Alarm.com Incorporated

Object Video Labs, LLC

Avigilon Fortress Corporation

Andrew Scanlon

Allison Beach

Donald Gerard Madden

David James Hutz

Matthew Daniel Correnti

Weihong Yin

Robert Nathan Picardi

Benjamin Asher Berg

Christopher Silverman

Michael Kelly

Dave Conger

Dana Eubanks

Tae Eun Choe

Don Madden

Shirley Zhou

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.

Vehicle occupancy monitor

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, purging carbon monoxide (CO) from within a property. The methods, systems, and apparatus include actions of obtaining a reading from a carbon monoxide sensor in a property, determining that carbon monoxide in a property satisfies a carbon monoxide criteria based on the reading from the carbon monoxide sensor, obtaining a reading from a fire sensor, determining that a fire is not in the property based on the reading from the fire sensor, and in response to determining that carbon monoxide in the property satisfies the carbon monoxide criteria and that a fire is not in the property, triggering air in the property to be vented outside the property.

Carbon monoxide purge system for a property

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for cooperative video surveillance. The methods, systems, and apparatus include actions of determining that a vehicle has arrived at a particular parking spot, determining a view of a property for an onboard camera for the vehicle, providing a detection rule to the vehicle based on the view of the property for the onboard camera for the vehicle, and receiving an image captured by the onboard camera for the vehicle based on satisfaction of the detection rule.

Property video surveillance from a vehicle

Methods and systems including computer programs encoded on a computer storage medium, for receiving, from a camera, an image in which the camera detected a particular event based on a first set of camera settings, determining, from the image, that the image is a false positive as the camera falsely detected the particular event, determining that a number of images uploaded by the camera that are false positives satisfies a camera setting generation criteria, and in response, generating a second set of camera settings and providing the second set of camera settings to the camera.

Dynamic calibration of surveillance devices

Methods and systems including computer programs encoded on a computer storage medium, for receiving, from a camera, a set of images in which the camera detected a particular event based on a first set of camera settings, determining that false detections in the set of images made by the camera based on the first set of camera settings were caused by localized errors, and in response, generating a second set of camera settings based on the localized errors and providing the second set of camera settings to the camera.

A method is provided for augmenting video feed obtained by a camera of a aerial vehicle to a user interface. The method can include obtaining a sequence of video images with or without corresponding sensor metadata from the aerial vehicle; obtaining supplemental data based on the sequence of video images and the sensor metadata; correcting an error in the sensor metadata using a reconstruction error minimization technique; creating a geographically-referenced scene model based on a virtual sensor coordinate system that is registered to the sequence of video images; overlaying the supplemental information onto the geographically-referenced scene model by rendering geo-registered data from a 3D perspective that matches a corrected camera model; creating a video stream of a virtual representation from the scene from the perspective of the camera based on the overlaying; and providing the video stream to a UI to be render onto a display.

Growing community of inventors

Falls Church, VA, United States of America

Andrew Scanlon