Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for using a drone to test monitoring system sensors. In one aspect, the drone perform operations that include navigating from a first location of a property towards a second location of the property, detecting a sensor that is installed at the property, interrupting, by the drone, navigation through the property from the first location of the property towards the second location of the property to initiate a test of the detected sensor and (ii) determining a sensor test type for the detected sensor, administering a sensor test to the detected sensor, wherein the sensor test is based on the determined sensor test type, evaluating results of the administered test, storing data describing the results of the administered test, and continuing navigation through the property towards the second location of the property or towards another location of the property.

Abstract: A monitoring system that is configured to monitor a property is disclosed. In one aspect, the monitoring system includes one or more sensors that are located throughout the property and that are configured to generate sensor data. The monitoring system further includes a drone that is configured to move throughout the property and generate additional sensor data. The monitoring system further includes a drone dock that is configured to receive the drone, wherein the drone is configured to continue generating the additional sensor data while the drone dock is receiving the drone. The monitoring system further includes a monitor control unit that is configured to receive the sensor data and the additional sensor data, analyze the sensor data and the additional sensor data, determine a status of the property, and provide, for output, data indicating the status of the property.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for enabling drone activity in a property monitored by a property monitoring system without triggering a false alarm. In one aspect, the method includes actions of obtaining a location of the drone, identifying a first sensor installed at the property that is within a predetermined distance of the drone, detecting first sensor data generated by the first sensor that is within a predetermined distance of the drone, wherein the first sensor data includes data that is indicative of an event, determining whether a second sensor that is mounted to the drone is generating second sensor data that corroborates the event indicated by the first sensor data, and disregarding, by the property monitoring system, the first sensor data in determining whether to trigger an alarm.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for reduction of false detections using an ultrasound emitter. One of the methods includes obtaining sensor data captured by a sensor of a property monitoring system; detecting an object represented by the sensor data; determining that the object represented by the sensor data is likely a non-object of interest and being detected as an object of interest; and in response to determining that the object represented by the sensor data is likely the non-object of interest and being detected as the object of interest, sending, to an ultrasound emitter, a command to cause the ultrasound emitter to emit ultrasonic sound around the sensor.

Abstract: A method includes generating, by a camera of a monitoring system that is configured to monitor a property, first image data at a first time, analyzing the first image data, determining that the first image data includes a first object that likely corresponds to a person, generating, second image data at a second, later time, analyzing the second image data, determining that the second image includes a second object that likely corresponds to a person, comparing the first object that likely corresponds to a person to the second object that likely corresponds to a person, based on comparing the first object that likely corresponds to a person to the second object that likely corresponds to a person and based on a difference between the first time and the second, later time, determining that a person is likely moving towards the camera, and performing a monitoring system action.

Abstract: A robotic rover that is configured to monitor a property is disclosed. In one aspect, the rover includes a sensor that is configured to generate sensor data. The rover further includes a processor that is configured to analyze the sensor data. The processor is further configured to determine that an unwanted animal is located at the property. The processor is further configured to generate an instruction to navigate the drone towards the unwanted animal. The rover further includes a motor that is configured to navigate the drone towards the unwanted animal in response to the instruction to navigate the drone towards the unwanted animal. The processor is further configured to generate an instruction to activate a device that is configured to encourage the unwanted animal to leave the property.

Abstract: A computer implemented method including receiving, by a monitoring system that is configured to monitor a property and from an electronic pool device that is configured to monitor a swimming pool at the property, sensor data, analyzing, by the monitoring system, the sensor data, based on analyzing the sensor data, generating, by the monitoring system, an instruction to activate a camera of the electronic pool device, providing, by the monitoring system to the electronic pool device, the instruction to activate the camera, receiving, by the monitoring system from the electronic pool device, image data, analyzing, by the monitoring system, the image data, based on analyzing the image data, identifying a monitoring system action to perform, and performing the monitoring system action.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for using a drone to test a sensor. In one aspect, the method includes actions of detecting a message (i) broadcast by the drone and (ii) indicating that the drone is going to administer a test of a sensor, determining, by the monitoring system and based on the message and (i) sensor data generated by the sensor in response to the administration of the test, by the drone, within a predetermined period of time of the message or (ii) a lack of sensor data generated by the sensor in response to the administration of the test, by the drone, within a predetermined period of time of the message, whether the sensor is functioning properly, and in response to a determination that the sensor is not functioning properly, storing data indicating that the sensor is not functioning properly.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for reduction of false detections using an ultrasound emitter. One of the methods includes obtaining sensor data captured by a sensor of a property monitoring system; detecting an object represented by the sensor data; determining that the object represented by the sensor data is likely a non-object of interest and being detected as an object of interest; and in response to determining that the object represented by the sensor data is likely the non-object of interest and being detected as the object of interest, sending, to an ultrasound emitter, a command to cause the ultrasound emitter to emit ultrasonic sound around the sensor.

