Premises monitoring using acoustic models of premises

Patent metadata

Field	Value
Publication number	US-11941959-B2
Application number	US-202217986503-A
Country	US
Kind code	B2
Filing date	Nov 14, 2022
Priority date	Nov 11, 2021
Publication date	Mar 26, 2024
Grant date	Mar 26, 2024

Abstract

According to some embodiments, a control device for a premises security system that is configured to monitor a premises using a plurality of premises devices is provided. The control device is configured to obtain a plurality of acoustic samples for the premises, detect a sound anomaly in at least one of the plurality of acoustic samples, obtain a verification that the sound anomaly is expected, generate an acoustic model for the premises based at least on the plurality of acoustic samples and the verification that the sound anomaly is expected, receive data representing a detected sound during monitoring of the premises, compare the detected sound with the acoustic model for the premises to determine that the detected sound is unexpected, and initiate a premises security system alert based at least on the detected sound being unexpected.

First claim

What is claimed is:

1. A control device for a premises security system that is configured to monitor a premises using a plurality of premises devices, the control device comprising:
processing circuitry configured to:
generate a trained acoustic model for the premises by at least:
obtaining a plurality of acoustic samples recorded at the premises, at least one of the plurality of acoustic samples corresponding to a location stamp indicating a location in the premises where the acoustic sample was recorded during a time window;
detecting a sound anomaly in at least one of the plurality of acoustic samples;
obtaining a verification that the sound anomaly is expected; and
training an acoustic model based at least on the plurality of acoustic samples and the verification that the sound anomaly is expected;
the trained acoustic model being generated based at least on the location stamp associated with at least one of the plurality of acoustic samples;
receive data representing a detected sound during monitoring of the premises;
compare the detected sound with the trained acoustic model for the premises to determine that the detected sound is unexpected; and
initiate a premises security system alert based at least on the detected sound being unexpected.

2. The control device of claim 1 , wherein the plurality of acoustic samples are obtained during a training time window of one of:
at least one week;
at least one day; or
at least one month.

3. The control device of claim 1 , wherein each of the plurality of acoustic samples is associated with a respective sample time stamp indicating at least one of a day or sample period associated with the acoustic sample; and
the sound anomaly being associated with a detection time stamp indicating at least one of a day or time when the sound anomaly was detected.

4. The control device of claim 3 , wherein the processing circuitry is further configured to compare the detection time stamp and sample time stamp to determine whether the sound anomaly is expected or unexpected.

5. The control device of claim 1 , wherein the processing circuitry is further configured to:
cause transmission of at least one message to at least one user to prompt the at least one user to classify the sound anomaly as expected or unexpected;
receive a response to the at least one message indicating a classification of the at least one sound anomaly;
tag the sound anomaly with the classification; and
wherein the acoustic model is generated based at least on the classification.

6. The control device of claim 1 , wherein the sound anomaly is associated with at least one of:
a sound of running water;
a sound of door creak;
a sound of window creak;
a sound of at least one footstep;
a sound of a breaking window; or
a sound of a pet eating.

7. The control device of claim 1 , wherein at least one of the plurality of acoustic samples is obtained from at least one premises device at the premises, the at least one premises device comprising a sound detector for detecting sound.

8. The control device of claim 1 , wherein the processing circuitry is further configured to:
determine that the acoustic model for the premises indicates that a particular sound is expected in the premises;
determine that the particular sound has not been detected during monitoring of the premises; and
initiate an additional premises security system alert based at least on the particular sound not being detected during monitoring of the premises.

9. A method implemented by a control device for a premises security system that is configured to monitor a premises using a plurality of premises devices, the method comprising:
generating a trained acoustic model for the premises by at least:
obtaining a plurality of acoustic samples recorded at the premises, at least one of the plurality of acoustic samples corresponding to a location stamp indicating a location in the premises where the acoustic sample was recorded during a time window;
detecting a sound anomaly in at least one of the plurality of acoustic samples;
obtaining a verification that the sound anomaly is expected; and
training an acoustic model based at least on the plurality of acoustic samples and the verification that the sound anomaly is expected;
the trained acoustic model being generated based at least on the location stamp associated with at least one of the plurality of acoustic samples;
receiving data representing a detected sound during monitoring of the premises;
comparing the detected sound with the trained acoustic model for the premises to determine that the detected sound is unexpected; and
initiating a premises security system alert based at least on the detected sound being unexpected.

10. The method of claim 9 , wherein the plurality of acoustic samples are obtained during a training time window of one of:
at least one week;
at least one day; or
at least one month.

11. The method of claim 9 , wherein each of the plurality of acoustic samples is associated with a respective sample time stamp indicating at least one of a day or sample period associated with the acoustic sample; and
the sound anomaly being associated with a detection time stamp indicating at least one of a day or time when the sound anomaly was detected.

12. The method of claim 11 , further comprising comparing the detection time stamp and sample time stamp to determine whether the sound anomaly is expected or unexpected.

13. The method of claim 9 , further comprising:
cause transmission of at least one message to at least one user to prompt the at least one user to classify the sound anomaly as expected or unexpected;
receive a response to the at least one message indicating a classification of the at least one sound anomaly;
tag the sound anomaly with the classification; and
wherein the acoustic model is generated based at least on the classification.

14. The method of claim 9 , wherein the sound anomaly is associated with at least one of:
a sound of running water;
a sound of door creak;
a sound of window creak;
a sound of at least one footstep;
a sound of a breaking window; or
a sound of a pet eating.

15. The method of claim 9 , wherein at least one of the plurality of acoustic samples is obtained from at least one premises device at the premises, the at least one premises device comprising a sound detector for detecting sound.

16. The method of claim 9 , further comprising:
determining that the acoustic model for the premises indicates that a particular sound is expected in the premises;
determining that the particular sound has not been detected during monitoring of the premises; and
initiating an additional premises security system alert based at least on the particular sound not being detected during monitoring of the premises.

17. A control device for a premises security system that is configured to monitor a premises using a plurality of premises devices, the control device comprising:
processing circuitry configured to:
generate a trained acoustic model for the premises by at least:
obtaining a plurality of acoustic samples recorded at the premises, at least one of the plurality of acoustic samples corresponding to a location stamp indicating a location in the premises where the acoustic sample was recorded during a time window;
detecting a sound anomaly in at least one of the plurality of acoustic samples;
obtaining a verification that the sound anomaly is expected; and
training an acoustic model for the premises based at least on the plurality of acoustic samples

Assignees

• The Adt Security Corp

Inventors

• Reimer Mark
• Ward Shy

Classifications

• G08B13/1609 Primary

  using active vibration detection systems · CPC title

• G08B13/08

  by opening, e.g. of door, of window, of drawer, of shutter, of curtain, of blind · CPC title

• G08B13/1672 Primary

  using sonic detecting means, e.g. a microphone operating in the audio frequency range · CPC title

• G08B13/04

  by breaking of glass · CPC title