Abstract: Techniques and systems are described for creating and operating a vibration triangulation network. The network can include vibration sensor devices placed in a building, such as a store or a house, which are able to pinpoint the location of a target, e.g., person, animal, etc., through triangulation. A described technique includes receiving vibration notifications from vibration sensor devices, determining a location of a target within the building based on at least a portion of the vibration notifications and a vibration sensor map associated with the building, and triggering an alarm event based on a detection of the target.

Abstract: Methods, systems, and apparatus for extended training data sets for neural network-based IT solutions. In one aspect, a method includes collecting, support data generated during multiple support events including a corpus of articles referenced during the support event. Within the corpus of articles, restricted and unrestricted articles referenced in the support data and restricted and unrestricted articles not referenced in the support data are identified. Embedded vectors are generated for each article that is referenced in the support data from the article and a subset of the support data that references the article, and for each article that is not referenced by the support data, an embedded vector from only the article. A dimensionality of the embedded vectors is reduced and a neural network is trained using the embedded vectors to select a particular article of the corpus of articles responsive to a new support event.

Abstract: Methods, systems, and apparatus for video analytics evaluation are disclosed. A method includes: identifying a video to display a result of an evaluation of video analysis; identifying a particular time in the video when a video analysis determination does not match a ground truth determination for the video; displaying an image from the particular time in the video; and displaying an indication that the video analysis determination does not match the ground truth determination for the video. Displaying the image from the particular time in the video can include generating a graphical user interface for presentation on a display of a computing device. The indication that the video analysis determination does not match the ground truth determination for the video can include a user-selectable icon. In response to a user selecting the user-selectable icon, the method can include displaying video analysis results for the particular time in the video.

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 the property; a solar panel that is configured to generate and output power; and a monitor control unit. The monitor control unit is configured to: monitor the power outputted by the solar panel; determine that the power outputted by the solar panel has deviated from an expected power range; based on determining that the power outputted by the solar panel has deviated from the expected power range, access the sensor data; based on the power outputted by the solar panel and the sensor data, determine a likely cause of the deviation from the expected power range; and determine an action to perform to remediate the likely cause of the deviation from the expected power range.

Abstract: Systems and techniques are described for an integrated security environment to monitor activities at a commercial facility and a residential facility. In some implementations, a monitoring system monitors a property that includes one or more sensors located at the property and generate sensor data. A monitor control unit receives and analyzes the sensor data. Based on analyzing the sensor data, the monitor control unit determines that an event has likely occurred at the property and generates data indicating that the event has likely occurred at the property. A monitoring server receives the data indicating the event has likely occurred at the property. Based on the data that the event has likely occurred at the property, transmitting, to an additional monitoring system that is configured to monitor an additional property, instructions for the additional monitoring system to perform an action.

Abstract: Mesh network resiliency technology, in which a first routing configuration for nodes of a mesh network is determined, the first routing configuration being appropriate when a first power source of the mesh network is available. Routing data that indicates routing responsibilities within the first routing configuration is provided to first nodes of the mesh network. An interruption of the first power source for the mesh network is detected by nodes of the mesh network. In response to detecting the interruption, a second routing configuration for nodes of the mesh network is determined, the second routing configuration being appropriate when the first power source of the mesh network is unavailable. Routing data that indicates routing responsibilities within the second configuration is provided to second nodes of the mesh network, each of the second nodes including a second power source that is different than the first power source.

Abstract: Techniques are described for using information from a knob sensor of an appliance in a property monitoring system. In some implementations, a monitoring system may be configured to receive sensor information from a knob, receive monitoring device information from a monitoring device and, based on the sensor information from the knob, identify a knob event. The monitoring system may integrate the knob event with the monitoring device information and analyze the integrated knob event and monitoring device information against one or more rules related to usage of the appliance in view of the state of the property. Based on analyzing the integrated knob event and monitoring device information, the monitoring system may determine whether to perform an action, such as notifying a user or activating an appliance.

Abstract: Methods, systems, and apparatus for monitoring humidity at a property are disclosed. A monitoring system performs operations including: obtaining, from multiple humidity sensors within the property, humidity data; obtaining occupancy data that indicates whether people are within the property; determining, based on the humidity data and the occupancy data, that humidity in a first area of the property changed more relative to a change in humidity in a second area of the property during a time period when no person was present in the first area and no person was present in the second area; and in response to determining that humidity in the first area changed more relative to a change in humidity in a second area of the property during the time period, providing an indication of a water leak in the first area of the property to a user.

Abstract: Techniques are described for detecting and handling unauthenticated commands in a property monitoring system. In some implementations, a monitoring system may include sensors located throughout a property, a monitoring control unit, and an input device. The monitoring control unit may be configured to receive data collected by the sensors, as well as an input command detected by the input device. For an input command that does not include authentication information, the monitoring control unit may generate property state information based on the sensor data, then analyze the property state data and the input command against one or more rules that relate to authorization of unauthenticated commands. Based on the analysis, the monitoring control unit may determine whether to perform the action corresponding to the input command or whether to perform another action, for example, generating and providing a notification or authorization request to a user.

