Alarm.com Incorporated

Other

Microstrategy, Inc.

David James Hutz

Jean-Paul Martin

Stephen Scott Trundle

Alison Jane Slavin

Robert J McCarthy, Jr

Abraham Joseph Kinney

Donald Gerard Madden

Noah Robert Weingart

David Saul Goldfarb

Benjamin Asher Berg

Christopher Silverman

Allison Beach

Kyle Rankin Johnson

Daniel Todd Kerzner

Robert Leon Lutes

Fabian Emilio Philipe Camargo

Andrei Aurelian Furtuna

Matthew Flannery Knight

Weihong Yin

Thomas Rogers

Jeffrey A Bedell

Andrew Scanlon

Yang Yang Zheng

Dave Conger

Narayanan Ramanathan

Alexander Lawrence Reeder

Glenn Tournier

Caspar John Anderegg

Donald Faraci

Adam Gordon

Ronald Byron Kabler

Marc Anthony Epard

Ramkumar Ramachandran

Steven S Trundle

Luis V Orozco

Michael Codini

Murali Pasupuleti

Douglas F Meyer

Robert J Mccarthy

Techniques are described for tracking intruders of a monitored property by the unique identifying characteristics or 'digital fingerprints' of electronic devices carried by the intruders. A system detects an alarm event at a monitored property based on output from at least one sensor located at the monitored property. In response to detecting the alarm event at the monitored property, the system initiates a process to gather electronic identifiers for mobile electronic devices located within the monitored property at a time corresponding to the detected alarm event. The system determines electronic identifiers for the mobile electronic devices located within the monitored property at a time corresponding to the detected alarm event. The system stores in electronic storage, information indicating the determined electronic identifiers for the mobile electronic devices located within the monitored property at a time corresponding to the detected alarm event.

Digital fingerprint tracking

Image surveillance and reporting technology, in which an event that is indicative of potential physical activity within an area corresponding to a location of a camera unit is detected. In response to detection of the event, the camera unit is controlled to capture one or more images of the area corresponding to the location of the camera unit. The one or more images captured by the camera unit are analyzed to determine whether the one or more images include image data that is indicative of relevant physical activity within the area corresponding to the location of the camera unit. The one or more images are handled based on the determination of whether the one or more images include image data that is indicative of relevant physical activity within the area corresponding to the location of the camera unit.

Image surveillance and reporting technology

Monitoring system alert technology, in which monitoring system data is accessed from a monitoring system that is located in a property of a user and the monitoring system data is analyzed against one or more rules that define alerts provided for the monitoring system. Based on the analysis, a determination is made that an alert for the monitoring system is needed and conditions for providing the alert are accessed. Location of a mobile device of a user associated with the monitoring system and timing related to providing the alert are monitored. The monitored location of the mobile device and the monitored timing are analyzed with respect to the accessed conditions. Based on the analysis, a determination is made that the accessed conditions for providing the alert are met and the alert is output at the mobile device.

Location based alerts

An electronic monitoring system is described that receives data from a particular monitoring system, receives data from multiple other monitoring systems, analyzes data received from the particular monitoring system irrespective of data received from the multiple other monitoring systems, based on the analysis determines whether one or more events occur at the particular environment, and in response to determining that a particular event occurs at the particular environment, evaluates the particular event against a set of rules, selects, based on the evaluation results, a particular subset of the multiple other monitoring systems to serve as a cooperative monitoring network, assesses data received from the particular subset of the multiple other monitoring systems, based on the assessment, tracks, in connection with the particular event, events detected by the particular subset of the multiple other monitoring systems, and handles the particular event based on the tracked events.

Cooperative monitoring networks

Video monitoring and alarm verification technology, in which a first connection is established between a first device and a camera located in a monitored property associated with a user of the first device and image data captured by the camera is received over the first connection and at the first device. A determination is made to establish a second connection with a second device that enables sharing of the received image data with the second device and, in response to the determination, the second connection is established between the first device and the second device. The received image data is shared with the second device over the second connection and the second device is restricted from directly accessing image data captured by the camera located in the monitored property.

Video monitoring and alarm verification technology

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.

Entity path tracking and automation

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.

Remote device control and energy monitoring by analyzing and applying rules

An aberration engine that collects data sensed by a monitoring system that monitors a property of a user and aggregates the collected data over a period of a time. The aberration engine detects, within the aggregated data, patterns of recurring events and, based on detecting the patterns of recurring events within the aggregated data, takes action related to the monitoring system based on the detected patterns of recurring events within the aggregated data.

Aberration engine

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.

Integrated security for multiple access control systems

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.

Integration of knob sensors in monitoring systems

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.

Mesh network resiliency

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.

Property scene adjustments

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.

Interpreting presence signals using historical data

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Herndon, VA, United States of America

David James Hutz