Identification graph theory
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.
1. A method, comprising: detecting a movement associated with an entity at a location;
determining whether the entity is a person based at least in part on detecting the movement;
identifying first identification data associated with the person;
identifying the person based at least in part on the first identification data associated with the person, wherein identifying the person comprises comparing the first identification data associated with the person to image data stored at a database;
determining a confidence level of identification of the person after identifying the person;
identifying second identification data associated with the person based at least in part on determining the confidence level;
comparing the second identification data with additional data stored at the database based at least in part on identifying the second identification data;
verifying the identity of the person based at least in part on identifying the second identification data associated with the person; and
transmitting, to a second person at a second location, a notification comprising identity information of the person based at least in part on determining the confidence level of identification of the person.
2. The method of claim 1 , wherein determining whether the entity is a person comprises comparing the detected movement to known movement characteristics of a person.
3. The method of claim 1 , further comprising: receiving, from the person, confirmation input regarding the identity information of the person; and transmitting, to the database, the confirmation input regarding the identity information of the person.
4. The method of claim 1 , further comprising: calculating a probability of identification of the person based at least in part on the first identification data and the second identification data associated with the person, wherein the notification comprises an indication of the probability of identification of the person.
5. The method of claim 4 , wherein the probability of identification of the person is calculated using a decision tree.
6. The method of claim 4 , wherein the second identification data comprises biometric information associated with the person.
7. The method of claim 6 , wherein the biometric information associated with the person includes fingerprint data, retinal data, height, weight, body shape and size, hair length, hair color, or a combination thereof.
8. The method of claim 1 , wherein detecting the movement associated with the entity comprises capturing video of the entity.
9. 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 movement associated with an entity at a location;
determine whether the entity is a person based at least in part on detecting the movement;
identify first identification data associated with the person;
identify the person based at least in part on the first identification data associated with the person, wherein identifying the person comprises comparing the first identification data associated with the person to image data stored at a database;
determine a confidence level of identification of the person after identifying the person;
identify second identification data associated with the person based at least in part on determining the confidence level;
compare the second identification data with additional data stored at the database based at least in part on identifying the second identification data;
verify the identity of the person based at least in part on identifying the second identification data associated with the person; and
transmit, to a second person at a second location, a notification comprising identity information of the person based at least in part on determining the confidence level of identification of the person.
10. The apparatus of claim 9 , wherein determining whether the entity is a person comprises comparing the detected movement to movement characteristics of a person.
11. The apparatus of claim 9 , wherein the instructions are executable by the processor to:
receive, from the person, confirmation input regarding the identity information of the person; and
transmit, to the database, the confirmation input regarding the identity information of the person.
12. The apparatus of claim 9 , wherein the instructions are executable by the processor to:
calculate a probability of identification of the person based at least in part on the first identification data and the second identification data associated with the person, wherein the notification comprises an indication of the probability of identification of the person.
13. The apparatus of claim 12 , wherein the probability of identification of the person is calculated using a decision tree.
14. The apparatus of claim 12 , wherein the second identification data comprises biometric information associated with the person.
15. The apparatus of claim 14 , wherein the biometric information associated with the person includes fingerprint data, retinal data, height, weight, body shape and size, hair length, hair color, or a combination thereof.
16. A non-transitory computer-readable medium storing computer-executable code, the code executable by a processor to:
detect a movement associated with an entity at a location;
determine whether the entity is a person based at least in part on detecting the movement;
identify first identification data associated with the person;
identify the person based at least in part on the first identification data associated with the person, wherein identifying the person comprises comparing the first identification data associated with the person to image data stored at a database;
determine a confidence level of identification of the person after identifying the person;
identify second identification data associated with the person based at least in part on determining the confidence level;
compare the second identification data with additional data stored at the database based at least in part on identifying the second identification data;
verify the identity of the person based at least in part on identifying the second identification data associated with the person; and
transmit, to a second person at a second location, a notification comprising identity information of the person based at least in part on determining the confidence level of identification of the person.
17. The non-transitory computer-readable medium of claim 16 , the code executable by the processor to:
receive, from the person, confirmation input regarding the identity information of the person; and
transmit, to the database, the confirmation input regarding the identity information of the person.
18. The non-transitory computer-readable medium of claim 16 , the code executable by the processor to:
calculate a probability of identification of the person based at least in part on the first identification data and the second identification data associated with the person, wherein the notification comprises an indication of the probability of identification of the person.