Seadronix Corp.

Samsung Electronics Co., Ltd.

Korea Advanced Institute of Science and Technology

Byeol Teo Park

Dong Hoon Kim

Han Keun Kim

Gohwoon Jeong

Daewon Yoon

Sangshin Park

Heeran Lee

Namsu Ha

Changkun Park

Mugong Bae

Hyeon Koon Myeong

Bongseok Lee

Shin Hyoung Kim

Jinhyun Kim

Ji Eun Park

In Joo Kim

Seung Mok Lee

Su Young Choi

Taek Jun Oh

Jong Dae Jung

Jung Mo Goo

The disclosure relates to an artificial intelligence (AI) system, which imitates functions of the human brain, such as recognition and determination, using a machine learning algorithm such as deep learning, and an application thereof. A computing device includes: a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory to execute the one or more instructions to: using at least one neural network, infer user-preferred item candidates and user tastes based on user information; and select and provide an item suited to the user tastes from among the user-preferred item candidates.

First neural network processing item usage history data and second neural network processing item usage and user taste history data to determine user-preferred item candidates and user taste information

The present invention relates to a method by which a computing means monitors a harbor, and a harbor monitoring method, according to one aspect of the present invention, comprises the steps of: acquiring a harbor image; generating a segmentation image corresponding to the harbor image; generating a display image corresponding to the harbor image and having a first view attribute; generating a conversion segmentation image, which corresponds to the segmentation image and has a second view attribute different from the first view attribute; matching the display image so as to generate a panoramic image; matching the conversion segmentation image so as to generate a matching segmentation image; calculating ship mooring guide information on the basis of the matching segmentation image; and outputting the mooring guide information together with the panoramic image.

Device and method for monitoring vessel and harbor

An display apparatus may include a liquid crystal; a color filter overlapping the liquid crystal; a backlight unit to supply light to the liquid crystal and including a first light source emitting light of a first wavelength and a second light source emitting a second wavelength different from the first wavelength; a first power supply part to supply a first current to the first light source; a second power supply part to supply a second current to the second light source; and a processor which may control the first power supply part and the second power supply part so that the first and second currents are simultaneously supplied to the first light source and the second light source. The processor may control the first power supply part and the second power supply part so that intensity of the first current supplied to the first light source is different from intensity of the second current supplied to the second light source.

Display apparatus including light sources having different wavelengths

A method for situation awareness is provided. The method comprises: preparing a neural network trained by a learning set, wherein the learning set includes a plurality of maritime images and maritime information including object type information which includes a first type index for a vessel, a second type index for a water surface and a third type index for a ground surface, and distance level information which includes a first level index indicating that a distance is undefined, a second level index indicating a first distance range and a third level index indicating a second distance range greater than the first distance range; obtaining a target maritime image generated from a camera; and determining a distance of a target vessel based on the distance level index of the maritime information being outputted from the neural network which receives the target maritime image and having the first type index.

Method and device for situation awareness

The present invention relates to a method for monitoring a harbor performed by a computing device, the method for monitoring the harbor according to an aspect of the present invention comprising: obtaining a harbor image having a first view attribute; generating a segmentation image having the first view attribute and corresponding to the harbor image by performing an image segmentation using an artificial neural network trained to output information, from an input image, related to an object included in the input image; generating a transformed segmentation image having a second view attribute from the segmentation image having the first view attribute based on a first view transformation information used to transform an image having the first view attribute into an image having the second view attribute different from the first view attribute; and calculating berthing guide information of the ship based on the transformed segmentation image.

Method and device for monitoring port and ship in consideration of sea level

The present invention relates to a method for generating a processed image, the method comprising: obtaining a target image; generating a target image mask corresponding to the target image using the target image and a first artificial neural network, wherein the first artificial neural network is trained to generate an image mask from a first image, and is trained by using an error calculated from a second artificial neural network, and wherein the second artificial neural network is configured to discriminate a second image generated by applying the image mask to the first image and a reference image of which the image mask is not applied; and generating the processed image of which an environmental noise is reduced from the target image by applying the target image mask to the target image.

Method for acquiring object information and apparatus for performing same

The present invention relates to a method for acquiring an object information, the method comprising: obtaining an input image acquired by capturing a sea; obtaining a noise level of the input image; when the noise level indicates a noise lower than a predetermined level, acquiring an object information related to an obstacle included in the input image from the input image by using a first artificial neural network, and when the noise level indicates a noise higher than the predetermined level, obtaining a noise-reduced image of which the environmental noise is reduced from the input image by using a second artificial neural network, and acquiring an object information related to an obstacle included in the sea from the noise-reduced image by using the first artificial neural network.

An electronic apparatus includes a communication interface; a memory storing a control code information of a content providing apparatus; and at least one processor configured to: based on repeatedly receiving, from a remote controller, a control signal for changing a volume value of the electronic apparatus more than a threshold number of times through the communication interface, obtain state information of the content providing apparatus, identify a current volume value of the content providing apparatus or a state of the content providing apparatus, based on the state information, and based on the current volume value of the content providing apparatus being less than or equal to a threshold value or the content providing apparatus being in a mute state, control the communication interface to transmit a control signal to change the volume value of the content providing apparatus to the remote controller based on the stored control code information.

Electronic apparatus and controlling method thereof

A content reproducing electronic apparatus includes a communicator including circuitry, an audio output device, and a processor configured to receive state information indicating a state of an external electronic apparatus from the external electronic apparatus located around the electronic apparatus via the communicator, obtain noise information corresponding to the received state information, and control the audio output device to output an audio signal of a content based on a volume corresponding to the obtained noise information.

Audio signal control based on noise associated with state information received from an external device

An electronic apparatus includes an interface circuitry; a display; a memory storing one or more instructions; and a processor configured to execute the one or more instructions to: receive a broadcast signal of any one of a plurality of channels through the interface circuitry, control the display to display an image of a content based on the received broadcast signal, identify timing when the content switches from a first content to a second content having a different type than the first content based on a change in a video characteristic defined corresponding to the type of the content, and perform a first operation related to the second content based on the identified timing.

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Daejeon, South Korea

Byeol Teo Park