REFERENCE IMAGE ENROLLMENT AND EVOLUTION FOR SECURITY SYSTEMS

    公开(公告)号:US20240184868A1

    公开(公告)日:2024-06-06

    申请号:US18427370

    申请日:2024-01-30

    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.

    Enrollment System with Continuous Learning and Confirmation

    公开(公告)号:US20220292170A1

    公开(公告)日:2022-09-15

    申请号:US17200584

    申请日:2021-03-12

    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.

    Enrollment system with continuous learning and confirmation

    公开(公告)号:US11921831B2

    公开(公告)日:2024-03-05

    申请号:US17200584

    申请日:2021-03-12

    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

    公开(公告)号:US20250014409A1

    公开(公告)日:2025-01-09

    申请号:US18735963

    申请日:2024-06-06

    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

    公开(公告)号:US20230351831A1

    公开(公告)日:2023-11-02

    申请号:US18197562

    申请日:2023-05-15

    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

    公开(公告)号:US20220292902A1

    公开(公告)日:2022-09-15

    申请号:US17200611

    申请日:2021-03-12

    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.

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