Learned overrides for home security

Patent metadata

Field	Value
Publication number	US-9520049-B2
Application number	US-201414585469-A
Country	US
Kind code	B2
Filing date	Dec 30, 2014
Priority date	Dec 30, 2014
Publication date	Dec 13, 2016
Grant date	Dec 13, 2016

Abstract

Systems and techniques are provided for learned overrides for home security. A sensor of a security system may be armed. A trip signal may be received indicating a tripping of the sensor. It may be determined that the trip signal can be automatically overridden based on matching an identity of the sensor and a state of the security system with a pattern in a model. The pattern may represent a state of the security system in which automatically overriding the trip signal from the sensor is permitted. The trip signal from the sensor may be automatically overridden without input from a user.

First claim

The invention claimed is:

1. A computer-implemented method performed by a data processing apparatus, the method comprising:
arming a sensor of a security system;
receiving a trip signal indicating a tripping of the sensor;
determining if the trip signal can be automatically overridden, wherein the determining is based on matching an identity of the sensor and a state of the security system with at least one pattern in a model, and the at least one pattern represents a state of the security system in which automatically overriding the trip signal from the sensor is permitted;
automatically overriding the trip signal from the sensor when permitted;
sending, when an automatic override of the trip signal is not permitted, an override request to a computing device accessible to a user of the security system;
receiving a response to the override request indicating the trip signal is to be overridden; and
after receiving at least a set number of override responses, updating the model to automatically override the trip signal.

2. The computer-implemented method of claim 1 , further comprising:
receiving a trip signal indicating a tripping of a second sensor;
determining the trip signal from the second sensor cannot be automatically overridden, wherein the determining is based on either:
matching an identity of the second sensor and the state of the security system with at least one other pattern in the model, wherein the at least one other pattern represents a state of the security system in which automatically overriding the trip signal from the sensor is not permitted, or
not matching the identity of the second sensor and the state of the security system with any pattern in the model; and

displaying an override request on at least one computing device associated with a user of the security system.

3. The computer-implemented method of claim 2 , wherein the at least one computing device is a hub computing device of the security system or a personal computing device of the user.

4. The computer-implemented method of claim 2 , further comprising:
overriding the trip signal from the sensor; and
wherein the updating the model comprises either:
adding a new pattern to the model, wherein the new pattern comprises at least the identity of the sensor, the state of the security system, and the response to the override request, or
updating at least one other pattern with the response to the override request.

5. The computer-implemented method of claim 4 , wherein the updating the model includes updating the least one pattern and the updating further comprises:
updating the at least one pattern to permit automatically overriding the trip signal from the second sensor.

6. The computer-implemented method of claim 2 , further comprising:
receiving a response to the override request, wherein the response indicates the trip signal from the second sensor is not to be overridden; and
generating at least one of an alarm, an alert, and a notification indicating that the sensor has generated a trip signal.

7. The computer-implemented method of claim 1 , wherein the determining that the trip signal can be automatically overridden is based on matching an identity of the sensor and a state of the security system with at least one pattern in a model, and the at least one pattern represents a state of the security system in which automatically overriding the trip signal from the sensor is permitted further comprises:
determining the state of the security system and the entryway sensor matches at least one pattern in the model, wherein the determining is based on at least one of parameter-based matching, probabilistic matching, statistical matching, or machine learning-based matching; and
determining the at least one matched pattern permits automatically overriding the trip signal from the sensor.

8. The computer-implemented method of claim 7 , wherein the at least one pattern in the model is one or more of parameter-based, probabilistic, statistical, or machine learning based.

9. The computer-implemented method of claim 1 , wherein the state of the security system comprises one or more of parameters selected from the group consisting of: a state of other sensors connected to the security system, the presence of persons within an environment monitored by the security system, time of day, a day of the week, a day of the month, a month of the year, a climate within the environment monitored by the security system, a climate outside the environment monitored by the security system, and a mode of the security system.

10. The computer-implemented method of claim 1 , wherein the sensor remains armed while the trip signal from the sensor is overridden.

11. A computer-implemented system for learned overrides comprising:
an sensor of a security system, wherein the sensor is adapted to monitor for an activity or state and is adapted to generate a trip signal when the sensor detects the activity or the state;
a storage device storing a model, wherein the model comprises at least one pattern comprising a representation of a state of the security system; and
a hub computing device adapted to:
detect the trip signal from the sensor when the sensor is armed,
determine if automatically overriding the trip signal from the entryway sensor is permitted based on an identity of the sensor and a state of the security system and the at least one pattern,
override the trip signal from the sensor automatically when permitted,
send an override request to a computing device accessible to a user of the security system when an automatic override of the trip signal is not permitted,
receive a response to the override request, and
update, after receiving at least a set number of responses indicating the trip signal is to be overridden, the at least one pattern in the model to automatically override the trip signal.

12. The computer-implemented system of claim 11 , wherein the hub computing device further comprises a display adapted to display:
an override request; and
a notification of a trip signal override.

13. The computer-implemented system of claim 11 , wherein the hub computing device is further adapted to determine:
the state of the security system and the sensor match the at least one pattern in the model; and
the at least one matched pattern permits automatically overriding the trip signal from the sensor.

14. The computer-implemented system of claim 11 , wherein the at least one pattern in the model is one or more of parameter-based, probabilistic, statistical, or machine learning based.

15. The computer-implemented system of claim 11 , wherein the hub computing device is further adapted to update the at least one pattern in the model to permit automatically overriding trip signals from the sensor.

16. The computer-implemented system of claim 11 , wherein the state of the security system comprises one or more of parameters selected from the group consisting of: a state of other sensors connected to the security system, the presence of persons within an environment monitored by the security system, time of day, a day of the week, a day of the month, a month of the year, a climate within the environment monitored by the security system, a climate outside the environment monitored by the security system, and a mode of the security system.

17. The computer-implemented system of claim 11 , wherein the sensor is further adapted to remain armed while the trip signal from the sensor is overridden.

18. A system comprising:
one or more computers; and
one or more storag

Assignees

• Google Inc

Inventors

• Malhotra Mark Rajan
• Le Guen Sophie
• Boyd Jeffrey Alan
• Lee Jeffery Theodore
• Hester Todd

Classifications

• G08B25/009 Primary

  Signalling of the alarm condition to a substation whose identity is signalled to a central station, e.g. relaying alarm signals in order to extend communication range · CPC title

• G08B25/008 Primary

  Alarm setting and unsetting, i.e. arming or disarming of the security system · CPC title

• G08B21/18

  Status alarms (G08B21/02 takes precedence) · CPC title

• G08B13/2491

  Intrusion detection systems, i.e. where the body of an intruder causes the interference with the electromagnetic field · CPC title