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    System and method for scalable cloud services
    2.
    发明授权
    System and method for scalable cloud services 有权

    公开(公告)号：US10142381B2

    公开(公告)日：2018-11-27

    申请号：US15463516

    申请日：2017-03-20

    Applicant: Intellivision technologies Corp.

    Inventor： Vaidhi Nathan ,  Krishna Khadloya ,  Albert Kay ,  Prakash Narayan

    IPC: H04L29/08 ,  H04L29/06 ,  H04N5/232 ,  H04N7/18 ,  G08B13/196 ,  H04L29/14

    Abstract: The invention is based, in part, on a system for allowing at least one client to real-time monitor and, or playback at least one real-world recognized event via at least one processor-controlled video camera, said system comprising: a processor; a non-transitory storage medium coupled to the processor; encoded instructions stored in the non-transitory storage medium, which when executed by the processor, cause the processor to: detect a threshold-grade event from audio-video data of a real-world environment captured from a processor-controlled video camera by an event detection module within an event management system applying event detection parameters; analyze the threshold-grade event for categorization into any one of a recognized event by an event recognition module within the event management system applying event recognition parameters; transmit at least any one of a single stream of the recognized event and, or a single stream of a audio-video sequence succeeding and, or preceding the recognized event to a client device; and facilitate at least any one of a user defined playback of the single stream of the recognized event, user defined monitoring of the audio-video sequence preceding and, or succeeding the recognized event, and, or remote provisioning of the processor-controlled video camera, whereby the playback and, or provisioning is facilitated via a client device user interface.

    AUDIO TYPE DETECTION
    3.
    发明申请
    AUDIO TYPE DETECTION 有权

    公开(公告)号：US20210210074A1

    公开(公告)日：2021-07-08

    申请号：US17203269

    申请日：2021-03-16

    Applicant: INTELLIVISION TECHNOLOGIES CORP.

    Inventor： Krishna Khadloya ,  Chandan Gope ,  Vaidhi Nathan

    IPC: G10L15/16 ,  G06N3/08 ,  G06N3/04 ,  G06F9/54 ,  G06N20/10 ,  G10L25/21 ,  G10L25/18 ,  G06N20/20

    Abstract: Artificial intelligence-based processing can be used to classify audio information received from an audio input unit. In an example, audio information can be received from a microphone configured to monitor an environment. A processor circuit can identify identifying one or more features of the audio information received from the microphone and use a first applied machine learning algorithm to analyze the one or more features and determine whether the audio information includes an indication of an abnormal event in the environment. In an example, the processor circuit can use a different second applied machine learning algorithm, such as a neural network-based deep learning algorithm, to analyze the same one or more features and classify the audio information as including an indication of a particular event type in the environment.

    METHOD OF TRACKING MOVEABLE OBJECTS BY COMBINING DATA OBTAINED FROM MULTIPLE SENSOR TYPES
    6.
    发明申请
    METHOD OF TRACKING MOVEABLE OBJECTS BY COMBINING DATA OBTAINED FROM MULTIPLE SENSOR TYPES 有权
    通过组合从多个传感器类型获得的数据跟踪移动物体的方法

    公开(公告)号：US20140379296A1

    公开(公告)日：2014-12-25

    申请号：US14311269

    申请日：2014-06-21

    Applicant: Intellivision Technologies Corp.

    Inventor： Vaidhi Nathan ,  Chandan Gope ,  Lev Afraimovich ,  Sergey Soprykin ,  Roman Kholodov Valerievich

    IPC: G01B21/00 ,  G06F17/18

    CPC classification number: G01B21/00 ,  G06F17/18 ,  G06K9/00771 ,  G06K9/6293 ,  G06K2017/0045 ,  G06Q10/08

    Abstract: Method of tracking moveable objects (typically tagged objects that are moved by actors e.g. people, vehicles) by combining and analyzing data obtained from multiple types of sensors, such as video cameras, RFID tag readers, GPS sensors, and WiFi transceivers. Objects may be tagged by RFID tags, NFC tags, bar codes, or even tagged by visual appearance. The system operates in near real-time, and compensates for errors in sensor readings and missing sensor data by modeling object and actor movement according to a plurality of possible paths, weighting data from some sensors higher than others according to estimates of sensor accuracy, and weighing the probability of certain paths according to various other rules and penalty cost parameters. The system can maintain a comprehensive database which can be queried as to which actors associate with which objects, and vice versa. Other data pertaining to object location and association can also be obtained.

