US 11,669,777 B2
Integrated machine learning audiovisual application for a defined subject
Edward R Silansky, Gainesville, VA (US); Brittani R George, Herndon, VA (US); and Wendy Messick Watson, Manhattan Beach, CA (US)
Assigned to ATHENE NOCTUA LLC, Bristow, VA (US)
Filed by ATHENE NOCTUA LLC, Bristow, VA (US)
Filed on Sep. 7, 2022, as Appl. No. 17/939,390.
Application 17/939,390 is a continuation of application No. 16/505,048, filed on Jul. 8, 2019, granted, now 11,461,698.
Claims priority of provisional application 62/695,463, filed on Jul. 9, 2018.
Prior Publication US 2022/0414546 A1, Dec. 29, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06N 20/00 (2019.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06F 18/214 (2023.01)
CPC G06N 20/00 (2019.01) [G06V 10/776 (2022.01); G06V 10/7753 (2022.01); G06F 18/2155 (2023.01)] 17 Claims
OG exemplary drawing
 
8. A system, comprising:
a memory; and
at least one processor coupled to the memory and configured to:
train an artificial intelligence (AI) engine for a topic using data from a data source, wherein the topic is associated with a first geolocation;
first receive a first set of predictive features for the topic from the trained AI engine;
transmit the first set of predictive features for the topic to a set of electronic devices;
second receive a first set of audiovisual content captured by the set of electronic devices based on the first set of predictive features for the topic;
trigger an intervention action based on a threshold number of predictive features of the first set of predictive features being present in audiovisual content in the first set of audiovisual content, wherein the audiovisual content in the first set of audiovisual content is captured by an electronic device in the set of electronic devices;
notify the electronic device in the set of electronic devices of the triggered intervention; and
retrain the AI engine based on the first set of audiovisual content.