US 12,348,903 B2
Asset tracking and notification processing
Sudip Rahman Khan, Decatur, GA (US); Matthew Robert Burris, Lawrenceville, GA (US); Christopher John Costello, Suwanee, GA (US); and Gregory Joseph Hartl, Atlanta, GA (US)
Assigned to NCR Atleos Corporation, Atlanta, GA (US)
Filed by NCR Atleos Corporation, Atlanta, GA (US)
Filed on Mar. 9, 2022, as Appl. No. 17/690,244.
Application 17/690,244 is a continuation of application No. 16/696,706, filed on Nov. 26, 2019, granted, now 11,328,565.
Prior Publication US 2022/0198893 A1, Jun. 23, 2022
Int. Cl. H04N 7/18 (2006.01); G06T 7/246 (2017.01); G06T 7/50 (2017.01); G06V 10/22 (2022.01); G06V 20/52 (2022.01); G06V 40/10 (2022.01); G06V 40/20 (2022.01); G08B 13/12 (2006.01); G08B 13/14 (2006.01); G08B 13/196 (2006.01); H04W 4/029 (2018.01)
CPC H04N 7/18 (2013.01) [G06T 7/246 (2017.01); G06T 7/50 (2017.01); G06V 10/22 (2022.01); G06V 20/52 (2022.01); G06V 40/10 (2022.01); G06V 40/103 (2022.01); G06V 40/107 (2022.01); G06V 40/20 (2022.01); G08B 13/126 (2013.01); G08B 13/1436 (2013.01); G08B 13/1463 (2013.01); G08B 13/196 (2013.01); G08B 13/19608 (2013.01); G08B 13/19645 (2013.01); G08B 13/1965 (2013.01); G08B 13/1966 (2013.01); G08B 13/19671 (2013.01); G08B 13/19691 (2013.01); G08B 13/19693 (2013.01); G08B 13/19695 (2013.01); H04W 4/029 (2018.02); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30196 (2013.01); G06T 2207/30232 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
obtaining a security policy and rules for an asset type of an asset selected from a plurality of asset types and a plurality of available assets, wherein the asset is located in a predefined location based at least on a video captured for the predefined location;
tracking and monitoring the asset within the predefined location in accordance with the security policy and the rules using sensor data from sensors situated in the predefined location and the video captured for the predefined location, wherein the tracking and monitoring include using a machine learning algorithm specifically trained to recognize the asset type based on unique visual features associated with the asset type that are not visible to a human eye; and
maintaining an audit log comprising events raised during the tracking and the monitoring for the asset and the predefined location;
wherein the events are logged in real time and include timestamps correlating to video frames captured;
wherein the audit log includes metadata indicating which specific policies were triggered and which specific actions were taken in response to the events;
wherein the tracking and monitoring further includes determining actions of individuals with respect to the asset and distances between the individuals and the asset at the predefined location based on the security policy.