System and method for property monitoring
An outdoor camera integrated into an alarm system for property monitoring, configured to monitor a property. The alarm system can have a base station that communicates with all the components of the alarm system, such as an outdoor camera, which can be equipped with an imaging sensor and software capabilities to conduct analysis on data collected by the outdoor camera to determine information about a human or non-human visitor at the property. The outdoor camera provides information about detected events at the property to the base station, where the data can be used to take appropriate action at the property and communicate with either the user or a monitoring service.
1 . A method, comprising:
determining, by a computing system, that a motion event occurred at a property;
receiving, by the computing system, data acquired by a camera monitoring the property;
determining, by the computing system and using the data, that a visitor on the property is a delivery person based on at least one external feature of the visitor;
determining, by the computing system, a risk score representing a likelihood that the motion event is related to criminal activity, wherein the risk score is based at least in part on (i) the visitor having been determined to be a delivery person, (ii) a length of time the visitor has been present at the property, and (iii) a time of day; and
causing, by the computing system and based at least in part on the risk score satisfying a threshold, a notification to be sent to an endpoint device.
2 . The method of claim 1 , further comprising:
performing, by the computing system, recognition processing using the data to recognize the at least one external feature of the visitor.
3 . The method of claim 2 , wherein the recognition processing includes facial recognition processing.
4 . The method of claim 1 , further comprising:
determining, by the computing system, a path that the visitor takes at the property;
wherein determining that the visitor is a delivery person is based at least in part on the path.
5 . The method of claim 1 , wherein the computing system is a component of the camera.
6 . The method of claim 1 , wherein the risk score is further based on a path the visitor takes at the property.
7 . The method of claim 1 , wherein the risk score is further based on information received from one or more sensors at the property other than the camera.
8 . A system, comprising:
one or more processors; and
one or more computer-readable mediums encoded with instructions which, when executed by the one or more processors, cause the system to:
determine that a motion event occurred at a property;
receive data acquired by a camera monitoring the property;
determine, using the data, that a visitor on the property is a delivery person based on at least one external feature of the visitor;
determine a risk score representing a likelihood that the motion event is related to criminal activity, wherein the risk score is based at least in part on (i) the visitor having been determined to be a delivery person, (ii) a length of time the visitor has been present at the property, and (iii) a time of day; and
based at least in part on the risk score satisfying a threshold, cause a notification to be sent to an endpoint device.
9 . The system of claim 8 , wherein the one or more computer-readable mediums are further encoded with additional instructions which, when executed by the one or more processors, further cause the system to:
perform recognition processing using the data to recognize the at least one external feature of the visitor.
10 . The system of claim 9 , wherein the recognition processing includes facial recognition processing.
11 . The system of claim 8 , wherein the one or more computer-readable mediums are further encoded with additional instructions which, when executed by the one or more processors, further cause the system to:
determine a path that the visitor takes at the property; and
determine that the visitor is a delivery person based at least in part on the path.
12 . The system of claim 8 , wherein the one or more computer-readable mediums are further encoded with additional instructions which, when executed by the one or more processors, further cause the system to:
determine the risk score so that the risk score is further based on a path the visitor takes at the property.
13 . The system of claim 8 , wherein the one or more computer-readable mediums are further encoded with additional instructions which, when executed by the one or more processors, further cause the system to:
determine the risk score so that the risk score is further based on information received from one or more sensors at the property other than the camera.
14 . One or more non-transitory computer-readable mediums encoded with instructions which, when executed by one or more processors of a system, cause the system to:
determine that a motion event occurred at a property;
receive data acquired by a camera monitoring the property;
determine, using the data, that a visitor on the property is a delivery person based on at least one external feature of the visitor;
determine a risk score representing a likelihood that the motion event is related to criminal activity, wherein the risk score is based at least in part on (i) the visitor having been determined to be a delivery person, (ii) a length of time the visitor has been present at the property, and (iii) a time of day; and
based at least in part on the risk score satisfying a threshold, cause a notification to be sent to an endpoint device.
15 . The one or more non-transitory computer-readable mediums of claim 14 , further encoded with additional instructions which, when executed by the one or more processors, further cause the system to:
perform recognition processing using the data to recognize the at least one external feature of the visitor.
16 . The one or more non-transitory computer-readable mediums of claim 15 ,
wherein the recognition processing includes facial recognition processing.
17 . The one or more non-transitory computer-readable mediums of claim 14 , further encoded with additional instructions which, when executed by the one or more processors, further cause the system to:
determine a path that the visitor takes at the property; and
determine that the visitor is a delivery person based at least in part on the path.
18 . The one or more non-transitory computer-readable mediums of claim 14 , further encoded with additional instructions which, when executed by the one or more processors, further cause the system to:
determine the risk score so that the risk score is further based on a path the visitor takes at the property.
19 . The one or more non-transitory computer-readable mediums of claim 18 , further encoded with additional instructions which, when executed by the one or more processors, further cause the system to: determine the risk score so that the risk score is further based on information received from one or more sensors at the property other than the camera.