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公开(公告)号：US20180342081A1
公开(公告)日：2018-11-29
申请号：US15901272
申请日：2018-02-21
发明人： Joo-young KIM , Joon-ho KIM , Do-jun YANG , Hyun-woo LEE , Jong-hee HAN
摘要： 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.
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公开(公告)号：US20180121732A1
公开(公告)日：2018-05-03
申请号：US15802661
申请日：2017-11-03
发明人： Ji-man KIM , Chan-jong PARK , Do-jun YANG , Hyun-woo LEE
CPC分类号： G06K9/00718 , G06K9/00724 , G06K9/00979 , G06K9/6256 , G06K9/6262 , G06N3/04 , G06N3/0454
摘要： 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.
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3.发明申请公开(公告)号：US20200004493A1
公开(公告)日：2020-01-02
申请号：US16485721
申请日：2018-01-03
发明人： Hyun-woo LEE , Ji-man KIM , Chan-jong PARK , Do-jun YANG
摘要： 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.
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公开(公告)号：US20190318492A1
公开(公告)日：2019-10-17
申请号：US16469910
申请日：2017-12-15
发明人： Ji-man KIM , Chan-jong PARK , Do-jun YANG , Hyun-woo LEE
摘要： 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.
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公开(公告)号：US20180197094A1
公开(公告)日：2018-07-12
申请号：US15863274
申请日：2018-01-05
发明人： Hyun-woo LEE , Ji-man KIM , Chan-jong PARK , Do-jun YANG
CPC分类号： G06N5/047 , G06F17/2755 , G06F17/2765 , G06F17/2785 , G06F21/55 , G06F21/6218 , G06F2221/033 , G06K9/00718 , G06K9/6262 , G06K9/6878 , G06N3/0454 , G06N20/00
摘要： A content processing apparatus and method is provided, in which content input by a user is processed by determining whether transmission of the content corresponds to an abnormal pattern when a relation between the user and the other party is taken into account, and for automatically adjusting a permissible level by learning whether the content is an abnormal pattern based on the user's response. The content processing apparatus can estimate whether the content corresponds to an abnormal pattern by using a rule-based algorithm or an artificial intelligence (AI) algorithm when determining whether the content corresponds to the abnormal pattern. When determining whether the content corresponds to the abnormal pattern is estimated using the AI algorithm, the content processing apparatus can use machine learning, a neural network algorithm, or a deep learning algorithm.
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公开(公告)号：US20210256264A1
公开(公告)日：2021-08-19
申请号：US17246147
申请日：2021-04-30
发明人： Ji-man KIM , Chan-jong PARK , Do-jun YANG , Hyun-woo LEE
摘要： 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.
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7.发明申请公开(公告)号：US20200066158A1
公开(公告)日：2020-02-27
申请号：US16485677
申请日：2018-03-29
发明人： Chan-jong PARK , Ji-man KIM , Do-jun YANG , Hyun-woo LEE
摘要： 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.
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