US 12,236,780 B2
Systems and methods for electronic signature tracking and analysis
Todd Child, Greensboro, NC (US)
Assigned to Leonardo US Cyber and Security Solutions, LLC, Greensboro, NC (US)
Filed by Selex ES Inc., Greensboro, NC (US)
Filed on Sep. 8, 2022, as Appl. No. 17/940,368.
Claims priority of provisional application 63/242,145, filed on Sep. 9, 2021.
Prior Publication US 2023/0070108 A1, Mar. 9, 2023
Int. Cl. G08G 1/017 (2006.01); G06N 7/01 (2023.01); G08G 1/04 (2006.01)
CPC G08G 1/017 (2013.01) [G06N 7/01 (2023.01); G08G 1/04 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A surveillance system configured to provide statistical event analysis of alarms and events, the system comprising:
a plurality of collection assemblies configured to capture information related to visual identifiers, electronic signatures, or a combination thereof, that are associated with one or more targets in one or more selected areas;
a user interface configured to enable a user to select a time period for analysis or detection of a presence of one or more selected events, and one or more parameters relating to the one or more selected events, including a violation type, one or more known targets, a vehicle or group of vehicles, one or more alarm classes, one or more selected areas, or a combination thereof, during the selected time period; and
an intelligence system comprising:
an intelligence database configured to store the captured visual identifiers, the electronic signature, and collected event data including received alarms indicative of different violation types; and
a classification and search engine configured to:
sort the collected event data into the one or more alarm classes,
using the captured information, determine a certainty of an association between one or more of the electronic signatures with one of the visual identifiers based on a frequency or consistency of the electronic signatures and the visual identifiers, and identify and associate one or more of the visual identifiers, electronic signatures, or combinations thereof, with one or more targets, and
in response to a user selection of the time period and the one or more parameters relating to the one or more selected events, develop an event analysis indicating a distribution of the one or more selected events during the selected time period, and develop a forecast of a frequency of occurrence of the one or more selected events, during the selected time period; and
using the event analysis, correlate captures of visual identifiers, electronic signatures of at least one target of the one or more targets with the one or more selected events.