Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for visual authentication. In some implementations, a method may include obtaining images of a person at a property; detecting a discontinuity in an appearance of the person in the images of the person at the property; determining that the discontinuity does not correspond to a known occlusion; and providing an indication of a potential spoofing attack.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, are described for performing automated mapping of sensors at a location of a property. A monitoring server of a system for monitoring a property obtains mapping information that indicates navigable areas at the property. A drone that communicates with the monitoring server is used to navigate the property. In response to the drone navigating the property, sensors and their respective location at each navigable areas are identified based on the mapping information. The monitoring server associates sensors at each area with a corresponding location of the sensor in a data model of the property. Labels descriptive of the respective sensors are generated based on the location of the identified sensors. The monitoring server determines a mapping of a label to a respective sensor associated with the data model of the property.

Abstract: Methods, systems, and apparatus for drone navigation within a property. A method includes detecting an obstacle in a navigation path of a drone, determining a classification of the obstacle, determining whether to temporarily land based on the classification of the obstacle, and temporarily landing the drone until the obstacle clears the navigation path of the drone.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for using a drone to identify a wireless network problem and initiate performance of one or more operations or actions that address the wireless network problem, the drone comprising a processor and a storage device, the storage device storing instructions that, when executed by the processor, cause the processor to perform operations comprising receiving, by the drone, an instruction to analyze a wireless network of a property, responsive to the instruction to analyze the wireless network, traveling, by the drone, to one or more zones of the property, determining, by the drone and based on an analysis of one or more characteristics of the wireless network, that a wireless network problem exists, and based on the determination that the wireless network problem exists, performing, by the drone, one or more operations directed to addressing the wireless network problem.

Abstract: Techniques are described for configuring a monitoring system to assist users during a detected emergency condition at a property. In some implementations, sensor data from one or more sensors that are located at the property are obtained by a monitoring system that is configured to monitor the property. A determination that there is an emergency condition at the property is made by the monitoring system based on the sensor data, determining. A location of a person inside the property is determined by the monitoring system based on the sensor data. A first path to the person and a second path to guide the person away from the emergency condition are determined by the monitoring system. The first path to the person and the second path to guide the person away from the emergency condition are navigated by a computing device of the monitoring system.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for lighting adaptive navigation. In some implementations, a method includes receiving map data associated with a property; obtaining sensor data; based on the map data and the sensor data, determining a lighting scenario; and based on the lighting scenario, configuring the robotic device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for receiving a request to deploy an aerial drone to assist an emergency vehicle from a first location to a second location; determining a route to be traversed by the emergency vehicle from the first location to the second location based on the request; and deploying the aerial drone to traverse the route in advance of the emergency vehicle.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for using a drone to identify a wireless network problem and initiate performance of one or more operations or actions that address the wireless network problem, the drone comprising a processor and a storage device, the storage device storing instructions that, when executed by the processor, cause the processor to perform operations comprising receiving, by the drone, an instruction to analyze a wireless network of a property, responsive to the instruction to analyze the wireless network, traveling, by the drone, to one or more zones of the property, determining, by the drone and based on an analysis of one or more characteristics of the wireless network, that a wireless network problem exists, and based on the determination that the wireless network problem exists, performing, by the drone, one or more operations directed to addressing the wireless network problem.

