Samsung Electronics Co., Ltd.

Do-Jun Yang

Jong-Ho Lee

Ji-man Kim

Sun-eung Park

Eun Namgung

Jin-goo Seo

Joo-Young Kim

Joon-Ho Kim

Jin-Ho Lee

Hyun-woo Lee

Chan-jong Park

In-chul Hwang

Cheol-ju Hwang

Tae-Kwang Um

Soo-in Jang

Zhang-hoon Oh

Se-Hyun Park

Jin-ho Lee

Hyung-tak Choi

Han-sung Lee

Woo-hyoung Lee

Ye-hoon Kim

Jong-hee Han

Hyun-Jae Baek

Dong-Seok Kim

Jun-ik Jang

So-jung Yun

Soon-hyuk Hong

Jong-Hee Han

Ji-Man Kim

Jun-Ik Jang

Han-Sung Lee

Soon-Hyuk Hong

Min-Kyoung Kang

Tae-Jeoung Kim

Disclosed is a data recognition model construction apparatus. The data recognition model construction apparatus includes a video inputter configured to receive a video, an image composition unit configured to, based on a common area included in each of a plurality of images that form at least a portion of the video, generate a composition image by overlaying at least a portion of the plurality of images, a learning data inputter configured to receive the generated composition image, a model learning unit configured to make a data recognition model learn using the generated composition image, and a model storage configured to store the learnt data recognition model.

Data recognition model construction apparatus and method for constructing data recognition model thereof, and data recognition apparatus and method for recognizing data thereof

Disclosed are an artificial intelligence (AI) system using a machine learning algorithm such as deep learning, and an application thereof. The present disclosure provides an electronic device comprising: an input unit for receiving content data; a memory for storing information on the content data; an audio output unit for outputting the content data; and a processor, which acquires a plurality of data keywords by analyzing the inputted content data, matches and stores time stamps, of the content data, respectively corresponding to the plurality of acquired keywords, based on a user command being inputted, searches for a data keyword corresponding to the inputted user command among the stored data keywords, and plays the content data based on the time stamp corresponding to the searched data keyword.

Electronic device and control method

The disclosure relates to an artificial intelligence (AI) system using a machine learning algorithm such as deep learning, and an application thereof. In particular, an electronic apparatus, a document displaying method thereof, and a non-transitory computer readable recording medium are provided. An electronic apparatus according to an embodiment of the disclosure includes a display unit displaying a document, a microphone receiving a user voice, and a processor configured to acquire at least one topic from contents included in a plurality of pages constituting the document, recognize a voice input through the microphone, match the recognized voice with one of the acquired at least one topic, and control the display unit to display a page including the matched topic.

Electronic apparatus, document displaying method thereof and non-transitory computer readable recording medium

An electronic device, a warning message providing method therefor, and a non-transitory computer-readable recording medium are provided. Disclosed is an artificial intelligence (AI) system using a machine learning algorithm such as deep learning and an application thereof. Disclosed, according to one embodiment, is an electronic device which can comprise: a position determination unit for determining a current position of the electronic device; a communication unit for receiving accident data and a driving situation; an output unit for outputting a warning message; and a processor for learning the received accident data to establish a plurality of accident prediction models, selecting an accident prediction model to be applied from among the plurality of accident prediction models based on the determined current position, determining possibility of accident occurrence by using the selected accident prediction model, and controlling the output unit such that the output unit provides a warning message based on determining that the possibility of accident occurrence is greater than or equal to a preset value.

Electronic device, warning message providing method therefor, and non-transitory computer-readable recording medium

Provided is an Artificial Intelligence (AI) system for simulating a human brain's functions, such as recognition, decision, etc., by using a machine learning algorithm such as deep learning, etc. and applications of the AI system. Provided is an electronic device including: a camera configured to capture an outside image of a vehicle, and a processor configured to execute one or more instructions stored in a memory, wherein the processor executes the one or more instructions to: determine, from the captured image, at least one object for estimating lane information; estimate, from the image, lane information of a road on which the vehicle is traveling, based on a distance between the determined at least one object and the vehicle and a vanishing point of the image; and output guide information for guiding driving of the vehicle based on the estimated lane information.

Method for estimating lane information, and electronic device

A method includes obtaining, by a device and from a dynamic vision sensor (DVS), a set of images of an object that identifies that the object has moved. The method includes determining, by the device, that the object is associated with a predetermined posture based on the set of images. The method includes determining, by the device, a group to which the object belongs based on an attribute of the object and an attribute of the group. The method includes determining, by the device, whether the object is associated with the dangerous situation based on identifying that the object is associated with the predetermined posture and based on setting information associated with the group to which the object belongs.

Method and device for detecting dangerous situation

A device and method are provided. The device includes a controller, a memory, and a transceiver. The controller generates authentication information based on a user input to the device. The memory stores the generated authentication information. The transceiver receives authentication information, which is generated by a point of sale (POS) terminal based on a user input to the POS terminal, from the POS terminal, when the device enters within a predetermined range from the POS terminal. The controller compares the generated authentication information with the received authentication information, and provides card information which is used in a transaction with respect to an item or a service to the POS terminal based on a result of the comparison.

Method and system for authenticating transaction request from device

A method of detecting a dangerous situation includes obtaining a first image including a first object capable of generating a movement, by using a dynamic vision sensor (DVS); detecting, from the first image, a second image including the first object in a predefined pose; and determining whether a situation of the first object is the dangerous situation by analyzing the second image.

Method and system for detecting dangerous situation

An electronic apparatus is provided. The electronic apparatus includes at least one processor configured to detect, by a sensor, a driving state of a vehicle or a driving state of another vehicle in a vicinity of the vehicle while the vehicle is being driven, obtain state data including the driving state of the vehicle and the driving state of the other vehicle, and use at least one data recognition model to determine a dangerous situation of the vehicle after a certain period of time while the vehicle is being driven, based on the obtained state data. The electronic apparatus may predict a dangerous situation of the vehicle by using a rule-based algorithm or an artificial intelligence (AI) algorithm. The electronic apparatus predicts the dangerous situation of the vehicle by using at least one of machine learning, a neural network, and a deep learning algorithm.

Electronic apparatus for determining a dangerous situation of a vehicle and method of operating the same

A mobile terminal is provided. The mobile terminal includes a voice receiving module configured to receive the voice of a user through a first application and to generate first voice data for the voice received through the first application, a control module configured to transmit the first voice data and user information corresponding to the first voice data to a service server and to request the service server to register the first voice data and the user information, and a communication module configured to transmit, to the service server, a request for the user information corresponding to the voice of the user received through a second application when the voice of the user is received through the second application.

Mobile terminal and control method thereof

A method of acquiring and processing information on a mobile terminal is provided. The method includes: receiving, at the mobile terminal, information about at least one item displayed on an external display device from the external display device; and performing, at the mobile terminal, a function for the at least one item based on the received information.

Information providing method, mobile terminal and display device for the same

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Yongin-si, South Korea

Do-Jun Yang