IP Library › Granted Patent US 12664875
Granted Patent B2
US 12664875 · App. 18/471,944 · Granted Jun 23, 2026

Auto-configuring of battery operated devices in a premises security system

Inventor: Mark Reimer (Denver, CO)
Assignee: The ADT Security Corporation
G08B29/181G06N20/00G08B13/04G08B13/19682G08B17/10G08B25/008
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Quick Facts
Patent No.
US 12664875
App. No.
18/471,944
Granted
Jun 23, 2026
Kind
B2
Abstract

A premises control unit in communication with at least one battery operated sensor of a premises security system is provided. The premises control unit includes processing circuitry configured to configure at least one parameter for the at least one battery operated sensor where the configuration of the at least one parameter is based at least on data collected by the premises security system, and the at least one parameter includes at least sleep cycles for the at least one battery operated sensor.

Claims (47)

1 . A premises control unit configured to be in communication with a battery operated sensor of a premises security system, the battery operated sensor being separate from the premises control unit and controllable by the premises control unit, the premises control unit comprising:

processing circuitry configured to:

determine at least one parameter for the battery operated sensor based at least on data collected by the premises security system, the at least one parameter comprising a sleep cycle setting for the at least one battery operated sensor, the data comprising at least one of timestamp data or data indicating a state of the premises security system; and

configure the battery operated sensor according to the at least one parameter.

2 . The premises control unit of claim 1 , wherein the at least one parameter comprises a sensitivity of the at least one battery operated sensor.

3 . The premises control unit of claim 2 , wherein the sensitivity of the at least one battery operated sensor is based at least on whether the at least one battery operated sensor is one of a lifestyle device or a life safety device.

4 . The premises control unit of claim 3 , wherein the sensitivity is configured to:

a first sensitivity if the at least one battery operated sensor is a life style device; and

a second sensitivity if the at least one battery operated sensor is a life safety device, the first sensitivity being greater than the second sensitivity.

5 . The premises control unit of claim 1 , wherein the data collected by the premises security system comprises at least timestamp data, the timestamp data comprises of at least one of:

a motion detection signal timestamp for each battery operated sensor;

a door sensor timestamp;

a window sensor timestamp;

a glass break timestamp;

an acoustic detector timestamp;

a smoke detector timestamp; and

a video camera motion detection timestamp.

6 . The premises control unit of claim 1 , wherein the processing circuitry is further configured to analyze the data collected by the premises security system using a machine learning algorithm to determine the configuration of the at least one parameter for the at least one battery operated sensor.

7 . The premises control unit of claim 1 , wherein the configuration of the at least one parameter for the at least one battery operated sensor is received from a server and is based at least on applying a machine learning algorithm to the data collected by the premises security system.

8 . The premises control unit of claim 6 , wherein the machine learning algorithm uses at least a functionality requirement of the at least one battery operated sensor to determine the configuration of the at least one parameter for the at least one battery operated sensor.

9 . The premises control unit of claim 1 , wherein the at least one battery operated sensor comprises at least one of a passive infrared (PIR) motion detector or contact sensor.

10 . The premises control unit of claim 1 , wherein the data comprises at least data indicating the state of the premises security system, the state of the premises security system being one of armed or disarmed;

the at least one parameter corresponding to a first sleep cycle setting when the state of the premises security system is armed; and

the at least one parameter corresponding to a second sleep cycle setting when the state of the premises security system is disarmed, the first sleep cycle setting being different from the second sleep cycle setting.

11 . A method implemented by a premises control unit that is configured to be in communication with a battery operated sensor of a premises security system, the battery operated sensor being separate from the premises control unit and controllable by the premises control unit, the method comprising:

determining at least one parameter for the battery operated sensor based at least on data collected by the premises security system, the at least one parameter comprising a sleep cycle setting for the at least one battery operated sensor, the data comprising at least one of timestamp data or data indicating a state of the premises security system; and

configuring the battery operated sensor according to the at least one parameter.

12 . The method of claim 11 , wherein the at least one parameter comprises a sensitivity of the at least one battery operated sensor.

13 . The method of claim 12 , wherein the sensitivity of the at least one battery operated sensor is based at least on whether the at least one battery operated sensor is one of a lifestyle device or a life safety device.

14 . The method of claim 13 , wherein the sensitivity is configured to:

a first sensitivity if the at least one battery operated sensor is a life style device; and

a second sensitivity if the at least one battery operated sensor is a life safety device, the first sensitivity being greater than the second sensitivity.

15 . The method of claim 11 , wherein the data collected by the premises security system comprises at least timestamp data, the timestamp data comprises of at least one of:

a motion detection signal timestamp for each battery operated sensor;

a door sensor timestamp;

a window sensor timestamp;

a glass break timestamp;

an acoustic detector timestamp;

a smoke detector timestamp; and

a video camera motion detection timestamp.

16 . The method of claim 11 , further comprising analyzing the data collected by the premises security system using a machine learning algorithm to determine the configuration of the at least one parameter for the at least one battery operated sensor.

17 . The method of claim 11 , wherein the configuration of the at least one parameter for the at least one battery operated sensor is received from a server and is based at least on applying a machine learning algorithm to the data collected by the premises security system.

18 . The method of claim 16 , wherein the machine learning algorithm uses at least a functionality requirement of the at least one battery operated sensor to determine the configuration of the at least one parameter for the at least one battery operated sensor.

19 . The method of claim 11 , wherein the at least one battery operated sensor comprises at least one of a passive infrared (PIR) motion detector or contact sensor.

20 . The method of claim 11 , wherein the data comprises at least data indicating the state of the premises security system, the state of the premises security system being one of armed or disarmed;

the at least one parameter corresponding to a first sleep cycle setting when the state of the premises security system is armed; and

the at least one parameter corresponding to a second sleep cycle setting when the state of the premises security system is disarmed, the first sleep cycle setting being different from the second sleep cycle setting.