Abstract: A monitoring system is configured to monitor a property. The monitoring system includes a camera, a sensor, and a monitor control unit. The monitor control unit is configured to receive image data and sensor data. The monitor control unit is configured to determine that the image data includes a representation of a person. The monitor control unit is configured to determine an orientation of a representation of a head of the person. The monitor control unit is configured to determine that the representation of the head of the person likely includes a representation of a face of the person. The monitor control unit is configured to determine that the face of the person is likely concealed. The monitor control unit is configured to determine a malicious intent score that reflects a likelihood that the person has a malicious intent. The monitor control unit is configured to perform an action.

Abstract: Methods, systems, apparatus, and computer programs, for tracking objects are disclosed. In one aspect, a method is disclosed that includes actions of obtaining an image, determining that a user of a first monitoring system has opted-in for object tracking by a second monitoring system that is remote from the first monitoring system, and based on a determination that the user of the first monitoring system has opted-in for object tracking: determining whether the obtained image satisfies a predetermined level of similarity to a stored tracking object image model stored on a first device of the first monitoring system, and based on a determination that the obtained image satisfies a predetermined level of similarity to the stored tracking object image model, generating a tracking update notification, and transmitting the tracking update notification to the second monitoring system that is remote from the first monitoring system.

Abstract: A monitoring system that is configured to monitor a property is disclosed. The monitoring system includes a sensor that is configured to generate sensor data that reflects an attribute of a property. The monitoring system further includes a drone that generates image data, location data, and orientation data. The monitoring system further includes a monitor control unit. The monitor control unit is configured to receive the sensor data, the location data, and the orientation data. The monitor control unit is configured to determine that an event has occurred at the property and a location of the event within the property. The monitor control unit is configured to generate a graphical overlay based on the event, the location data, and the orientation data. The monitor control unit is configured to generate a graphical interface. The monitor control unit is configured to output the graphical interface.

Abstract: Systems and techniques are described for supervising and monitoring the delivery of a package to a property. In some implementations, shipment data indicating a package to be delivered at the property and identification information for a first person is obtained. A request for a second person to access the property and deliver the package that includes identification information for the second person is received. Identification information for the first person is compared to the identification information for the second person. Access to the property is provided to the second person. Sensor data generated by one or more sensors that are located throughout the property and while providing access to the property is obtained and analyzed. A determination of whether the second person delivered the package to the property is made based on analyzing the sensor data. Data indicating the determination is provided for output.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for machine learning for home understanding and notification. In one aspect, a method includes collecting activity data from one or more devices in a home network, generating a graph-based knowledge base including two or more nodes based on the activity data, where each node is an object, person, or routine and wherein each link is a relationship between two nodes, generating, based on the graph-based knowledge base, one or more rules, determining, based in part on the activity data, an occurrence of a particular rule of the one or more rules, generating a notification responsive to the particular rule, presenting the notification to a user, receiving, user feedback responsive to the notification, where the user feedback includes a natural language label for the particular rule, and updating the particular rule based on the user feedback.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for machine learning for home understanding and notification. In one aspect, a method includes obtaining reference videos from a camera within a premises of a home, determining, from the reference videos, timing of actions in a routine that a particular person performs before leaving the home, determining from a sample video from the camera within the home that the particular person appears to be out of sync in performing a particular action based on the timing of actions in the routine determined from the reference videos, and in response, providing a notification to the particular person.

Abstract: Techniques are described for assisted creation of video rules via scene analysis. In some implementations, a scene is obtained, a shape of an element in a ground plane shown in the images of the scene is identified, user input that defines a shape of a region of interest used in a video rule is obtained, that the shape of the region satisfies a reshape criteria based on the shape of the element in the ground plane shown in the images of the scene is determined, and a reshaped region based on the shape of the element in the ground plane shown in the images of the scene is determined.

Abstract: Methods, systems, apparatus, and computer programs, for tracking objects are disclosed. In one aspect, a method is disclosed that includes actions of obtaining an image, determining that a user of a first monitoring system has opted-in for object tracking by a second monitoring system that is remote from the first monitoring system, and based on a determination that the user of the first monitoring system has opted-in for object tracking: determining whether the obtained image satisfies a predetermined level of similarity to a stored tracking object image model stored on a first device of the first monitoring system, and based on a determination that the obtained image satisfies a predetermined level of similarity to the stored tracking object image model, generating a tracking update notification, and transmitting the tracking update notification to the second monitoring system that is remote from the first monitoring system.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, purging carbon monoxide (CO) from within a property. The methods, systems, and apparatus include actions of obtaining a reading from a carbon monoxide sensor in a property, determining that carbon monoxide in a property satisfies a carbon monoxide criteria based on the reading from the carbon monoxide sensor, obtaining a reading from a fire sensor, determining that a fire is not in the property based on the reading from the fire sensor, and in response to determining that carbon monoxide in the property satisfies the carbon monoxide criteria and that a fire is not in the property, triggering air in the property to be vented outside the property.

Abstract: Methods, systems, apparatus, and computer programs, for tracking objects are disclosed. In one aspect, a method is disclosed that includes actions of obtaining an image, determining that a user of a first monitoring system has opted-in for object tracking by a second monitoring system that is remote from the first monitoring system, and based on a determination that the user of the first monitoring system has opted-in for object tracking: determining whether the obtained image satisfies a predetermined level of similarity to a stored tracking object image model stored on a first device of the first monitoring system, and based on a determination that the obtained image satisfies a predetermined level of similarity to the stored tracking object image model, generating a tracking update notification, and transmitting the tracking update notification to the second monitoring system that is remote from the first monitoring system.

