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US 12,118,085 B2Granted
Systems and methods for machine learning enhanced intelligent building access endpoint security monitoring and management
AssigneeAmbient AI, Inc.
InventorsShikhar Shrestha, Vikesh Khanna, James Douglas Connor
Life of this patent
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Abstract
Systems and methods for correlating access-system primitives generated by an access control system and semantic primitives generated by a sensor data comprehension system.
Claims19
A method, comprising:
- determining a set of access primitives based on a first set of signals from an access point state sensor;
- determining a set of authorization primitives based on a second set of signals from a security credentialing system;
- determining a set of semantic primitives based on a third set of signals from a camera system;
- determining a correlation between the set of access primitives, the set of semantic primitives, and the set of authorization primitives;
- determining a context classification based on the correlation;
- and
- based on the correlation, determining a security risk associated with the context classification.
4 more elements
A system, comprising:
- a processing system configured to:
- determine a set of access primitives based on a first set of access signals from a sensor at an electronic access system;
- determine a set of authorization primitives based on a second set of signals from a security credentialing system;
- determine a set of semantic primitives based on a third set of signals from a camera system;
- determine a correlation between the set of access primitives, the set of authorization primitives, and the set of semantic primitives;
- determine a context classification based on the correlation;
- and
- based on the correlation, determine a security risk associated with the context classification.
5 more elements
A method, comprising:
- determining a set of access primitives based on a first set of signals from an electronic access system;
- determining a set of semantic primitives based on a second set of signals from a camera system, wherein the semantic primitives identify a tailgater accessing an access point;
- determining a correlation between the set of access primitives and the set of semantic primitives;
- determining a context classification based on the correlation;
- and
- based on the correlation, determining a security risk associated with the context classification, wherein the security risk comprises tailgating.
3 more elements
Dependencies are inferred from the claim text.