificial intelligence model and correspond to a plurality of layers classified according to higher and lower concepts of an object included in the image, train the artificial intelligence model on the basis of the information about the acquired image, and perform image recognition by using the trained artificial intelligence model; and a method for controlling an electronic device.

Electronic device and method for controlling electronic device

According to an embodiment, an electronic device comprises at least one processor and a memory, wherein the memory stores instructions that, when executed, cause the at least one processor to control the electronic device to: obtain data to be classified, obtain a feature vector from the data by performing convolution on the data and a plurality of filters using a classification model stored in the memory, identify outputs corresponding to subfeatures using a split layer including the subfeatures resulting from splitting the feature vector, and output a class corresponding to the data based on the outputs.

Electronic device for classifying classes, electronic device for providing classification model for classifying classes, and method for operating the same

An electronic device and a method of controlling the same are provided. The electronic device may include a display; a communication circuit; a camera; and at least one processor configured to: based on an execution of a compensation application for performing compensation on an image of a display device, control the display to output guide information including an interface indicating the electronic device to move to meet an image capturing condition for capturing an image of a partial area of a display device connected through the communication circuit; and based on the compensation of the image of the display device being completed, output a first image of the display device before the compensation and a second image of the display device after the compensation.

Electronic device for adjusting image quality of display device and method for operating the same

An electrode active material including an ordered mesoporous metal oxide; and at least one conductive carbon material disposed in a pore of the ordered mesoporous metal oxide. Also, an electrode including the electrode active material, and a lithium battery including the electrode.

Electrode active material, electrode including the same, and lithium battery including the electrode

A porous anode active material including a Group 14 element oxide and a non-active material having no reactivity with lithium; a method of manufacturing the porous anode active material; an anode including the porous anode active material; and a lithium battery including the anode. The non-active material may be silica.

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Suwon-si, South Korea

Jiman Kim