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: 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 a security system with dynamic insurance integration. In some implementations, a security token is generated in response to a user requesting a risk assessment. The security token is provided to a third-party server. A request from the third-party server for monitoring data collected by a security system associated with the user is received. Monitoring data is provided to the third-party server. An indication of the risk assessment from the third-party server is received.

Abstract: Methods, systems, and apparatus for periodic water leak detection are disclosed. A method includes obtaining, using a water meter, water meter data representing the occurrence of water usage events at a property; determining, based on the water meter data, a periodicity of water usage events; determining that the periodicity of water usage events satisfies water leak criteria; and based on determining that the periodicity of water usage events satisfies water leak criteria, determining that a water leak exists at the property. Determining the periodicity of water usage events can include determining an average time between a start of sequential water usage events; and determining that the periodicity of water usage events satisfies water leak criteria can include determining that the average time between the start of sequential water usage events is less than a threshold time between the start of sequential water usage events.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for integrating one or more light switch panels into a monitoring system. The methods, systems, and apparatus include actions of determining to communicate a non-traditional file to a z-wave capable device, communicate a first data packet to the z-wave capable device, based on communicating the first data packet to the z-wave capable device, alter a schedule command class payload of a second data packet to include a first portion of the non-traditional file, alter a schedule command class payload of a third data packet to include a second portion of the non-traditional file, and alter a schedule command class payload of a fourth data packet to include a third portion of the non-traditional file, and communicate, to the z-wave capable device, the altered second data packet, the altered third data packet, and the altered fourth data packet.

Abstract: A method includes obtaining historical event data for events detected over a past period of time by sensors within a property, receiving a set of current event data for one or more events detected by one or more of the sensors within the property, determining that the set of current event data matches a pattern of events indicated by the historical event data, generating, based on the pattern of events, a confidence score for the set of current event data, wherein the confidence scores reflects a confidence that a person is not within the property, determining that the confidence score satisfies a confidence threshold associated with an action to be performed when a person is not within the property, and triggering execution of the action.

Abstract: Techniques are described for handling an event where a control panel or an alarm signaling device is tampered with or destroyed by a disablement tactic, e.g., a “crash and smash intrusion.

Abstract: Techniques are described for enabling a service administrator to respond to a detected doorbell press at a property when an authorized user is unavailable to respond. In some implementations, a determination that a doorbell press has been detected at a property is made. Video data collected by a doorbell device of the property is obtained in response to determining that the doorbell press has been detected at the property. Sensor data collected by one or more sensors of a monitoring system located within the property is obtained in response to determining that the doorbell press has been detected at the property. A present security risk for the property is determined based at least on the obtained sensor data and the obtained video data. A communication session between the doorbell device and a server system associated with the monitoring system of the property is established in response to determining the present security risk for the property.

Abstract: A monitoring system is configured to monitor a property. The monitoring system includes a property sensor that is configured to generate property sensor data that reflects an attribute of the property. The monitoring system includes a vehicle sensor that is configured to generate vehicle sensor data that reflects an attribute of a vehicle associated with the property. The monitoring system includes a monitor control unit that is configured to analyze the property sensor data and the vehicle sensor data. The monitor control unit is further configured to, based on analyzing the property sensor data and the vehicle sensor data, determine that an event associated with the vehicle has likely occurred. The monitor control unit is further configured to, based on determining that the event associated with the vehicle has likely occurred, determine a monitoring system action. The monitor control unit is further configured to perform the monitoring system action.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for monitoring a vehicle are disclosed. A vehicle monitoring system for monitoring a vehicle includes one or more processors and one or more computer storage media storing instructions that are operable, when executed by the one or more processors, to cause the one or more processors to perform operations. The operations include: receiving, from a vehicle occupancy monitor and by the vehicle monitoring system, vehicle occupancy data that indicates presence of a vehicle occupant; receiving, by the vehicle monitoring system and from a sensor, sensor data that indicates an attribute of the vehicle; analyzing, by the vehicle monitoring system, the vehicle occupancy data and the sensor data; and based on analyzing the vehicle occupancy data and the sensor data, performing a vehicle monitoring system action.

Abstract: Systems and techniques are described for monitoring screen activity of a computing device and performing designated system actions based on the monitored activity. In some implementations, activity data indicating usage of a computing device by a user within a property over a particular time period is obtained. Sensor data collected by a monitoring system that monitors the property over the particular time period is then obtained. An activity monitoring rule that specifies (i) one or more conditions associated with usage of the computing device by the user, and (ii) an action to perform in response to satisfaction of the one or more conditions is identified. A determination that the activity data and the sensor data satisfy the one or more conditions specified by the activity monitoring rule is made. The action specified by the activity monitoring rule is then performed in response to the determination.