Abstract: Techniques are described for configuring a monitoring system to assist users during a detected emergency condition at a property. In some implementations, sensor data from one or more sensors that are located at the property are obtained by a monitoring system that is configured to monitor the property. A determination that there is an emergency condition at the property is made by the monitoring system based on the sensor data, determining. A location of a person inside the property is determined by the monitoring system based on the sensor data. A first path to the person and a second path to guide the person away from the emergency condition are determined by the monitoring system. The first path to the person and the second path to guide the person away from the emergency condition are navigated by a computing device of the monitoring system.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for visual authentication. In some implementations, a method may include obtaining images of a person at a property; detecting a discontinuity in an appearance of the person in the images of the person at the property; determining that the discontinuity does not correspond to a known occlusion; and providing an indication of a potential spoofing attack.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for drone-assisted thermal monitoring. One of the methods includes determining a first temperature measurement at a first location of a property, navigating from the first location to a second location of the property, determining a second temperature measurement at the second location, generating a thermal model for the property based on the first temperature measurement and the second temperature measurement, and providing the thermal model for output.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for receiving a request to deploy an aerial drone to assist an emergency vehicle from a first location to a second location; determining a route to be traversed by the emergency vehicle from the first location to the second location based on the request; and deploying the aerial drone to traverse the route in advance of the emergency vehicle.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for visual authentication. In some implementations, a method may include obtaining images of a person at a property; detecting a discontinuity in an appearance of the person in the images of the person at the property; determining that the discontinuity does not correspond to a known occlusion; and providing an indication of a potential spoofing attack.

Abstract: Techniques are described for enabling a drone device to use a dynamic multi-dimensional spatial representation of an indoor property environment to improve autonomous navigation. In some implementations, an instruction to perform an action at a particular location of a property is received by a drone device. A spatial representation of the property that identifies a dynamic object is obtained by the drone device. The status of the dynamic object impacts an ability of the drone device to navigate near the dynamic object. Sensor data collected by one or more sensors of a monitoring system of the property and that indicates a present status of the dynamic object is obtained by the drone device. A path to the particular location is determined by the drone device. The path to the particular location is finally navigated by the drone device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for drones. In some implementations, a method may include obtaining an image of an electrical device; determining a power source of the electrical device based on the image of the electrical device; determining whether the power source of the electrical device is capable of charging a drone based on the image of the electrical device; and based on determining that the power source of the electrical device is capable of charging the drone based on the image of the electrical device, charging the drone with the power source.

Abstract: Methods, systems, and apparatus for drone landing ground station. A method includes determining that a drone is landing on a ground station, based on determining that the drone is landing on the ground station, determining a magnetic field to generate at a first magnetic component at a first position in the ground station and an opposing magnetic polar at a second magnetic component at a second position in the ground station, and generating the magnetic field at the first magnetic component and the opposing magnetic field at the second magnetic component.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining that current data captured at a current location of a drone satisfies localization adjustment criteria; in response to determining that the current data captured at the current location of the drone satisfies the localization adjustment criteria, identifying previously captured image data; determining a previous expected location of the drone based on both an expected change in location of the drone and a first previous location determined from other image data captured before the previously captured image data; determining a location difference between the previous expected location of the drone and a second previous location determined from the previously captured image data; and determining the current location of the drone based on the location difference.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for a mobile docking station. In some implementations, a method for a mobile docking station includes receiving a service request from a first user; determining assignment details based on the service request; determining a plurality of devices to send to a location based on the assignment details; deploying the plurality of devices to the location; receiving data from a first device of the plurality of devices; based on the data, scheduling a pickup of the first device; and deploying a second device for the pickup of the first device.

Abstract: Techniques are described for using sensor-based objection recognition and property condition monitoring techniques to automate and improve methods of navigating a property during a property tour. In some implementations, sensor data is received from one or more sensors that are located within a property. Property data that identifies characteristics of the property is received. A model of the property is generated. Authentication data that identifies users who are authorized to access the property is received. Data identifying a visiting user is received. The data identifying the visiting user is compared to the authentication data. The visiting user is determined to be authorized to access the property. Preference data that indicates preferences of the visiting user is accessed. A path to guide the user around the property is generated based on the model of the property and the preferences of the visiting user.

Abstract: Techniques are described for configuring a monitoring system to assist users during a detected emergency condition at a property. In some implementations, sensor data from one or more sensors that are located at the property are obtained by a monitoring system that is configured to monitor the property. A determination that there is an emergency condition at the property is made by the monitoring system based on the sensor data, determining. A location of a person inside the property is determined by the monitoring system based on the sensor data. A first path to the person and a second path to guide the person away from the emergency condition are determined by the monitoring system. The first path to the person and the second path to guide the person away from the emergency condition are navigated by a computing device of the monitoring system.