Alarm.com Incorporated

Microstrategy, Inc.

Daniel Todd Kerzner

Donald Gerard Madden

Abraham Joseph Kinney

Stephen Scott Trundle

Allison Beach

Benjamin Asher Berg

David James Hutz

Jeffrey A Bedell

Luis Fernando Guzman Verbena

Babak Rezvani

Ethan Shayne

Adam T Barth

Zackary Watson

Stephanie Sun Kinney

Michael Li

Benjamin Z Li

Gang Qian

Gary Franklin Bart

Ahmad Seyfi

Glenn Tournier

Achyut Boggaram

Kelly Franklin Jackson

Dean Constantine

Narayanan Ramanathan

L Douglas Everhart

Ramkumar Ramachandran

Xinyi Wang

Yi Du

Timon Meyer

Terry Berman

Shrimohan Damani

Javier Aldrete

Joel Lebrun

Xiaonan Han

Hanijanto Soewandi

James Jay Glickstein

Stephanie Hinderks

Christopher Von Simson

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.

Monitoring system analytics

A monitor control unit that is configured to receive, from the electronic pool device, the sensor data, compare the sensor data to a threshold, based on comparing the sensor data to a threshold, determine that the sensor data exceeds the threshold, based on determining that the sensor data exceeds the threshold, provide an instruction to initiate the capture of image data by the camera of the electronic pool device, receive, from the camera of the electronic pool device, the image data, analyze the image data, based on analyzing the image data, identify a monitoring system action to perform, and perform the monitoring system action.

Swimming pool monitoring

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.

Spoofing attack detection

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing an integrated doorbell device are disclosed. In one aspect, a method includes the actions of receiving doorbell data indicating activation of a doorbell of a property. The actions further include receiving device data from one or more devices associated with a monitoring system within the property. The actions further include determining a security status associated with the monitoring system. The actions further include based on the doorbell data indicating activation of the doorbell of the property, the device data from the one or more devices associated with the monitoring system, and the security status associated with the monitoring system, determining a response action for execution by the monitoring system. The actions further include performing, by the monitoring system, the response action.

Use of data from a doorbell with integrated sensors

Methods, systems, and apparatus, including computer programs encoded on storage devices, for monitoring, security, and surveillance of a property. In one aspect, a system includes a virtual reality headset, a plurality of cameras, a plurality of sensors that includes a first sensor, a control unit, wherein the control unit includes a network interface, a processor, a storage device that includes instructions to perform operations that comprise receiving data from the first sensor that is indicative of an alarm event, determining a location of the first sensor, identifying a set of one or more cameras from the plurality of cameras that are associated with the first sensor, selecting a particular camera from the identified set of one or more cameras; and transmitting one or more instructions to the particular camera that command the particular camera to stream a live video feed to a user interface of the virtual reality headset.

Virtual enhancement of security monitoring

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for controlling access to a premises. One of the methods includes detecting a person within a threshold distance of a door; determining that there is a threshold likelihood that the person may access the door; providing instructions that indicate one or more criteria for access to the door; determining that a threshold quantity of the one or more criteria are satisfied; and in response to determining that the threshold quantity of the one or more criteria are satisfied, providing access to the door.

Access control system

Disclosed are methods, systems, and apparatus for monitoring delivered packages using video. A method includes obtaining a notification of a delivery of a package at a property that includes a first image depicting the package; obtaining a second image captured by a camera at the property; determining, using the first image and the second image, that the package has been delivered to the property; generating a package model that represents an appearance of the package; and tracking a location of the package for use in determining whether to provide an alert to a device about the location of the package. Determining that the package has been delivered to the property comprises: comparing the first image to a model of a scene of the property; determining that the first image satisfies similarity criteria for matching the model of the scene; and determining that the second image likely depicts the package.

Monitoring delivered packages using video

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for detecting packages delivering in the camera's blindspot. One of the methods includes detecting, using one or more images captured by a camera at a property, movement in an area of interest i) at the property, ii) that is included in a field of view of the camera and iii) was generated using historical data for packages delivered to the property; determining, using the detected movement in the area of interest, that a package was likely delivered; and in response to determining that the package was likely delivered, performing one or more automated actions for the package.

Camera blindspot analysis

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 determining a state of a monitoring system, determining an exclusion zone that is shown in a video, determining whether to obfuscate at least a portion of the video based on the exclusion zone and the state of the monitoring system, and obfuscating at least the portion of the video.

Dynamic video exclusion zones for privacy

Methods, systems, and apparatus, including computer programs encoded on a storage device, for using a drone to pre-surveil a portion of a property. In one aspect, a system may include a monitoring unit. The monitoring unit may include a network interface, a processor, and a storage device that includes instructions to cause the processor to perform operations. The operations may include obtaining data that is indicative of one or more acts of an occupant of the property, applying the obtained data that is indicative of one or more acts of the occupant of the property to a pre-surveillance rule, determining that the pre-surveillance rule is satisfied, determining a drone navigation path that is associated with the pre-surveillance rule, transmitting, to a drone, an instruction to perform pre-surveillance of the portion of the one or more properties using the drone navigation path.

Drone pre-surveillance

Anti-spoofing visual authentication

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.

Face concealment detection

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.

Mobile docking station

Growing community of inventors

McLean, VA, United States of America

Daniel Todd Kerzner