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公开(公告)号：US10769531B2
公开(公告)日：2020-09-08
申请号：US15163833
申请日：2016-05-25
Applicant: CISCO TECHNOLOGY, INC.
Inventor： Hugo M. Latapie , Enzo Fenoglio , Santosh G. Pandey , Andre Surcouf
Abstract: Various systems and methods for counting people. For example, one method involves receiving input data at an analytics system that includes a neural network. The input data includes a representation of an environment, including representations of several people. The method also includes identifying the representations of the people in the representation of the environment. The method also includes updating an output value that indicates the number of people identified as being present in the environment.
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公开(公告)号：US10439947B2
公开(公告)日：2019-10-08
申请号：US15354759
申请日：2016-11-17
Applicant: CISCO TECHNOLOGY, INC.
Inventor： Joseph Friel , Hugo Latapie , Andre Surcouf , Enzo Fenoglio , Thierry Gruszka
IPC: H04L12/835 , H04L12/861 , H04L12/875 , H04N21/442 , H04N21/658 , H04N21/845
Abstract: According to one aspect, a method includes identifying at least a first chunk to be obtained, the at least first chunk including at least a first packet, and determining a deadline for the first chunk, the deadline being indicative of an amount of time before the first chunk is needed. The method also includes determining whether the deadline for the first chunk is relatively long, and de-prioritizing the first chunk with respect to obtaining the first chunk for queueing in a buffer when it is determined that the deadline for the first chunk is relatively long. Finally, the method includes obtaining the first chunk for queueing in the buffer, wherein obtaining the first chunk for queueing in the buffer includes obtaining the first chunk after obtaining a second chunk for queueing in the buffer, the second chunk having a shorter deadline than the deadline for the first chunk.
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公开(公告)号：US20190080178A1
公开(公告)日：2019-03-14
申请号：US15702061
申请日：2017-09-12
Applicant: Cisco Technology, Inc.
Inventor： Victor Tsekay To , Feng Jiang , Nham Van Le , Hugo Latapie , Enzo Fenoglio
IPC: G06K9/00
CPC classification number: G06K9/00778 , G06K3/02 , G06K9/00751 , G06K9/00771 , G06K9/3233
Abstract: In one embodiment, a device identifies, from image data captured by one or more cameras of a physical location, a focal point of interest and people located within the physical location. The device forms a set of nodes whereby a given node represents one or more of the identified people located within the physical location. The device represents a person queue as an ordered list of nodes from the set of nodes and adds a particular one of the set of nodes to the list based on the particular node being within a predefined distance to the focal point of interest. The device adds one or more nodes to the list based on the added node being within an angle and distance range trailing a forward direction associated with at least one node in the list. The device provides an indication of the person queue to an interface.
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公开(公告)号：US20190034799A1
公开(公告)日：2019-01-31
申请号：US16151783
申请日：2018-10-04
Applicant: Cisco Technology, Inc.
Inventor： Hugo Mike Latapie , Enzo Fenoglio , Joseph T. Friel , Andre Surcouf , Pascal Thubert
CPC classification number: G06N3/08 , G06K9/00771 , G06K9/6232 , G06K9/6273 , G06N3/0454 , G06N3/0472 , G06T7/246 , G06T2207/10004 , G06T2207/20084
Abstract: In one embodiment, a method includes receiving current data, the current data including time series data representing a plurality of time instances. The method includes storing at least a recent portion of the current data in a buffer. The method includes reducing the dimensionality of the current data to generate dimensionality-reduced data. The method includes generating a reconstruction error based on the dimensionality-reduced data and a plurality of neural network metrics. At least one of a size of the recent portion of the current data stored in the buffer or an amount of the reducing the dimensionality of the current data is based on the reconstruction error.
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公开(公告)号：US10178131B2
公开(公告)日：2019-01-08
申请号：US15412386
申请日：2017-01-23
Applicant: Cisco Technology, Inc.