    Abstract translation: 通过组合和分析从诸如摄像机，RFID标签读取器，GPS传感器和WiFi收发器的多种类型的传感器获得的数据来跟踪可移动对象（通常由演员例如人，车辆移动的标签对象）的方法。 对象可能被RFID标签，NFC标签，条形码标记，甚至可以通过视觉外观标记。 该系统近乎实时操作，通过根据多个可能的路径建模对象和演员移动来补偿传感器读数误差和传感器数据丢失，根据传感器精度的估计，来自某些传感器的数据加权比其他传感器更高;以及 根据各种其他规则和罚款成本参数权衡某些路径的概率。 该系统可以维护一个全面的数据库，可以查询与哪些对象相关联的哪个对象，反之亦然。 还可以获得与对象位置和关联有关的其他数据。

    Human presence detection in edge devices
    7.
    发明授权
    Human presence detection in edge devices 有权

    公开(公告)号：US11295139B2

    公开(公告)日：2022-04-05

    申请号：US16279512

    申请日：2019-02-19

    Applicant: INTELLIVISION TECHNOLOGIES CORP.

    Inventor： Krishna Khadloya ,  Maxim Sokolov ,  Vaidhi Nathan ,  Chandan Gope

    IPC: G06K9/00 ,  G08B13/196 ,  G06T7/246 ,  G06T7/215

    Abstract: A system and method for detecting human presence in or absence from a field-of-view of a camera by analyzing camera data using a processor inside of or adjacent to the camera itself. In an example, the camera can be integrated with or embedded in another edge-based sensor device. In an example, a video signal processing system receives image data from one or more image sensors and uses a local processing circuit to process the image data and determine if a human being is or is not present during a particular time, interval, or sequence of frames. In an example, the human being identification technique can be used in security or surveillance applications such as for home, business, or other monitoring cameras.

    Audio type detection
    8.
    发明授权
    Audio type detection 有权

    公开(公告)号：US10978050B2

    公开(公告)日：2021-04-13

    申请号：US16280806

    申请日：2019-02-20

    Applicant: INTELLIVISION TECHNOLOGIES CORP.

    Inventor： Krishna Khadloya ,  Chandan Gope ,  Vaidhi Nathan

    IPC: G10L15/16 ,  G10L25/21 ,  G10L25/18 ,  G06N3/08 ,  G06N3/04 ,  G06F9/54 ,  G06N20/10 ,  G06N20/20

    Abstract: Artificial intelligence-based processing can be used to classify audio information received from an audio input unit. In an example, audio information can be received from a microphone configured to monitor an environment. A processor circuit can identify identifying one or more features of the audio information received from the microphone and use a first applied machine learning algorithm to analyze the one or more features and determine whether the audio information includes an indication of an abnormal event in the environment. In an example, the processor circuit can use a different second applied machine learning algorithm, such as a neural network-based deep learning algorithm, to analyze the same one or more features and classify the audio information as including an indication of a particular event type in the environment.

    System and Method for Scalable Cloud Services
    9.
    发明申请
    System and Method for Scalable Cloud Services 审中-公开

    公开(公告)号：US20170195386A1

    公开(公告)日：2017-07-06

    申请号：US15463516

    申请日：2017-03-20

    Applicant: Intellivision technologies Corp.

    Inventor： Vaidhi Nathan ,  Krishna Khadloya ,  Albert Kay ,  Prakash Narayan

    IPC: H04L29/06 ,  G08B13/196 ,  H04L29/08

    CPC classification number: H04L65/4084 ,  G08B13/19613 ,  H04L63/029 ,  H04L63/08 ,  H04L65/608 ,  H04L67/02 ,  H04L67/025 ,  H04L67/04 ,  H04L67/10 ,  H04L67/104 ,  H04L67/1097 ,  H04L67/12 ,  H04L67/20 ,  H04L67/28 ,  H04L67/42 ,  H04L69/40 ,  H04N5/23206 ,  H04N5/23225 ,  H04N7/181

    Abstract: The invention is based, in part, on a system for allowing at least one client to real-time monitor and, or playback at least one real-world recognized event via at least one processor-controlled video camera, said system comprising: a processor; a non-transitory storage medium coupled to the processor; encoded instructions stored in the non-transitory storage medium, which when executed by the processor, cause the processor to: detect a threshold-grade event from audio-video data of a real-world environment captured from a processor-controlled video camera by an event detection module within an event management system applying event detection parameters; analyze the threshold-grade event for categorization into any one of a recognized event by an event recognition module within the event management system applying event recognition parameters; transmit at least any one of a single stream of the recognized event and, or a single stream of a audio-video sequence succeeding and, or preceding the recognized event to a client device; and facilitate at least any one of a user defined playback of the single stream of the recognized event, user defined monitoring of the audio-video sequence preceding and, or succeeding the recognized event, and, or remote provisioning of the processor-controlled video camera, whereby the playback and, or provisioning is facilitated via a client device user interface.

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