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 indicates an attribute of the property; a floor sensor that is configured to generate floor sensor data that indicates an amount of pressure applied to a portion of a floor of the property; and a monitor control unit. The monitor control unit is configured to receive, from the sensor, the sensor data; receive, from the floor sensor, the floor sensor data; analyze the sensor data and the floor sensor data; and based on analyzing the sensor data and the floor sensor data, perform a monitoring system action.

Abstract: A method for granting guest access to a control device includes detecting, by a monitoring control unit, a new connection of a guest device to a network, transmitting, by the monitoring control unit and to an authorized device, a request to grant access to the guest device to control a monitoring system, in response to the request, receiving, by the monitoring control unit, approval to grant access to the guest device to control the monitoring system, and in response to the approval, transmitting, by the monitoring control unit and to the guest device, (i) data that allows the guest device to access a web service and (ii) a temporary authentication token.

Abstract: Techniques are described for energy scoring of a monitored property and users of the monitored property. A system provides users with information related to the efficiency of the monitored property and aggregates data over multiple monitored properties. The system computes and outputs a score for a monitored property that reflects efficiency of the property and/or the users of the property. The system may track how that score changes through time, and how it relates to neighboring properties. The score may be expressed as both a number and a percentile.

Abstract: Systems and techniques are described for tracking guard tours. In some implementations, the techniques include the actions of receiving data indicating an initiation of a guard tour at the property and by a user, where the guard tour defines a path that includes one or more checkpoints with which the user is instructed to interact. The actions further include analyzing the sensor data. The actions further include determining a location of the user conducting the guard tour at the property. The actions further include based on the location of the user and the path of the guard tour, determining that the user is not following the path of the guard tour. The actions further include based on determining that the user is not following the path of the guard tour, providing, for output, data indicating that the user is not following the path of the guard tour.

Abstract: A smart bar lock that includes a pole with a length that corresponds to a length of an area that a sliding portion of a sliding door slides along, a motorized hinge coupled to an end of the pole, where the motorized hinge is configured to rotate to the pole by the end of the pole, and a processor. The processor is configured to perform operations of determining to lock the sliding door, moving the pole from a vertical position into a horizontal position with the motorized hinge, determining to unlock the sliding door while leaving the sliding door closed, and moving the pole into the vertical position with the motorized hinge.

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: 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, for a monitoring system that is configured to hail a car from a ride-sharing service. The method comprises determining, based on sensor data from one or more sensors at the property, that a person located at the property is preparing to leave the property, based on historical sensor data, an estimated time that the person will depart the property, determining, based on the estimated time that the person will depart the property, whether a suitable vehicle from a ride-sharing service will be within a predetermined vicinity of the property within a predetermined amount of time of the estimated time that the person will depart the property, receiving data indicating that the person is leaving the property and based on receiving the data indicating that the person is leaving the property, notifying the person that the suitable vehicle is available pick the person up.

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 power connection for a smart lock device including a strike plate that is mounted to a door frame, the strike plate having one or more spring contacts in a recessed portion of the strike plate, a back portion of the strike plate that is connected to a power source, wherein the one or more spring contacts in the recessed portion of the strike plate are connected to the power source via an electrical wiring, and a smart lock device that is mounted to a door, the smart lock device including a deadbolt that is configured to extend from a side portion of the door, where the one or more spring contacts in the recessed portion of the strike plate are configured to align with one or more conductive segments of the deadbolt.

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, 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: 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: 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: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for modular electrical grid communications platform. In some implementations, a devices includes a housing that forms an interior space, and that includes an exterior surface, one or more pass-through regions that each define a through-hole between the interior space and the exterior surface, and a recess at the exterior surface that is capable of receiving a module. The device includes a printed circuit board disposed within the interior space of the housing. The devices includes a module that has at least one sensor and that is placed in the recess. The device includes electrical connections that each have a first end connected to the printed circuit board, and a second end that directly or indirectly contacts a corresponding component of the module.

Abstract: Techniques are described for presenting events detected by a monitoring system. A system receives a selection of a particular time period, identifies security events detected by a monitoring system during the selected time period, and classifies a subset of the identified security events as abnormal events. The system further generates a density of the identified security events over the selected time period, generates a density of the subset of the identified security events classified as abnormal events, and identifies monitoring system data associated with the selected time period. The system additionally generates a graphical representation of the density of the identified security events, the density of the subset of the identified security events classified as abnormal events, and the identified monitoring system data, and provides the graphical representation for display.

Abstract: A retrofit control of a ductless mini-split system (DMSS) for use in relation to temperature monitoring within a property. Data indicating a command is transmitted to a controller associated with a ductless mini-split system. The command causes the controller to configure an operation to be performed by the ductless mini-split system. Power output associated with the ductless mini-split system is monitored based on transmitting the data indicating the command. A determination that the operation has been performed by the ductless mini-split system is made based on monitoring the power output. Data indicating that the operation has been performed by the ductless mini-split system is provided for output.

Abstract: Medication management and reporting technology, in which output from at least one sensor configured to sense physical activity in a building in which medication of a patient is located is monitored and a determination is made to capture one or more images of the medication based on the monitoring. A camera is used to capture an image of the medication and the captured image is analyzed to detect a state of the medication. Information regarding a schedule by which the medication should be taken by the patient is accessed and an expected state of the medication is determined. The detected state is compared with the expected state and a determination is made that the patient has departed from the schedule based on the comparison revealing that the detected state does not match the expected state. A message indicating the departure from the schedule is sent based on the determination.

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: Techniques are described for providing remote device (e.g., thermostat, lighting, appliance, etc.) control and/or energy monitoring. A system monitors sensor data captured by one or more sensors that sense attributes relevant to user presence at one or more monitored properties and status of one or more energy consuming devices associated with the one or more monitored properties. The system analyzes the monitored sensor data and the monitored device status with respect to a set of one or more rules and performs an operation related to controlling the one or more energy consuming devices based on the analysis of the monitored sensor data and the monitored device status with respect to the set of one or more rules.