Abstract: A monitor control unit that is configured to receive, from the electronic pool device, the sensor data, compare the sensor data to a threshold, based on comparing the sensor data to a threshold, determine that the sensor data exceeds the threshold, based on determining that the sensor data exceeds the threshold, provide an instruction to initiate the capture of image data by the camera of the electronic pool device, receive, from the camera of the electronic pool device, the image data, analyze the image data, based on analyzing the image data, identify a monitoring system action to perform, and perform the monitoring system action.

Abstract: A computer implemented method, including receiving, by a monitoring system that is configured to monitor a property and from a first camera that is trained on a vicinity of an entry point of the property, first image data, determining that a visitor is located at the vicinity of the entry point of the property, generating, by the monitoring system, an appearance model of the visitor, receiving, by the monitoring system and from a second camera that is trained on an area of the property other than the vicinity of the entry point of the property, second image data, comparing, by the monitoring system, the second image data to the appearance model of the visitor, determining a confidence score that reflects a likelihood that the visitor is located at the area of the property other than the vicinity of the entry point, and performing a monitoring system action.

Abstract: A computer-implemented method includes obtaining a delivery schedule for a property, determining that a portable camera used by a visitor is at the property, determining that the portable camera corresponds to the delivery schedule, in response to determining that the portable camera corresponds to the delivery schedule, providing access to the property, and obtaining a video recorded by the portable camera.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing video controlled adjustment of light conditions at a property. A monitoring system obtains video data from a video recording device at the property and uses the video data to determine a location of a person at the property as well as a location of an electronic window treatment at the property. Using the video data, the system identifies an attribute of light entering a window at the property. The system determines an adjustment setting for the electronic window treatment at the property based on the attribute of the light and the location of the person at the property. Based on the adjustment setting, a command is provided to perform a first adjustment action that adjusts the position of the electronic window treatment located at the window.

Abstract: A monitor control unit that is configured to receive, from the electronic pool device, the sensor data, compare the sensor data to a threshold, based on comparing the sensor data to a threshold, determine that the sensor data exceeds the threshold, based on determining that the sensor data exceeds the threshold, provide an instruction to initiate the capture of image data by the camera of the electronic pool device, receive, from the camera of the electronic pool device, the image data, analyze the image data, based on analyzing the image data, identify a monitoring system action to perform, and perform the monitoring system action.

Abstract: Systems and techniques are described for supervising and monitoring the delivery of a package to a property. In some implementations, shipment data indicating a package to be delivered at the property and identification information for a first person is obtained. A request for a second person to access the property and deliver the package that includes identification information for the second person is received. Identification information for the first person is compared to the identification information for the second person. Access to the property is provided to the second person. Sensor data generated by one or more sensors that are located throughout the property and while providing access to the property is obtained and analyzed. A determination of whether the second person delivered the package to the property is made based on analyzing the sensor data. Data indicating the determination is provided for output.

Abstract: A computer implemented method, including receiving, by a monitoring system that is configured to monitor a property and from a first camera that is trained on a vicinity of an entry point of the property, first image data, determining that a visitor is located at the vicinity of the entry point of the property, generating, by the monitoring system, an appearance model of the visitor, receiving, by the monitoring system and from a second camera that is trained on an area of the property other than the vicinity of the entry point of the property, second image data, comparing, by the monitoring system, the second image data to the appearance model of the visitor, determining a confidence score that reflects a likelihood that the visitor is located at the area of the property other than the vicinity of the entry point, and performing a monitoring system action.

Abstract: A monitoring system that is configured to monitor a property is disclosed. The monitoring system includes a sensor that is configured to generate sensor data that reflects an attribute of a property. The monitoring system further includes a drone that generates image data, location data, and orientation data. The monitoring system further includes a monitor control unit. The monitor control unit is configured to receive the sensor data, the location data, and the orientation data. The monitor control unit is configured to determine that an event has occurred at the property and a location of the event within the property. The monitor control unit is configured to generate a graphical overlay based on the event, the location data, and the orientation data. The monitor control unit is configured to generate a graphical interface. The monitor control unit is configured to output the graphical interface.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for preventing false alarms due to display images. In one aspect, a monitoring system is disclosed that includes a processor and a computer storage media storing instructions that, when executed by the processor, cause the processor to perform operations. The operations can include obtaining, by the monitoring system, image data that depicts a portion of a property, determining, by the monitoring system, that the image data depicts an object, based on determining, by the monitoring system, that the image data depicts an object, determining, by the monitoring system, whether the depicted object is located within an exclusionary region of the property, and based on determining, by the monitoring system, that the depicted object is not located within an exclusionary region of the property, triggering, by the monitoring system, an event based on the image data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for generating a three-dimensional map of a property. The method includes storing at least a portion of an initial map modification data structure, receiving an instruction that instructs the robotic device to initiate property mapping, obtaining image data describing a portion of the property that is mounted to the robotic device, analyzing the obtained image data to determine whether the image data depicts a marker, in response to a determination that the obtained image data depicts a marker, determining the pose of the camera that is mounted to the robotic device, updating the initial map modification data structure using the pose of the camera that is mounted to the robotic device, obtaining an initial three-dimensional map of the property; and modifying the initial three-dimensional map of the property based on the updated map modification data structure.