US 11,735,017 B2
Artificial intelligence (AI)-based security systems for monitoring and securing physical locations
George Anthony Albero, Charlotte, NC (US); Nathalie Elizabeth Conley, Jacksonville, FL (US); Elizabeth Jordan Knight, Clover, SC (US); Lauren Thanh Nguyen-Lo, Houston, TX (US); and Robert Jon Armstrong, Charlotte, NC (US)
Assigned to Bank of America Corporation, Charlotte, NC (US)
Filed by Bank of America Corporation, Charlotte, NC (US)
Filed on Jun. 23, 2021, as Appl. No. 17/356,032.
Prior Publication US 2022/0415146 A1, Dec. 29, 2022
Int. Cl. G08B 13/196 (2006.01); G08B 13/16 (2006.01); G06N 3/02 (2006.01); G06N 20/10 (2019.01); G06F 18/23 (2023.01)
CPC G08B 13/19613 (2013.01) [G06F 18/23 (2023.01); G06N 3/02 (2013.01); G06N 20/10 (2019.01); G08B 13/1609 (2013.01)] 20 Claims
OG exemplary drawing
 
1. An artificial intelligence (AI)-based system for monitoring and securing a retail banking physical location based on millimeter wave scanner measurements, the system comprising:
a millimeter wave scanner configured to scan individuals, at the physical location, for detecting concealed objects;
one or more actuators located at the physical location;
an electronic monitoring platform communicatively coupled to the millimeter wave scanner and the one or more actuators, 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 the 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 concealed objects associated with the individual is anomalous; and
based on the determining:
send, via the communication interface, one or more notifications to the one or more actuators, wherein at least one actuator of the one or more actuators is associated with a shutter at a teller window in the physical location, and wherein the actuator causes the shutter to activate based on receiving a notification; and
send, via the communication interface and to a computing device,
an alert notification.