US 11,961,381 B2
Life safety device with machine learning based analytics
Ryan Nathanial Sandler, Santee, CA (US)
Assigned to The ADT Security Corporation, Boca Raton, FL (US)
Filed by The ADT Security Corporation, Boca Raton, FL (US)
Filed on Jun. 21, 2022, as Appl. No. 17/845,743.
Prior Publication US 2023/0410622 A1, Dec. 21, 2023
Int. Cl. G08B 17/117 (2006.01); G08B 29/18 (2006.01)
CPC G08B 17/117 (2013.01) [G08B 29/186 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A detector, comprising:
at least one sensor configured to detect airborne particulates at a premises;
processing circuitry in communication with the at least one sensor, the processing circuitry configured to:
determine at least one characteristic associated with the detected airborne particulates, the at least one characteristic associated with the detected airborne particulates comprises a composition of the detected airborne particulates;
compare the at least one characteristic associated with the detected airborne particulates to data associated with predefined characteristics of burned materials, the predefined characteristic of burned materials comprises at least one of a smoke composition or a soot composition;
detect, based at least on the comparison, a presence of a fire; and
determine, if the presence of the fire is detected, at least one characteristic of the fire based on the at least one characteristic associated with the detected airborne particulates and the comparison.