US 11,776,387 B2
Systems and methods for building and using a false alarm predicting model to determine whether to alert a user and/or relevant authorities about an alarm signal from a security system
Brian Beale, Woodbury, MN (US); Sharath Venkatesha, Minnetonka, MN (US); Soumitri Kolavennu, Blaine, MN (US); and Nathaniel Kraft, Minnetonka, MN (US)
Assigned to Ademco Inc., Golden Valley, MN (US)
Filed by Ademco Inc., Golden Valley, MN (US)
Filed on Feb. 17, 2022, as Appl. No. 17/674,271.
Application 17/674,271 is a continuation of application No. 16/942,709, filed on Jul. 29, 2020, granted, now 11,282,374.
Application 16/942,709 is a continuation of application No. 16/543,786, filed on Aug. 19, 2019, granted, now 10,762,773, issued on Sep. 1, 2020.
Prior Publication US 2022/0172602 A1, Jun. 2, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G08B 29/00 (2006.01); G08B 29/18 (2006.01); G08B 25/00 (2006.01); G08B 23/00 (2006.01); G08B 29/02 (2006.01); G08B 29/26 (2006.01)
CPC G08B 29/188 (2013.01) [G08B 23/00 (2013.01); G08B 25/001 (2013.01); G08B 29/02 (2013.01); G08B 29/26 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
a learning module receiving an alarm signal and additional information associated with the alarm signal;
the learning module using a false alarm predicting model to process a combination of the alarm signal and the additional information to determine whether the combination represents a false alarm or a valid alarm; and
the learning module using the determination as to whether the combination represents the false alarm or the valid alarm to update the false alarm predicting model for increased accuracy at future times.