Identification graph theory

Patent metadata

Field	Value
Publication number	US-9948479-B2
Application number	US-201615091326-A
Country	US
Kind code	B2
Filing date	Apr 5, 2016
Priority date	Apr 5, 2016
Publication date	Apr 17, 2018
Grant date	Apr 17, 2018

Abstract

Apparatuses, techniques, and methods for a security and/or automation system are described. In some cases, these may include detecting a presence of a person at a location; determine a first identification datum associated with the person; calculating a first probability of identification based at least in part on the first identification datum; determining an identity of the person based at least in part on the first probability; and initiating an action based at least in part on the determined identity.

First claim

What is claimed is:

1. A method for security and/or automation, comprising:
detecting a presence of a person at a location;
determining a first identification datum associated with the person; calculating a first probability of identification at a first node in a decision tree based at least in part on the first identification datum;
determining, based at least in part on the first probability of identification, a second identification datum associated with the person;
calculating a second probability of identification at a second node in the decision tree based at least in part on the first probability of identification and the second identification datum, the second node dependent on the first node;
determining an identity of the person based at least in part on the second probability at the second node in the decision tree; and
initiating an action based at least in part on the determined the identity of the person.

2. The method of claim 1 , wherein initiating the action comprises:
broadcasting a notification to the person at the location or a second person at a second location.

3. The method of claim 1 , further comprising wherein determining the first identification datum comprises:
detecting a behavioral pattern associated with the location.

4. The method of claim 1 , further comprising wherein determining the first identification datum comprises:
detecting an action of the person.

5. The method of claim 1 , wherein calculating the first probability of identification and calculating the second probability of identification is performed using computational intelligence.

6. The method of claim 1 , wherein calculating the second probability of identification comprises:
analyzing the first identification datum and the second identification datum based at least in part on a user profile stored in memory; and
updating the user profile based at least in part on the analysis.

7. The method of claim 6 , wherein updating the user profile is based at least in part on receiving a confirmation of identification or a rejection of identification from the person.

8. The method of claim 6 , wherein determining the identity of the person comprises:
determining a third identification datum associated with the person or a second person;
re-calculating the first probability and the second probability based at least on receiving the third identification datum; and
calculating a third probability of identification based at least in part on the first probability and the second probability.

9. The method of claim 8 , wherein the second person comprises:
an unknown person.

10. The method of claim 8 , wherein the third identification datum is a confirmation of identification or a rejection of identification from the person.

11. The method of claim 1 , further comprising:
updating the first probability based at least in part on an adjustment to a user profile.

12. The method of claim 1 , wherein determining the first identification datum associated with the person further comprises:
receiving temporal data related to determining the presence of the person at the location.

13. The method of claim 1 , wherein determining the first identification datum comprises:
receiving identifying information from a user.

14. The method of claim 13 , wherein receiving the identifying information comprises:
receiving a personal identification code.

15. The method of claim 13 , wherein the user and the person are different.

16. The method of claim 1 , wherein determining the first identification datum comprises:
determining a physical characteristic associated with the person.

17. The method of claim 1 , wherein determining the first identification datum comprises:
receiving biometric data associated with the person.

18. The method of claim 1 , wherein determining the identity of the person is based at least in part on the first probability satisfying a threshold value.

19. The method of claim 1 , wherein determining the first identification datum comprises:
receiving a wireless communication from an electronic device associated with the person.

20. The method of claim 19 , wherein receiving the wireless communication comprises:
receiving an indication of an operation performed by the electronic device.

21. The method of claim 1 , further comprising:
comparing the first identification datum to a user profile stored in memory.

22. The method of claim 1 , wherein determining the first identification datum comprises:
receiving social media information associated with the person.

23. An apparatus for security and/or automation systems, comprising:
a processor;
memory in electronic communication with the processor; and
instructions stored in the memory, the instructions being executable by the processor to:
detect a presence of a person at a location; determine a first identification datum associated with the person; calculate a first probability of identification at a first node in a decision tree based at least in part on the first identification datum;
determine, based at least in part on the first probability of identification, a second identification datum associated with the person;
calculate a second probability of identification at a second node in the decision tree based at least in part on the first probability of identification and the second identification datum, the second node dependent on the first node;
determining an identity of the person based at least in part on the second probability at the second node in the decision tree; and
initiate an action based at least in part on the determined the identity of the person.

24. A non-transitory computer-readable medium storing computer-executable code, the code executable by a processor to:
detect a presence of a person at a location;
determine a first identification datum associated with the person;
calculate a first probability of identification at a first node in a decision tree based at least in part on the first identification datum;
determine, based at least in part on the first probability of identification, a second identification datum associated with the person;
calculate a second probability of identification at a second node in the decision tree based at least in part on the first probability of identification and the second identification datum, the second node dependent on the first node;
determining an identity of the person based at least in part on the second probability at the second node in the decision tree; and
initiate an action based at least in part on the determined the identity of the person.

Assignees

• Vivint Inc

Inventors

• Bunker Brandon
• Davis Aaron
• Lin Rongbin Lanny
• Liu Shiwei

Classifications

• H04L12/282 Primary

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