Using degree of confidence to prevent false security system alarms

• US 10,176,706 B2
• Filed: 10/05/2017
• Issued: 01/08/2019
• Est. Priority Date: 08/15/2014
• Status: Active Grant

• Current Assignee: The ADT Security Corporation (Apollo Global Management, Inc.)
• Original Assignee: The ADT Security Corporation (Apollo Global Management, Inc.)
• Inventors: Beaver, Robert, Petty, Ryan B., Nakatani, Thomas, Reimer, Mark, Masterson, Clinton, Isaacs Lopeztello, Tondria Leah, Hulshizer, Scot A., Gerling, Eric W., Conway, Mollie, Shuman, Richard Charles, Angel, Brian Keith, Pankrez, Shanen Leigh, Cona, Frank A.
• Primary Examiner(s): Flores, Leon
• Application Number:
  US15/725,727
• Publication Number:
  US 20180033291A1
• Time in Patent Office: 460 Days
• CPC Class Codes: G08B 29/185 Signal analysis techniques for reducing or preventing false alarms or for enhancing the reliability of the system
• CPC Class Codes: G08B 29/188 Data fusion; cooperative systems, e.g. voting among different detectors
• CPC Class Codes: G08B 31/00 Predictive alarm systems characterised by extrapolation or other computation using updated historic data

Abstract

A device and method for analyzing an event at a premises is provided. In one embodiment the device includes a processor and a memory configured to store executable instructions, which when executed by the processor, cause the processor to receive first event data related to the event at the premises, receive verification data related to the event at the premises, analyze the first event data in conjunction with the verification data, generate, based on the analysis, an indication of a probability that the event is an alarm event, and initiate at least one action based on the indication.

Claims

1. A device for analyzing an event at a premises, the device comprising:

a processor; and

a memory configured to store executable instructions, which when executed by the processor, cause the processor to;

receive first event data related to the event at the premises;

receive verification data related to the event at the premises, the verification data being different from the first event data, the verification data including at least one of;

an indication whether equipment at the premises is one of in use and being made ready for use; and

an indication whether an object detected at the premises is one of a human and non-human;

analyze the first event data in conjunction with the verification data, the analysis including assigning at least one predefined component value to the verification data based on a component that generated the verification data;

generate, based on the analysis, an indication of a probability that the event is an alarm event; and

initiate at least one action, at the premises, based on the indication of the probability that the event is the alarm event.

2. The device of claim 1, wherein the indication whether equipment at the premises is one of in use and being made ready for use includes an indication if a wireless tag associated with the equipment has been activated due to the equipment being one of in use and being made ready for use.

3. The device of claim 2, wherein the wireless tag is activated if:

a component is removed from the equipment; and

a state of contact between the equipment and an equipment retention element is changed.

4. The device of claim 1, wherein the indication whether the object detected at the premises is one of a human and non-human includes an indication of a size of the object.

5. The device of claim 1, wherein the indication of the probability that the event is an alarm event includes at least one of a percentage value representing a probability of whether the event is an alarm event, a color scheme representing one of a plurality of predefined levels of probability of whether the event is an alarm event, and one of a plurality of predefined levels of probability of whether the event is an alarm event.

6. The device of claim 1, wherein the analyzing of the first event data in conjunction with the verification data includes:

determining a first predefined alarm value associated with the first event data;

determining at least one second predefined alarm value associated with the verification data; and

adding the first predefined alarm value, the at least one second predefined alarm value and the at least one predefined component value to generate the likelihood that the event is an alarm event.

7. The device of claim 1, wherein the at least one action includes at least one of initiating a home automation and actuating an alarm indicator.

8. The device of claim 1, wherein the first event data includes data from at least one of a door contact, a window contact, a carbon monoxide detector, a smoke detector, a glass break detector, a motion detector, a video camera, an audio sensor, an accelerometer, a vibration sensor, a keypad, a pressure sensor, a humidistat, a temperature sensor, a biometric device, an infrared image sensor, a vapor sensor, a wireless network router, a photosensor, a tamper switch, a GPS device, assets tag, a glucose meter, a blood pressure meter, a personal emergency response system (PERS) pendant, and a smart phone.

