IP Library Granted Patent US 12,482,342
Granted Patent B2
US 12,482,342 · App. 18/747,194 · Granted Nov 25, 2025

System and method for generating an alert based on noise

Inventors: Andrew Schulz (Dallas, TX); David Krauss (Dallas, TX)
Assignee: NoiseAware Inc.
G08B21/182G08B23/00H04R29/00G08B25/006H04R3/00H04R2410/00
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,482,342
App. No.
18/747,194
Granted
Nov 25, 2025
Kind
B2
Abstract

The disclosure relates to using anonymized audio data for monitoring properties. Disclosed herein are monitoring systems for properties and a method of monitoring properties. One example of a method of monitoring a property includes: (1) deriving at least one raw signal from noise proximate one or more noise detectors at the property, (2) generating a noise score from the at least one raw signal, the noise score being insufficient to reproduce a content of the raw signal, and (3) generating, based on the noise score and at least one or more other factors, a value representing a risk of damage to the property, wherein the one or more other factors include environmental data from at least one smoke sensor at the property.

Claims (29)

1 . A method of monitoring a property, comprising:

deriving at least one raw signal from noise proximate one or more noise detectors at the property;

generating a noise score from the at least one raw signal based on a number of times an amplitude of said raw signal exceeds a threshold amplitude during a given period of time, the noise score being insufficient to reproduce a content of the raw signal; and

generating, based on the noise score and at least one or more other factors, a value representing a risk of damage to the property, wherein the one or more other factors include environmental data from at least one smoke sensor at the property.

2 . The method as recited in claim 1 , further comprising estimating the occupancy of the property using the one or more noise detectors, wherein the one or more other factors further include the occupancy.

3 . The method as recited in claim 2 , wherein estimating the occupancy includes detecting a number of wireless devices for the location using the one or more noise detectors.

4 . The method as recited in claim 1 , wherein the one or more other factors further include weather data for the property.

5 . The method as recited in claim 1 , wherein the one or more other factors further include property characteristics.

6 . The method as recited in claim 1 , further comprising characterizing a basis of the risk of damage to the property using the noise score.

7 . The method as recited in claim 1 , wherein the one or more other factors include at least two of the expected occupancy at the property, the reservation data for the property, weather data for the property, an estimated occupancy at the property, and property characteristics.

8 . The method as recited in claim 7 , wherein the one or more other factors further include a noise score from an additional one of the one or more noise detectors at the property.

9 . The method as recited in claim 7 , further comprising characterizing a basis of the risk of damage to the property considering the noise score and the at least two other factors.

10 . The method as recited in claim 1 , wherein the property includes a hotel and the one or more noise detectors and the at least one smoke sensor are located with the hotel.

11 . The method as recited in claim 1 , wherein the property includes a multi-unit dwelling and the one or more noise detectors and the at least one smoke sensor are located with the multi-unit dwelling.

12 . A monitoring system for a property, comprising:

multiple noise detectors located with a building of the property, wherein each of the multiple noise detectors derive a raw signal from noise proximate thereof;

at least one smoke detector; and

a processor configured to generate a noise score for each of the multiple noise detectors using the associated raw signal based on a number of times an amplitude of the associated raw signal exceeds a threshold amplitude during a given period of time, and, based on the noise scores and at least one or more other factors, a value representing a risk of damage to the building, wherein the other factors include environmental data from the smoke sensor.

13 . The monitoring system as recited in claim 12 , wherein the building is a multi-unit dwelling or hotel.

14 . The monitoring system as recited in claim 12 , wherein the factors further include weather data for the property.

15 . The monitoring system as recited in claim 12 , wherein the factors further include characteristics on the building.

16 . The monitoring system as recited in claim 12 , wherein the factors further include an occupancy of the building based on detection of a number of wireless devices.

17 . The monitoring system as recited in claim 12 , wherein the processor is further configured to characterize a basis of the risk of damage to the building using the noise score.

18 . The monitoring system as recited in claim 12 , wherein one or more of the multiple noise detectors are located within the building.

19 . A method of monitoring a property, comprising:

deriving at least one raw signal from noise proximate one or more noise detectors at the property;

generating a noise score from the at least one raw signal based on a number of times an amplitude of said raw signal exceeds a threshold amplitude during a given period of time, the noise score being insufficient to reproduce a content of the raw signal; and

identifying a level of risk of damage to the property using the noise score and environmental data from at least one smoke sensor at the property.

20 . The method of monitoring as recited in claim 19 , wherein the identifying further includes using an occupancy of the property based on detection of a number of wireless devices.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 18, 2024
From: SCHULZ, ANDREW; KRAUSS, DAVID
To: NOISEAWARE INC.
Reel/Frame 067763/0292 →
Continuity (8)
Continuation 18338106 · Jun 20, 2023
Continuation 17217860 · Mar 30, 2021
Continuation 16559462 · Sep 3, 2019
Continuation 15968486 · May 1, 2018
Continuation 15342734 · Nov 3, 2016
Provisional Application 62331183 · May 3, 2016
Provisional Application 62250340 · Nov 3, 2015
Related Publication 20240339023A1 · Oct 10, 2024
References Cited (15)
US 9182751B1 · Reeder · 2015 [cited by examiner]
US 9936357B2 · Mills · 2018 [cited by examiner]
US 20100142715A1 · Goldstein et al. · 2010 [cited by applicant]
US 20150022351A1 · Gettings · 2015 [cited by examiner]
US 20150278690A1 · Bialk · 2015 [cited by examiner]
US 20150347079A1 · Price et al. · 2015 [cited by applicant]
US 20160163168A1 · Brav et al. · 2016 [cited by applicant]
US 20160173049A1 · Mehta · 2016 [cited by applicant]
US 20160178392A1 · Goldfain · 2016 [cited by applicant]
US 20160203699A1 · Mulhern · 2016 [cited by examiner]
US 20160277863A1 · Cahill · 2016 [cited by examiner]
US 20160286327A1 · Marten · 2016 [cited by applicant]
US 20160367190A1 · Vaitaitis · 2016 [cited by applicant]
US 20170124847A1 · Schulz et al. · 2017 [cited by applicant]
US 20170125034A1 · Kakadiaris et al. · 2017 [cited by applicant]