Aberration engine
An aberration engine that collects data sensed by a monitoring system that monitors a property of a user and aggregates the collected data over a period of a time. The aberration engine detects, within the aggregated data, patterns of recurring events and, based on detecting the patterns of recurring events within the aggregated data, takes action related to the monitoring system based on the detected patterns of recurring events within the aggregated data.
1. An electronic system comprising:
at least one processor; and
at least one non-transitory computer-readable storage medium coupled to the at least one processor having stored thereon instructions which, when executed by the at least one processor, causes the at least one processor to perform operations comprising:
monitoring for events detected by a monitoring system located at a property;
based on the monitoring, identifying at least one event detected by the monitoring system;
evaluating the at least one event based on data related to the monitoring system that includes at least historical sensor data and current status of the monitoring system;
based on the evaluation, assigning one or more abnormality scores to the at least one event using statistical analysis to decide an abnormality score based on event timing and an order of events;
determining whether abnormal activity has occurred based on the one or more abnormality scores assigned by aggregating abnormality scores for multiple events detected over a period of time;
based on the determination, generating a list of abnormal activities; and
based on the generated list of abnormal activities, performing an action by automatically removing an abnormal activity from the generated list of abnormal activities.
2. The system of claim 1 , wherein assigning one or more abnormality scores to the at least one event comprises assigning one or more abnormality scores that are each more than true or false.
3. The system of claim 1 :
wherein the at least one event detected by the monitoring system while the monitoring system is in an unarmed state comprises multiple events detected by the monitoring system while the monitoring system is in an unarmed state.
4. The system of claim 1 :
wherein the data related to the monitoring system includes additional current status information of devices associated with the monitoring system; and
wherein evaluating the at least one event comprises evaluating the at least one event based on the additional current status information of devices associated with the monitoring system.
5. The system of claim 4 :
wherein the additional current status information of devices associated with the monitoring system includes car or smartphone locations; and
wherein evaluating the at least one event based on the additional current status information of devices associated with the monitoring system comprises evaluating the at least one event based on the car or smartphone locations.
6. The system of claim 1 :
wherein the data related to the monitoring system includes historical responses to alerts; and
wherein evaluating the at least one event comprises evaluating the at least one event based on the historical responses to alerts.
7. The system of claim 1 :
wherein the data related to the monitoring system includes a customer-specified level of sensitivity for each sensor; and
wherein evaluating the at least one event comprises evaluating the at least one event based on the customer-specified level of sensitivity for each sensor.
8. The system of claim 1 :
wherein the data related to the monitoring system includes a measure of how much false alarms bother a user of the monitoring system; and
wherein evaluating the at least one event comprises evaluating the at least one event based on the measure of how much false alarms bother a user of the monitoring system.
9. An electronic system comprising:
at least one processor; and
at least one non-transitory computer-readable storage medium coupled to the at least one processor having stored thereon instructions which, when executed by the at least one processor, causes the at least one processor to perform operations comprising:
monitoring for events detected by a monitoring system located at a property;
based on the monitoring, identifying at least one event in which an action that is normally detected by the monitoring system while the monitoring system is in an unarmed state has not occurred;
evaluating the at least one event based on data related to the monitoring system that includes at least historical sensor data and current status of the monitoring system;
based on the evaluation, assigning one or more abnormality scores to the at least one event using statistical analysis to decide an abnormality score based on event timing and an order of events;
determining whether abnormal activity has occurred based on the one or more abnormality scores assigned by aggregating abnormality scores for multiple events detected over a period of time;
based on the determination and the unarmed state of the monitoring system, performing an action by automatically removing an abnormal activity from the generated list of abnormal activities.
10. The system of claim 9 , wherein assigning one or more abnormality scores to the at least one event comprises assigning one or more abnormality scores that are each more than true or false.
11. The system of claim 9 , wherein performing the action comprises automatically updating one or more thresholds used in controlling the monitoring system; and
wherein the one or more abnormality scores represent a measure of how unusual this behavior is based on history of the monitoring system.
12. The system of claim 9 :
wherein the data related to the monitoring system includes additional current status information of devices associated with the monitoring system; and
wherein evaluating the at least one event comprises evaluating the at least one event based on the additional current status information of devices associated with the monitoring system.
13. The system of claim 12 :
wherein the additional current status information of devices associated with the monitoring system includes car or smartphone locations; and
wherein evaluating the at least one event based on the additional current status information of devices associated with the monitoring system comprises evaluating the at least one event based on the car or smartphone locations.
14. The system of claim 9 :
wherein the data related to the monitoring system includes historical responses to alerts; and
wherein evaluating the at least one event comprises evaluating the at least one event based on the historical responses to alerts.
15. The system of claim 9 :
wherein the data related to the monitoring system includes a customer-specified level of sensitivity for each sensor; and
wherein evaluating the at least one event comprises evaluating the at least one event based on the customer-specified level of sensitivity for each sensor.
16. The system of claim 9 :
wherein the data related to the monitoring system includes a measure of how much false alarms bother a user of the monitoring system; and
wherein evaluating the at least one event comprises evaluating the at least one event based on the measure of how much false alarms bother a user of the monitoring system.
17. The system of claim 9 , wherein performing the action based on the determination and the unarmed state of the monitoring system comprises providing an alert that includes the at least one event that triggered the alert, a measure of how unusual this behavior is based on history of the monitoring system, and actions a user of the monitoring system can take in response to the alert.
18. The system of claim 9 , wherein assigning one or more abnormality scores to the at least one event comprises using statistical analysis to decide an abnormality score based on event timing and an order of events.