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公开(公告)号:US11715304B2
公开(公告)日:2023-08-01
申请号:US17860962
申请日:2022-07-08
Applicant: Cisco Technology, Inc.
Inventor: Hugo Latapie , Enzo Fenoglio , David Delano Ward , Guillaume Sauvage De Saint Marc , Carole Gridley
CPC classification number: G06V20/52 , G06Q30/0625 , G06T7/11 , G06T7/20 , G06V20/46 , G06V40/10 , G08B5/22 , H04N7/181 , G06T2207/10016 , G06T2207/20084 , G06T2207/30232 , G06V2201/08
Abstract: In one embodiment, a video analysis service receives video data captured by one or more cameras at a particular location. The service applies a neural network-based model to portions of the video data, to identify objects within the video data. The service maps outputs of the neural network-based model to symbols using a conceptual space. The outputs of the model comprise the identified objects. The service applies a symbolic reasoning engine to the symbols, to generate an alert. The service sends the alert to a user interface in conjunction with the video data.
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公开(公告)号:US11386667B2
公开(公告)日:2022-07-12
申请号:US16708648
申请日:2019-12-10
Applicant: Cisco Technology, Inc.
Inventor: Hugo Latapie , Enzo Fenoglio , David Delano Ward , Guillaume Sauvage De Saint Marc , Carole Gridley
Abstract: In one embodiment, a video analysis service receives video data captured by one or more cameras at a particular location. The service applies a neural network-based model to portions of the video data, to identify objects within the video data. The service maps outputs of the neural network-based model to symbols using a conceptual space. The outputs of the model comprise the identified objects. The service applies a symbolic reasoning engine to the symbols, to generate an alert. The service sends the alert to a user interface in conjunction with the video data.
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公开(公告)号:US20210042532A1
公开(公告)日:2021-02-11
申请号:US16708648
申请日:2019-12-10
Applicant: Cisco Technology, Inc.
Inventor: Hugo Latapie , Enzo Fenoglio , David Delano Ward , Guillaume Sauvage De Saint Marc , Carole Gridley
Abstract: In one embodiment, a video analysis service receives video data captured by one or more cameras at a particular location. The service applies a neural network-based model to portions of the video data, to identify objects within the video data. The service maps outputs of the neural network-based model to symbols using a conceptual space. The outputs of the model comprise the identified objects. The service applies a symbolic reasoning engine to the symbols, to generate an alert. The service sends the alert to a user interface in conjunction with the video data.
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