Abstract: A monitoring system that is configured to monitor a property is disclosed. In one aspect, the monitoring system includes one or more sensors that are located throughout the property and that are configured to generate sensor data. The monitoring system further includes a drone that is configured to move throughout the property and generate additional sensor data. The monitoring system further includes a drone dock that is configured to receive the drone, wherein the drone is configured to continue generating the additional sensor data while the drone dock is receiving the drone. The monitoring system further includes a monitor control unit that is configured to receive the sensor data and the additional sensor data, analyze the sensor data and the additional sensor data, determine a status of the property, and provide, for output, data indicating the status of the property.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for enabling drone activity in a property monitored by a property monitoring system without triggering a false alarm. In one aspect, the method includes actions of obtaining a location of the drone, identifying a first sensor installed at the property that is within a predetermined distance of the drone, detecting first sensor data generated by the first sensor that is within a predetermined distance of the drone, wherein the first sensor data includes data that is indicative of an event, determining whether a second sensor that is mounted to the drone is generating second sensor data that corroborates the event indicated by the first sensor data, and disregarding, by the property monitoring system, the first sensor data in determining whether to trigger an alarm.

Abstract: A computer-implemented method including receiving, by a monitoring system that is configured to monitor a property and from a touchless doorbell device that includes a camera and a motion sensor, an image, analyzing, by the monitoring system, the image, based on analyzing the image, determining that the image likely includes a representation of a person, and based on determining that the image likely includes a representation of a person, performing a monitoring system action.

Abstract: A monitoring system that is configured to monitor a property is disclosed. In one aspect, the monitoring system includes one or more sensors that are located throughout the property and that are configured to generate sensor data. The monitoring system further includes a drone that is configured to move throughout the property and generate additional sensor data. The monitoring system further includes a drone dock that is configured to receive the drone, wherein the drone is configured to continue generating the additional sensor data while the drone dock is receiving the drone. The monitoring system further includes a monitor control unit that is configured to receive the sensor data and the additional sensor data, analyze the sensor data and the additional sensor data, determine a status of the property, and provide, for output, data indicating the status of the property.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for enabling drone activity in a property monitored by a property monitoring system without triggering a false alarm. In one aspect, the method includes actions of obtaining a location of the drone, identifying a first sensor installed at the property that is within a predetermined distance of the drone, detecting first sensor data generated by the first sensor that is within a predetermined distance of the drone, wherein the first sensor data includes data that is indicative of an event, determining whether a second sensor that is mounted to the drone is generating second sensor data that corroborates the event indicated by the first sensor data, and disregarding, by the property monitoring system, the first sensor data in determining whether to trigger an alarm.

Abstract: A computer-implemented method including receiving, by a monitoring system that is configured to monitor a property and from a touchless doorbell device that includes a camera and a motion sensor, an image, analyzing, by the monitoring system, the image, based on analyzing the image, determining that the image likely includes a representation of a person, and based on determining that the image likely includes a representation of a person, performing a monitoring system action.

Abstract: Methods, systems, apparatus, including computer programs encoded on a computer storage medium, for returning a drone to a drone dock. In one aspect, a method includes detecting, by the drone and using a drone-mounted light detection unit, a first light signal and a second light signal generated by one of a plurality of visible light communication devices coupled to the drone dock, obtaining, by the drone, location information based on the first detected light signal and the second detected light signal, determining, by the drone, a position of the drone relative to the drone dock based on the obtained location information, and adjusting, by the drone, the navigation path of the drone in a manner that alters an alignment of at least a portion of the drone relative to the drone dock based on the determined position.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for using a drone to test a sensor. In one aspect, the method includes actions of detecting a message (i) broadcast by the drone and (ii) indicating that the drone is going to administer a test of a sensor, determining, by the monitoring system and based on the message and (i) sensor data generated by the sensor in response to the administration of the test, by the drone, within a predetermined period of time of the message or (ii) a lack of sensor data generated by the sensor in response to the administration of the test, by the drone, within a predetermined period of time of the message, whether the sensor is functioning properly, and in response to a determination that the sensor is not functioning properly, storing data indicating that the sensor is not functioning properly.

Abstract: A method includes generating, by a camera of a monitoring system that is configured to monitor a property, first image data at a first time, analyzing the first image data, determining that the first image data includes a first object that likely corresponds to a person, generating, second image data at a second, later time, analyzing the second image data, determining that the second image includes a second object that likely corresponds to a person, comparing the first object that likely corresponds to a person to the second object that likely corresponds to a person, based on comparing the first object that likely corresponds to a person to the second object that likely corresponds to a person and based on a difference between the first time and the second, later time, determining that a person is likely moving towards the camera, and performing a monitoring system action.

Abstract: A computer implemented method including receiving, by a monitoring system that is configured to monitor a property and from an electronic pool device that is configured to monitor a swimming pool at the property, sensor data, analyzing, by the monitoring system, the sensor data, based on analyzing the sensor data, generating, by the monitoring system, an instruction to activate a camera of the electronic pool device, providing, by the monitoring system to the electronic pool device, the instruction to activate the camera, receiving, by the monitoring system from the electronic pool device, image data, analyzing, by the monitoring system, the image data, based on analyzing the image data, identifying a monitoring system action to perform, and performing the monitoring system action.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for using a drone to test a sensor. In one aspect, the method includes actions of detecting a message (i) broadcast by the drone and (ii) indicating that the drone is going to administer a test of a sensor, determining, by the monitoring system and based on the message and (i) sensor data generated by the sensor in response to the administration of the test, by the drone, within a predetermined period of time of the message or (ii) a lack of sensor data generated by the sensor in response to the administration of the test, by the drone, within a predetermined period of time of the message, whether the sensor is functioning properly, and in response to a determination that the sensor is not functioning properly, storing data indicating that the sensor is not functioning properly.