Alarm.com Incorporated

Christopher Silverman

Benjamin Asher Berg

David James Hutz

Mark Andrew Hanson

Adam T Barth

Donald Gerard Madden

Jean-Paul Martin

Allison Beach

Weihong Yin

Dave Conger

Andrew Scanlon

Yang Yang Zheng

Narayanan Ramanathan

Donald Faraci

Adam Gordon

Adam Barth

Fall detection and reporting technology, in which output from at least one sensor configured to sense, in a room of a building, activity associated with a patient falling is monitored and a determination is made to capture one or more images of the room based on the monitoring. An image of the room is captured with a camera positioned to include the patient within a field of view of the camera and the captured image of the room is analyzed to detect a state of the patient at a time of capturing the image. A potential fall event for the patient is determined based on the detected state of the patient and a message indicating the potential fall event for the patient is sent based on the determination of the potential fall event for the patient. Techniques are also described for fall detection and reporting using an on-body sensing device.

Fall detection and reporting technology

Health and wellness management technology, in which events that relate to activity within the monitored property are sensed based on output from sensors located at a monitored property. Behaviors are detected based on the sensed events that relate to activity within the monitored property and, in accordance with the detected behaviors, one or more models are created based on a likelihood of similarly expressed events happening at similar times with similar characteristics. Additional behaviors detected after creation of the one or more models are evaluated against the one or more models to determine whether the additional behaviors are consistent with the one or more models. At least one action is performed based on the determination of whether the additional behaviors are consistent with the one or more models.

Health and wellness management technology

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for adjusting of video analytics rules for camera movement. The methods, systems, and apparatus include actions of obtaining a rule that specifies a first set of coordinates applied to a first set of images from a camera, determining an amount and direction of movement of the camera after the rule was obtained, determining, based on the amount and direction of movement of the camera, a second set of coordinates applied to a second set of images captured after the camera moved.

Automatic adjusting of video analytics rules for camera movement

Techniques are described for provisioning Wi-Fi network connectivity for a wireless device without requiring a user to provide network credentials to allow the wireless device to establish a network connection. In some implementations, a method is performed by a computing device to provision a wireless network connection. A MAC address associated with a property is obtained. A temporary network credential for the wireless device is determined based on the MAC Address of the wireless device. The temporary network credential permits the wireless device to connect to a temporary network. The temporary network credential for the wireless device is available over the temporary network. A determination that the wireless device has connected to the temporary network using the temporary network credential for the wireless device is made. An instruction is transmitted to the wireless device over the temporary network in response to the determination.

Wi-Fi provisioning techniques

Methods, systems, and apparatus, including computer programs encoded on a storage device, are disclosed. A system 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 comprising: obtaining, by the system, video of a scene captured by a camera; determining a likelihood that the camera will be tampered with based on the video of the scene; determining that the likelihood that the camera will be tampered with satisfies criteria; and transmitting data generated from the video.

Notifications for camera tampering

Systems, devices, and techniques for service authorization are described. A described device includes a transceiver to communicate with an authorization server, and a processor. The processor can set an authorization timer for a first time period based on obtaining an authorization from the authorization server, and activate device features for a duration of the first time period. The processor can receive from the authorization server an authorization message that includes an authorization key hash based on a shared secret key and a server timestamp, determine a local key hash based on the shared secret key and a local timestamp, set the authorization timer for a second time period based on the authorization key hash matching the local key hash, and maintain an activation of the features for a duration of the second time period.

Service authorization for IoT devices operating locally

In some implementations, a system is capable of managing keys for encrypting media streams over UDP communications between a media source and an associated server. A key is initially generated for encrypting a media stream captured by a media source device associated with a monitoring system of a property. A first instruction is provided to the media source device and over a secure communication channel. The first instruction causes the media source device to encrypt the media stream using the key when received by the media source device. A second instruction is generated for decrypting the encrypted media stream. The second instruction is provided to a computing device associated with the property. The second instruction causes the computing device to decrypt the encrypted media stream when received by the computing device.

Stream encryption key management

Systems and techniques are described for utilizing video classification capabilities for providing accurate local weather. In some implementations, the techniques include the actions of obtaining images from cameras located at a monitored property. An expected weather forecast and an actual weather condition is obtained for the monitored property. A machine-learning model is trained to classify a current weather condition for the monitored property using the images from the cameras, the expected weather forecast, and the actual weather condition. A weather condition is obtained from the trained machine-learning model that indicates a particular weather condition at the monitored property based on one or more images from a camera and the expected local weather forecast at the monitored property.

Determining localized weather by media classification

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 obtaining images of a scene captured by a camera, identifying an object in the images through object recognition, determining that the object that is identified in the images is of a particular type that has a privacy restriction, and in response to determining that the object in the images is of the particular type that has the privacy restriction, obfuscating an appearance of the object in the images.

Preserving privacy in surveillance

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.

Growing community of inventors

Alexandria, VA, United States of America

Christopher Silverman