US 12,003,858 B2
System and method for gunshot detection
Brian C. Fitzpatrick, New Orleans, LA (US); and Robert McGrath, Lisle, IL (US)
Assigned to AURIS, LLC, New Orleans, LA (US)
Filed by Auris, LLC, New Orleans, LA (US)
Filed on Oct. 13, 2023, as Appl. No. 18/380,134.
Application 18/380,134 is a continuation of application No. 17/965,648, filed on Oct. 13, 2022, granted, now 11,792,520.
Prior Publication US 2024/0129633 A1, Apr. 18, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G08B 13/196 (2006.01); G01S 5/22 (2006.01); G08B 13/16 (2006.01); H04N 7/18 (2006.01); H04N 23/695 (2023.01); H04R 1/40 (2006.01)
CPC H04N 23/695 (2023.01) [G01S 5/22 (2013.01); G08B 13/1672 (2013.01); G08B 13/1963 (2013.01); G08B 13/19697 (2013.01); H04N 7/183 (2013.01); H04R 1/406 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system, comprising:
one or more processors configured by machine readable instructions to:
receive a set of audio data from each of a plurality of microphones;
execute one or more sound detection machine learning models using each of the sets of audio data as input to determine whether the set of audio data corresponds to an actionable sound, each set of audio data comprising a plurality of sounds;
responsive to determining at least one set of audio data corresponds to the actionable sound, execute a time detection machine learning model using the at least one set of audio data as input to determine each instance and time of the actionable sound; and
responsive to determining each instance and time of the actionable sound,
determine a location of the actionable sound based on the time of each instance of the actionable sound in each of the at least one set of audio data.