Alarm.com Incorporated

Object Video Labs, LLC

Objectvideo, Inc

Avigilon Fortress Corporation

Donald Gerard Madden

Allison Beach

Daniel Todd Kerzner

Ethan Shayne

Babak Rezvani

Ahmad Seyfi

Weihong Yin

Benjamin Asher Berg

Glenn Tournier

Gang Qian

David James Hutz

Narayanan Ramanathan

Alan J Lipton

Andrew J Chosak

Stephen Scott Trundle

Niels Haering

Christopher Silverman

Zhong Zhang

Gary W Myers

Dana Eubanks

Matthew F Frazier

Andrew Scanlon

James S Sfekas

Jeffrey A Bedell

Péter L Venetianer

Geoffrey Egnal

Michael C Mannebach

Timon Meyer

Peter L Venetianer

Abraham Joseph Kinney

Aaron Lee Roberts

Dean Constantine

John I W Clark

Bret Jutras

Dave Conger

Stephanie Sun Kinney

Michael Li

Li Yu

Sima Taheri

Omar Javed

Zeeshan Rasheed

Haiying Liu

Alexander Lawrence Reeder

Khurram Hassan-Shafique

Himaanshu Gupta

John Varn

Jangwon Lee

Geoffrey R Taylor

Donald Faraci

Achyut Boggaram

Xiao Chun Cao

John Ian Wallace Clark

Kyoung-Jin Park

Adam Rodriguez

Jennifer Doughty

Celine Heckel Jones

Adam Gordon

Matthew Daniel Correnti

Gary Franklin Bart

Robert Nathan Picardi

William Wireko Mensah

Michael Kelly

Johnathan Michael Carone

John Zhang

Mun Wai Lee

Alexander Prugh

Eduardo Romera Carmena

Liyu Yao

Daniel John Koniar

Martin Logan Elliott

Mary Melissa Kalagher

Robert S Hastings

Wei Hong Yin

Asaad Hakeem

Brian Blue

James Jay Glickstein

Narayanan Ramathan

Stephanie Hinderks

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for monitoring extended reality spaces. One of the methods includes determining, for a first extended reality environment generated by a first device, first data defining a first three-dimensional space at a property for the first environment; determining, for a second extended reality environment generated by a second device, second data defining a second three-dimensional space at the property for the second environment; determining whether the first space at least partially overlaps with the second space; in response to determining that the first space at least partially overlaps with the second space, determining that the first space has a higher priority than the second space; in response to determining that the first space has the higher priority than the second space, providing, to the second device, a command to adjust an experience for the second extended reality environment.

Coordinating extended reality 3D space

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 providing targeted notifications. One of the methods includes determining a likely identity of a visitor who arrived at a property that is associated with two or more people, selecting, from the two or more people, a target person using the likely identity of the visitor, and sending, to a device of the target person, a notification that indicates that the visitor arrived at the property.

Targeted visitor notifications

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 computer storage media, for motorized structure integration with augmented and virtual reality. One of the methods includes determining one or more physical objects for use with an extended reality environment; generating, for a physical object from the one or more physical objects, data for a representation of the physical object for use in the extended reality environment; providing, to a user device, at least some of the data for the representation of the physical object to cause the user device to present at least a portion of the representation in the extended reality environment; determining to change a presentation of the representation in the extended reality environment; and in response to determining to change the presentation of the representation, controlling a physical position of the physical object using the change to the presentation of the representation in the extended reality environment.

Physical object integration with extended reality environments

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for consolidation of alerts using a similarity criterion. One of the methods includes: receiving, from a sensor at a property for which a first action in a sequence of actions was detected by a second sensor at the property, data that identifies a second action at the property; determining whether the second action satisfies a similarity criterion for an action in the sequence of actions that define an event at the property; and in response to determining that the second action satisfies the similarity criterion for the action in the sequence of actions that define the event at the property, performing an event operation for the event at the property.

Consolidation of alerts based on correlations

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 computer storage media, for monitoring events using a Virtual Inductive Loop system. In some implementations, image data is obtained from cameras. A region depicted in the obtained image data is identified, the region comprising lines spaced by a distance that satisfies a distance threshold. For each line included in the region: an object depicted crossing the line is determined whether to satisfy a height criteria indicating that the line is activated. In response to determining that an object depicted crossing the line satisfies the height criteria, an event is determined to have likely occurred using data indicating (i) which lines of the lines were activated and (ii) an order in which each of the lines were activated. In response to determining that an event likely occurred, actions are performed using at least some of the data.

Vehicular access control based on virtual inductive loop

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for retroactive event detection. The methods, systems, and apparatus include actions of obtaining an image captured by a camera at a current time, determining that the image depicts a change in a region from a previous image captured by the camera at a previous time, determining, based on determining that the image depicts the change in the region, whether the change depicted in the image is of a known object type, determining, based on the determination that the change depicted in the image is of a known object type, whether the change does not correspond to a previously detected event, and determining, based on the determination that the change does not correspond to a previously detected event, whether the images captured by the camera between the current time and the previous time depict an event.

Event detection in video surveillance

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for monitoring extended reality spaces. One of the methods includes selecting, from a physical space at a property, a first available portion of the physical space for representing an extended reality environment; causing presentation of a first portion of the extended reality environment at the first available portion of the physical space; predicting, using sensor data generated from one or more sensors at the property, that the first available portion of the physical space will likely be interfered with; in response to predicting that the first available portion of the physical space will likely be interfered with, selecting, from the plurality of available portions of the physical space, a second available portion for representing the environment; and causing presentation of a second portion of the extended reality environment at the second available portion of the physical space.

Extended reality 3D space creation and management

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for monitoring extended reality spaces. One of the methods includes maintaining, for an extended reality environment generated by a first device operated by a person, data defining a three-dimensional space at a property; accessing sensor data generated by one or more sensors physically located at the property; predicting, using the sensor data, that an object will likely interfere with the three-dimensional space at the property; and in response to predicting that the object will likely interfere with the three-dimensional space at the property, providing a notification to a second device.

Extended reality 3D space monitoring

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.

Automated mapping of sensors at a location

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for automatically cleaning a portion of an environment. One of the methods includes detecting, by an automated cleaning system, movement within a physical environment; determining, by the automated cleaning system and using data that represents the movement, that one or more threshold criteria for cleaning at least a portion of the physical environment are satisfied; and in response to determining that the one or more threshold criteria for cleaning at least the portion of the physical environment are satisfied, sending, by the automated cleaning system, an instruction to a device in the physical environment to cause the device to initiate a cleaning process of at least the portion of the physical environment.

Self-cleaning environment

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Columbia, MD, United States of America

Donald Gerard Madden