Artificial intelligence (AI)-based security systems for monitoring and securing physical locations
AssigneeBank of America Corporation
InventorsGeorge Anthony Albero, Nathalie Elizabeth Conley, Elizabeth Jordan Knight, Lauren Thanh Nguyen-Lo, Robert Jon Armstrong
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Abstract
Various aspects of the disclosure relate to monitoring a physical location to determine and/or predict anomalous activities. One or more machine learning algorithms may be used to analyze inputs from one or more sensors, cameras, audio recording equipment, and/or any other types of sensors to detect anomalous measurements/patterns. Notifications may be sent one or more devices in a network based on the detection.
Claims20
An electronic monitoring platform communicatively coupled to a millimeter wave scanner, the electronic monitoring platform comprising:
- at least one processor;
- a communication interface communicatively coupled to the at least one processor;
- and
- memory storing computer-readable instructions that, when executed by the at least one processor, cause the electronic monitoring platform to:
- receive, via the communication interface from the millimeter wave scanner, measurements corresponding to concealed objects associated with a plurality of individuals at a physical location;
- perform cluster analysis on the measurements to determine groups of normal measurements corresponding to the concealed objects associated with the plurality of individuals;
- receive, from the millimeter wave scanner and for an individual at the physical location, a measurement corresponding to concealed objects associated with the individual;
- determine, based on the groups of normal measurements, that the measurement corresponding to the concealed objects associated with the individual is anomalous;
- and
- based on the determining that the measurement corresponding to the concealed objects associated with the individual is anomalous, send one or more notifications to one or more security devices.
A method comprising:
- receiving, at an electronic monitoring platform and from a millimeter wave scanner, measurements corresponding to concealed objects associated with a plurality of individuals at a physical location;
- performing cluster analysis on the measurements to determine groups of normal measurements corresponding to the concealed objects associated with the plurality of individuals;
- receiving, from the millimeter wave scanner and for an individual at the physical location, a measurement corresponding to concealed objects associated with the individual;
- determining, based on the groups of normal measurements, that the measurement corresponding to the concealed objects associated with the individual is anomalous;
- and
- based on the determining that the measurement corresponding to the concealed objects associated with the individual is anomalous, sending one or more notifications to one or more security devices.
A non-transitory computer-readable medium storing computer-readable instructions that, when executed by a computer processor, causes a computing platform to:
- receive, from a millimeter wave scanner, measurements corresponding to concealed objects associated with a plurality of individuals at a physical location;
- perform cluster analysis on the measurements to determine groups of normal measurements corresponding to the concealed objects associated with the plurality of individuals;
- receive, from the millimeter wave scanner and for an individual at the physical location, a measurement corresponding to concealed objects associated with the individual;
- determine, based on the groups of normal measurements, that the measurement corresponding to the concealed objects associated with the individual is anomalous;
- and
- based on the determining that the measurement corresponding to the concealed objects associated with the individual is anomalous, send one or more notifications to one or more security devices.
Dependencies are inferred from the claim text.