9. The device of claim 1, wherein the verification data includes at least one of profile data, statistical data and second event data different from first event data;

and

the second event data includes data from at least one of a door contact, a window contact, a carbon monoxide detector, a smoke detector, a glass break detector, a motion detector, a video camera, an audio sensor, an accelerometer, a vibration sensor, a keypad, a pressure sensor, a humidistat, a temperature sensor, a biometric device, an infrared image sensor, a vapor sensor, a wireless network router, a photosensor, a tamper switch, a GPS device, assets tag, a glucose meter, a blood pressure meter, a personal emergency response system (PERS) pendant, and a smart phone.

10. The device of claim 9, wherein profile data includes at least one of information related to an occupant of the premises, a pet kept on the premises, smart phone data, structural details of the premises and geographic information associated with the premises.

11. A method for a device for analyzing an event at a premises, the method comprising:

receiving first event data related to the event at the premises;

receiving verification data related to the event at the premises, the verification data being different from the first event data, the verification data including at least one of;

an indication whether equipment at the premises is one of in use and being made ready for use; and

an indication whether an object detected at the premises is one of a human and non-human;

analyzing the first event data in conjunction with the verification data, the analysis including assigning at least one predefined component value to the verification data based on a component that generated the verification data;

generating, based on the analysis, an indication of a probability that the event is an alarm event; and

initiating at least one action, at the premises, based on the indication of the probability that the event is the alarm event.

12. The method of claim 11, wherein the indication whether equipment at the premises is one of in use and being made ready for use includes an indication if a wireless tag associated with the equipment has been activated due to the equipment being one of in use and being made ready for use.

13. The method of claim 12, wherein the wireless tag is activated if:

a component is removed from the equipment; and

a state of contact between the equipment and an equipment retention element is changed.

14. The method of claim 11, wherein the indication whether the object detected at the premises is one of a human and non-human includes an indication of a size of the object.

15. The method of claim 11, wherein the indication of the probability that the event is an alarm event includes at least one of a percentage value representing a probability of whether the event is an alarm event, a color scheme representing one of a plurality of predefined levels of probability of whether the event is an alarm event, and one of a plurality of predefined levels of probability of whether the event is an alarm event.

16. The method of claim 11, wherein the analyzing of the first event data in conjunction with the verification data includes:

determining a first predefined alarm value associated with the first event data;

determining at least one second predefined alarm value associated with the verification data; and

adding the first predefined alarm value, the at least one second predefined alarm value and the at least one predefined component value to generate the likelihood that the event is an alarm event.

17. The method of claim 11, wherein the at least one action includes at least one of initiating a home automation-and actuating an alarm indicator.

18. The method of claim 11, wherein the first event data includes data from at least one of a door contact, a window contact, a carbon monoxide detector, a smoke detector, a glass break detector, a motion detector, a video camera, an audio sensor, an accelerometer, a vibration sensor, a keypad, a pressure sensor, a humidistat, a temperature sensor, a biometric device, an infrared image sensor, a vapor sensor, a wireless network router, a photosensor, a tamper switch, a GPS device, assets tag, a glucose meter, a blood pressure meter, a personal emergency response system (PERS) pendant, and a smart phone.

19. The method of claim 11, wherein the verification data includes at least one of profile data, statistical data and second event data different from first event data;

and

the second event data includes data from at least one of a door contact, a window contact, a carbon monoxide detector, a smoke detector, a glass break detector, a motion detector, a video camera, an audio sensor, an accelerometer, a vibration sensor, a keypad, a pressure sensor, a humidistat, a temperature sensor, a biometric device, an infrared image sensor, a vapor sensor, a wireless network router, a photosensor, a tamper switch, a GPS device, assets tag, a glucose meter, a blood pressure meter, a personal emergency response system (PERS) pendant, and a smart phone.

20. The method of claim 19, wherein profile data includes at least one of information related to an occupant of the premises, a pet kept on the premises, smart phone data, structural details of the premises and geographic information associated with the premises.