Abstract: A computer-implemented method includes obtaining an image of an area of a property from an augmented reality device, identifying the area of the property based on the image obtained from the augmented reality device, determining that the area of the property corresponds to an event at the property or a configuration of a monitoring system of the property, and providing, in response to determining that the area of the property corresponds to the event or the configuration, information that represents the event or the configuration and that is configured to be displayed on the augmented reality device.

Abstract: Methods and systems including computer programs encoded on a computer storage medium, for obtaining imaging data of a parking lot that includes a set of parking spots, detecting a vehicle enter the parking lot, generating a vehicle recognition model for the vehicle, determining that the vehicle is parked in a parking spot, detecting a customer exit the vehicle, generating a customer recognition model for the customer, determining that the customer has entered a business of one or more businesses affiliated with the parking lot, and providing information related to parking space usage for the parking spot and the business to a user device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for geolocation polling. The methods, systems, and apparatus include actions of receiving a location update from a user device of a user, determining an earliest time of arrival of the user to a home, determining, based on the earliest time of arrival, a time interval for a next location update, and providing instructions to the user device of the time interval for a next location update.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for monitoring of pet feeding. The methods, systems, and apparatus include actions of: obtaining a first reference image of a container corresponding to a full state of the container; obtaining a second reference image of the container corresponding to an empty state of the container; obtaining a sample image of the container; based on the first and second reference images, determining an amount of content in the container from the sample image; and based on the amount of the content being less than a reference amount, notifying a user that the amount of the content is getting low.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for canine assisted home monitoring. The methods, systems, and apparatus include actions of: obtaining a reference signal from an animal at a property; determining whether an event occurred at the property corresponding to when the reference signal from the animal was received; in response to a determination that the event occurred at the property corresponding to when the reference signal from the animal was received, determining that the reference signal indicates that the event is likely occurring at the property; obtaining a sample signal from the animal at the property; determining whether the sample signal corresponds to the reference signal; and notifying a user that the event, which was determined to be indicated by the reference signal, is likely occurring again at the property.

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: A computer-implemented method includes obtaining an image of an area of a property from an augmented reality device, identifying the area of the property based on the image obtained from the augmented reality device, determining that the area of the property corresponds to an event at the property or a configuration of a monitoring system of the property, and providing, in response to determining that the area of the property corresponds to the event or the configuration, information that represents the event or the configuration and that is configured to be displayed on the augmented reality device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for geolocation polling. The methods, systems, and apparatus include actions of receiving a location update from a user device of a user, determining an earliest time of arrival of the user to a home, determining, based on the earliest time of arrival, a time interval for a next location update, and providing instructions to the user device of the time interval for a next location update.

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, 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: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for monitoring system with a video analytic enhanced pet door. The methods, systems, and apparatus include actions of obtaining video from a camera, determining from the video that an object is approaching the camera, in response to determining from the video that an object is approaching the camera, determining whether the object is an animal, in response to determining that the object is an animal, determining from the video whether the animal is authorized to enter a home, and in response to determining from the video that the animal is authorized to enter the home, opening a pet door.

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: 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, and apparatus, including computer programs encoded on a computer storage medium, for preserving privacy in surveillance. The methods, systems, and apparatus include actions of obtaining images of a scene captured by a camera, identifying an object in the images through object recognition, determining that the object that is identified in the images is of a particular type that has a privacy restriction, and in response to determining that the object in the images is of the particular type that has the privacy restriction, obfuscating an appearance of the object in the images.

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 and systems including computer programs encoded on a computer storage medium, for receiving, from a camera, an image in which the camera detected a particular event based on a first set of camera settings, determining, from the image, that the image is a false positive as the camera falsely detected the particular event, determining that a number of images uploaded by the camera that are false positives satisfies a camera setting generation criteria, and in response, generating a second set of camera settings and providing the second set of camera settings to the camera.

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: 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 home, determining from the reference videos that a particular person routinely leaves the home with a particular object at a particular time of day, determining from a sample video from the camera within the home that the particular person appears to be leaving the home without the particular object at the particular time of day, and in response, providing a notification regarding the particular object.

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.