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    REFERENCE IMAGE ENROLLMENT AND EVOLUTION FOR SECURITY SYSTEMS
    1.
    发明公开
    REFERENCE IMAGE ENROLLMENT AND EVOLUTION FOR SECURITY SYSTEMS 审中-公开

    公开(公告)号：US20240184868A1

    公开(公告)日：2024-06-06

    申请号：US18427370

    申请日：2024-01-30

    Applicant: INTELLIVISION TECHNOLOGIES CORP

    Inventor： Krishna Khadloya ,  Manuel Gonzalez

    IPC: G06F21/32 ,  G06F18/22 ,  G06N3/08 ,  G06V20/56 ,  G06V40/16

    CPC classification number: G06F21/32 ,  G06F18/22 ,  G06N3/08 ,  G06V20/56 ,  G06V40/172

    Abstract: Person or object authentication can be performed using artificial intelligence-enabled systems. Reference information, such as for use in comparisons or assessments for authentication, can be updated over time to accommodate changes in an individual's appearance, voice, or behavior. In an example, reference information can be updated automatically with test data, or reference information can be updated conditionally, based on instructions from a system administrator. Various types of media can be used for authentication, including image information, audio information, or biometric information. In an example, authentication can be performed wholly or partially at an edge device such as a security panel in an installed security system.

    MULTIPLE-FACTOR RECOGNITION AND VALIDATION FOR SECURITY SYSTEMS
    5.
    发明申请
    MULTIPLE-FACTOR RECOGNITION AND VALIDATION FOR SECURITY SYSTEMS 有权

    公开(公告)号：US20250014409A1

    公开(公告)日：2025-01-09

    申请号：US18735963

    申请日：2024-06-06

    Applicant: INTELLIVISION TECHNOLOGIES CORP

    Inventor： Krishna Khadloya ,  Manuel Gonzalez

    IPC: G07C9/37 ,  G06N3/063 ,  G06N3/08 ,  G06V40/16 ,  G06V40/20 ,  G08B21/22 ,  G08B27/00

    Abstract: A security system can conditionally grant or deny access to a protected area using an artificial intelligence system to analyze images. In an example, an access control method can include receiving candidate information about a face and gesture from a first individual and receiving other image information from or about a second individual. The candidate information can be analyzed using a neural network-based recognition processor that can provide a first recognition result indicating whether the first individual corresponds to a first enrollee of the security system, and can provide a second recognition result indicating whether the second individual corresponds to a second enrollee of the security system. The example method can include receiving a passcode, such as from the first individual. Access can be conditionally granted or denied based on the passcode and the recognition results.

    MULTIPLE-FACTOR RECOGNITION AND VALIDATION FOR SECURITY SYSTEMS
    6.
    发明公开
    MULTIPLE-FACTOR RECOGNITION AND VALIDATION FOR SECURITY SYSTEMS 审中-公开

    公开(公告)号：US20230351831A1

    公开(公告)日：2023-11-02

    申请号：US18197562

    申请日：2023-05-15

    Applicant: INTELLIVISION TECHNOLOGIES CORP

    Inventor： Krishna Khadloya ,  Manuel Gonzalez

    IPC: G07C9/37 ,  G06V40/16 ,  G06V40/20 ,  G06N3/063 ,  G06N3/08 ,  G08B21/22 ,  G08B27/00

    CPC classification number: G07C9/37 ,  G06V40/172 ,  G06V40/20 ,  G06N3/063 ,  G06N3/08 ,  G08B21/22 ,  G08B27/005

    Abstract: A security system can conditionally grant or deny access to a protected area using an artificial intelligence system to analyze images. In an example, an access control method can include receiving candidate information about a face and gesture from a first individual and receiving other image information from or about a second individual. The candidate information can be analyzed using a neural network-based recognition processor that can provide a first recognition result indicating whether the first individual corresponds to a first enrollee of the security system, and can provide a second recognition result indicating whether the second individual corresponds to a second enrollee of the security system. The example method can include receiving a passcode, such as from the first individual. Access can be conditionally granted or denied based on the passcode and the recognition results.

    AUDIO TYPE DETECTION
    7.
    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.

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