Inventor： Plamen Nedeltchev , Hugo Latapie , Enzo Fenoglio , Manikandan Kesavan , Deon J. Chatterton
Abstract: In one embodiment, a device in a network identifies a set of network entities. The device determines characteristics of the network entities. The device assigns each of the set of network entities to one or more hyperedges of a hypergraph based on the characteristics. The device applies a security policy to a particular one of the network entities based on the one or more hyperedges of the hypergraph to which the particular network entity is assigned.
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Patent Agency Ranking
公开(公告)号：US20180212996A1
公开(公告)日：2018-07-26
申请号：US15412386
申请日：2017-01-23
Applicant: Cisco Technology, Inc.
Inventor： Plamen Nedeltchev , Hugo Latapie , Enzo Fenoglio , Manikandan Kesavan , Deon J. Chatterton
Abstract: In one embodiment, a device in a network identifies a set of network entities. The device determines characteristics of the network entities. The device assigns each of the set of network entities to one or more hyperedges of a hypergraph based on the characteristics. The device applies a security policy to a particular one of the network entities based on the one or more hyperedges of the hypergraph to which the particular network entity is assigned.
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公开(公告)号：US09998805B2
公开(公告)日：2018-06-12
申请号：US15660882
申请日：2017-07-26
Applicant: Cisco Technology, Inc.
Inventor： Joseph Friel , Hugo Latapie , Andre Surcouf , Enzo Fenoglio
Abstract: Disclosed are systems, methods, and computer-readable storage media for adaptive telemetry based on in-network cross domain intelligence. A telemetry server can receive at least a first telemetry data stream and a second telemetry data stream. The first telemetry data stream can provide data collected from a first data source and the second telemetry data stream can provide data collected from a second data source. The telemetry server can determine correlations between the first telemetry data stream and the second telemetry data stream that indicate redundancies between data included in the first telemetry data stream and the second telemetry data stream, and then adjust, based on the correlations between the first telemetry data stream and the second telemetry data stream, data collection of the second telemetry data stream to reduce redundant data included in the first telemetry data stream and the second telemetry data stream.
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公开(公告)号：US20160358074A1
公开(公告)日：2016-12-08
申请号：US15163833
申请日：2016-05-25
Applicant: CISCO TECHNOLOGY, INC.
Inventor： Hugo M. Latapie , Enzo Fenoglio , Santosh G. Pandey , Andre Surcouf
CPC classification number: G06N3/088 , G06N3/0454
Abstract: Various systems and methods for counting people. For example, one method involves receiving input data at an analytics system that includes a neural network. The input data includes a representation of an environment, including representations of several people. The method also includes identifying the representations of the people in the representation of the environment. The method also includes updating an output value that indicates the number of people identified as being present in the environment.
Abstract translation: 各种系统和方法来计数人。 例如，一种方法涉及在包括神经网络的分析系统处接收输入数据。 输入数据包括环境的表示，包括几个人的表示。 该方法还包括识别人们在环境表现中的表示。 该方法还包括更新指示被识别为存在于环境中的人数的输出值。
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公开(公告)号：US11722359B2
公开(公告)日：2023-08-08
申请号：US17479297
申请日：2021-09-20
Applicant: Cisco Technology, Inc.
Inventor： Enzo Fenoglio , David John Zacks , Zizhen Gao , Carlos M. Pignataro , Dmitry Goloubev
IPC: H04L29/08 , H04L41/0631 , H04L43/04 , H04L41/16 , G06F18/214
CPC classification number: H04L41/064 , G06F18/214 , H04L41/16 , H04L43/04
Abstract: A method, computer system, and computer program product are provided for detecting drift in predictive models for network devices and traffic. A plurality of streams of time-series telemetry data are obtained, the time-series telemetry data generated by network devices of a data network. The plurality of streams are analyzed to identify a subset of streams, wherein each stream of the subset of streams includes telemetry data that is substantially empirically distributed. The subset of streams of time-series data are analyzed to identify a change point. In response to identifying the change point, additional time-series data is obtained from one or more streams of the plurality of streams of time-series telemetry data. A predictive model is trained using the additional time-series data to update the predictive model and provide a trained predictive model.
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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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