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公开(公告)号:US20240339037A1
公开(公告)日:2024-10-10
申请号:US18748637
申请日:2024-06-20
申请人: Seadronix Corp.
发明人: Byeol Teo PARK , Han Keun KIM , Dong Hoon KIM
IPC分类号: G08G3/02 , G06F18/21 , G06F18/22 , G06N3/04 , G06N3/08 , G06T5/70 , G06T7/11 , G06T7/50 , G06T7/70 , G06V10/10 , G06V10/24 , G06V10/26 , G06V10/30 , G06V10/80 , G06V10/82 , G06V20/52 , G06V20/70 , H04N7/18
CPC分类号: G08G3/02 , G06F18/21 , G06F18/22 , G06N3/04 , G06N3/08 , G06T5/70 , G06T7/11 , G06T7/50 , G06T7/70 , G06V10/16 , G06V10/24 , G06V10/26 , G06V10/30 , G06V10/809 , G06V10/82 , G06V20/52 , G06V20/70 , H04N7/181 , G06T2207/20081 , G06T2207/30232
摘要: 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.
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公开(公告)号:US20220230022A1
公开(公告)日:2022-07-21
申请号:US17707510
申请日:2022-03-29
申请人: Seadronix Corp.
发明人: Byeol Teo PARK , Han Keun KIM , Dong Hoon KIM
摘要: 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.
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公开(公告)号:US20210357655A1
公开(公告)日:2021-11-18
申请号:US17282660
申请日:2019-10-04
申请人: SEADRONIX CORP.
发明人: Byeol Teo PARK , Han Keun KIM , Dong Hoon KIM
IPC分类号: G06K9/00 , G06T7/50 , G06T7/11 , G06K9/20 , G06K9/62 , H04N7/18 , G06T5/00 , G06T7/70 , G08G3/02 , G06N3/04 , G06N3/08
摘要: 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.
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公开(公告)号:US20230174202A1
公开(公告)日:2023-06-08
申请号:US18104011
申请日:2023-01-31
申请人: Seadronix Corp.
发明人: Byeol Teo PARK , Han Keun KIM , Dong Hoon KIM
IPC分类号: B63B49/00 , G06V10/30 , G06F18/2413 , G06N3/045 , G06V10/80 , G06V10/82 , G06V10/26 , G06V20/70 , G06V10/36
CPC分类号: B63B49/00 , G06V10/30 , G06F18/2413 , G06N3/045 , G06V10/809 , G06V10/82 , G06V10/26 , G06V20/70 , G06V10/36
摘要: 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.
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公开(公告)号:US20230068036A1
公开(公告)日:2023-03-02
申请号:US17976296
申请日:2022-10-28
申请人: Seadronix Corp.
发明人: Byeol Teo PARK , Han Keun KIM , Dong Hoon KIM
摘要: 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.
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公开(公告)号:US20210019521A1
公开(公告)日:2021-01-21
申请号:US17010177
申请日:2020-09-02
申请人: Seadronix Corp.
发明人: Byeol Teo PARK , Han Keun KIM , Dong Hoon KIM
摘要: 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.
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公开(公告)号:US20230377326A1
公开(公告)日:2023-11-23
申请号:US18364281
申请日:2023-08-02
申请人: Seadronix Corp.
发明人: Byeol Teo PARK , Han Keun KIM , Dong Hoon KIM
CPC分类号: G06V20/00 , G08G3/02 , G06T7/50 , G06T7/70 , G06N3/08 , B63B79/15 , G06F18/21 , G06F18/2431 , G06T2207/30252 , G06T7/11
摘要: 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.
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公开(公告)号:US20220351523A1
公开(公告)日:2022-11-03
申请号:US17860692
申请日:2022-07-08
申请人: Seadronix Corp.
发明人: Han Keun KIM , Dong Hoon KIM , Byeol Teo PARK , Jung Mo GOO
摘要: 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.
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公开(公告)号:US20210374461A1
公开(公告)日:2021-12-02
申请号:US16766549
申请日:2019-07-25
申请人: Seadronix Corp.
发明人: Byeol Teo PARK , Han Keun KIM , Dong Hoon KIM
摘要: 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.
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公开(公告)号:US20200074239A1
公开(公告)日:2020-03-05
申请号:US16557859
申请日:2019-08-30
申请人: Seadronix Corp.
发明人: Byeol Teo PARK , Han Keun KIM , Dong Hoon KIM
摘要: A method for learning a neural network performed by a computing means wherein the neural network receives a marine image and outputs information about a type and a distance of at least one object included in the marine image is provided. The method comprises: obtaining a marine image including a sea and an obstacle; obtaining a labelling data generated based on the marine image; obtaining an output data by using a neural network, wherein the neural network receives the marine image and outputs the output data; calculating an error value by using the labelling data and the output data; and updating the neural network based on the error value; wherein the labelling data and the output data are determined by a combination of information about a type and a distance of an object.
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