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    PERSON SEARCH SYSTEM BASED ON MULTIPLE DEEP LEARNING MODELS
    32.
    发明申请
    PERSON SEARCH SYSTEM BASED ON MULTIPLE DEEP LEARNING MODELS 审中-公开

    公开(公告)号：US20200311387A1

    公开(公告)日：2020-10-01

    申请号：US16808983

    申请日：2020-03-04

    Applicant: NEC Laboratories America, Inc.

    Inventor： Yi Yang ,  Giuseppe Coviello ,  Biplob Debnath ,  Srimat Chakradhar

    IPC: G06K9/00 ,  G06F16/9038

    Abstract: A computer-implemented method executed by at least one processor for person identification is presented. The method includes employing one or more cameras to receive a video stream including a plurality of frames to extract features therefrom, detecting, via an object detection model, objects within the plurality of frames, detecting, via a key point detection model, persons within the plurality of frames, detecting, via a color detection model, color of clothing worn by the persons, detecting, via a gender and age detection model, an age and a gender of the persons, establishing a spatial connection between the objects and the persons, storing the features in a feature database, each feature associated with a confidence value, and normalizing, via a ranking component, the confidence values of each of the features.

    Multibyte heterogeneous log preprocessing
    33.
    发明授权
    Multibyte heterogeneous log preprocessing 有权

    公开(公告)号：US10474642B2

    公开(公告)日：2019-11-12

    申请号：US15659131

    申请日：2017-07-25

    Applicant: NEC Laboratories America, Inc.

    Inventor： Jianwu Xu ,  Biplob Debnath ,  Hui Zhang ,  Guofei Jiang

    IPC: G06F17/00 ,  G06F16/178

    Abstract: Methods and systems for log management include pre-processing heterogeneous logs and performing a log management action on the pre-processed plurality of heterogeneous logs. Pre-processing the logs includes performing a fixed tokenization of the heterogeneous logs based on a predefined set of symbols, performing a flexible tokenization of the heterogeneous logs based on a user-defined set of rules, converting timestamps in the heterogeneous logs to a single target timestamp format, and performing structural log tokenization of the heterogeneous logs based on user-defined structural information.

    CONTENT-LEVEL ANOMALY DETECTOR FOR SYSTEMS WITH LIMITED MEMORY
    34.
    发明申请
    CONTENT-LEVEL ANOMALY DETECTOR FOR SYSTEMS WITH LIMITED MEMORY 审中-公开

    公开(公告)号：US20180349250A1

    公开(公告)日：2018-12-06

    申请号：US15970398

    申请日：2018-05-03

    Applicant: NEC Laboratories America, Inc.

    Inventor： Biplob Debnath ,  Hui Zhang ,  Erik Kruus

    IPC: G06F11/34 ,  G06F11/30 ,  G06F11/36

    CPC classification number: G06F11/3476 ,  G06F11/0781 ,  G06F11/3072 ,  G06F11/3082 ,  G06F11/3608

    Abstract: Systems and methods for implementing content-level anomaly detection for devices having limited memory are provided. At least one log content model is generated based on training log content of training logs obtained from one or more sources associated with the computer system. The at least one log content model is transformed into at least one modified log content model to limit memory usage. Anomaly detection is performed for testing log content of testing logs obtained from one or more sources associated with the computer system based on the at least one modified log content model. In response to the anomaly detection identifying one or more anomalies associated with the testing log content, the one or more anomalies are output.

    Automated anomaly detection service on heterogeneous log streams
    36.
    发明授权
    Automated anomaly detection service on heterogeneous log streams 有权

    公开(公告)号：US09928155B2

    公开(公告)日：2018-03-27

    申请号：US15352546

    申请日：2016-11-15

    Applicant: NEC Laboratories America, Inc.

    Inventor： Jianwu Xu ,  Biplob Debnath ,  Hui Zhang ,  Guofei Jiang ,  Nipun Arora

    IPC: G06F9/44 ,  G06F11/36 ,  G06F11/07

    CPC classification number: G06F11/3612 ,  G06F11/0706 ,  G06F11/0766 ,  G06F11/3636

    Abstract: Systems and methods are disclosed for handling log data from one or more applications, sensors or instruments by receiving heterogeneous logs from arbitrary/unknown systems or applications; generating regular expression patterns from the heterogeneous log sources using machine learning and extracting a log pattern therefrom; generating models and profiles from training logs based on different conditions and updating a global model database storing all models generated over time; tokenizing raw log messages from one or more applications, sensors or instruments running a production system; transforming incoming tokenized streams are into data-objects for anomaly detection and forwarding of log messages to various anomaly detectors; and generating an anomaly alert from the one or more applications, sensors or instruments running a production system.

    Free flow fever screening
    38.
    发明授权
    Free flow fever screening 有权

    公开(公告)号：US12201403B2

    公开(公告)日：2025-01-21

    申请号：US17325613

    申请日：2021-05-20

    Applicant: NEC Laboratories America, Inc.

    Inventor： Kunal Rao ,  Giuseppe Coviello ,  Min Feng ,  Biplob Debnath ,  Wang-pin Hsiung ,  Murugan Sankaradas ,  Srimat Chakradhar ,  Yi Yang ,  Oliver Po ,  Utsav Drolia

    IPC: A61B5/01 ,  A61B5/00

    Abstract: A method for free flow fever screening is presented. The method includes capturing a plurality of frames from thermal data streams and visual data streams related to a same scene to define thermal data frames and visual data frames, detecting and tracking a plurality of individuals moving in a free-flow setting within the visual data frames, and generating a tracking identification for each individual of the plurality of individuals present in a field-of-view of the one or more cameras across several frames of the plurality of frames. The method further includes fusing the thermal data frames and the visual data frames, measuring, by a fever-screener, a temperature of each individual of the plurality of individuals within and across the plurality of frames derived from the thermal data streams and the visual data streams, and generating a notification when a temperature of an individual exceeds a predetermined threshold temperature.

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