Microstrategy, Inc.

Alarm.com Incorporated

Object Video Labs, LLC

Jeffrey A Bedell

Benjamin Z Li

William Hurwood

Jun Yuan

Abraham Joseph Kinney

Sadanand Sahasrabudhe

Abhimanyu Warikoo

Ramkumar Ramachandran

Fabrice Martin

Daniel Todd Kerzner

Luis V Orozco

Stephen Scott Trundle

Allison Beach

Steven S Trundle

Donald Gerard Madden

David James Hutz

Michael Jerry Saylor

L Douglas Everhart

Xinyi Wang

Matthew Daniel Correnti

Robert Nathan Picardi

Michael Li

Eduardo Carranza

David B Sherwood

Michael Codini

Jace Jawn Bauer

Weihong Yin

Scott Cappiello

Ramprasad Polana

Wenfeng Li

Ashutosh K Jhaveri

James Siemer

John Stanley

Kyle N Yost

Xun Feng

Glenn J Boysko

Drew T Lettington

Terry Berman

Javier Aldrete

Yinong Chen

Joel Lebrun

Hu Yu

Ningning Liu

Gail Marie Hurn

Anna Victoria Duyongco

Christopher Von Simson

Douglas F Meyer

Arturo Gay

Ilia Baskine

Vladislav Davidovich Lazebnikov

Sanjeev K Bansal

Rodolfo Avalos

Alejandro Freixas

Raul Gonzalez

Systems and techniques are described for pet monitoring during unattended delivery. In some implementations, a monitoring system monitors a property includes sensors located throughout the property and generates sensor data. A monitor control unit receives a first indication that a resident of the property will be receiving a delivery during a delivery time. Based on the sensor data and during the delivery time, the monitor control unit determines that a pet, that resides at the property, has been restrained. The monitor control unit provides, to a delivery person, a second indication that the pet at the property has been restrained.

Automatic zone boundary adjustment

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

Systems and techniques are described for supervising and monitoring the delivery of a package to a property. In some implementations, shipment data indicating a package to be delivered at the property and identification information for a first person is obtained. A request for a second person to access the property and deliver the package that includes identification information for the second person is received. Identification information for the first person is compared to the identification information for the second person. Access to the property is provided to the second person. Sensor data generated by one or more sensors that are located throughout the property and while providing access to the property is obtained and analyzed. A determination of whether the second person delivered the package to the property is made based on analyzing the sensor data. Data indicating the determination is provided for output.

Supervised delivery techniques

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for group identification and monitoring. The methods, systems, and apparatus include actions of determining, using one or more first frames of a video sequence, that two people each of whom is depicted in at least one of the first frames satisfy a grouping criteria that indicates that the two people should be grouped for video analysis, determining, using one or more second frames of the video sequence at least some of which were captured after the one or more first frames and which depict at least one of the two people, that the two people satisfy a degrouping criteria that indicates that the two people should not be grouped for video analysis, determining that a physical distance between the two people violates a distance criteria, and providing an alert that the distance criteria is violated.

Group identification and monitoring

Automatic electric fence boundary adjustment

A computer-implemented method includes obtaining a delivery schedule for a property, determining that a portable camera used by a visitor is at the property, determining that the portable camera corresponds to the delivery schedule, in response to determining that the portable camera corresponds to the delivery schedule, providing access to the property, and obtaining a video recorded by the portable camera.

Supervising property access with portable camera

Monitoring of pet status during unattended delivery

A business intelligence system comprises a business intelligence interface system that enables users to interface with a business intelligence system and an electronic learning system that delivers electronic learning related to the business intelligence system. The business intelligence interface system enables one or more portions, such as folders of reports, individual reports, metadata or other business intelligence objects, or a report definition, of the business intelligence system for use by a user based on information related to whether the user has engaged in electronic learning associated with the one or more portions. A user may self-provision access by earning a privilege based on reviewing a lesson, passing a test, and/or other activities relative to the business intelligence object. Upon meeting electronic learning criteria, the electronic learning system updates privileges to enable access to the business intelligence object or class of objects.

Integration of e-learning with business intelligence system

A selection engine for a cooperative processing network, in which databases compute portions of searches and analyses which they may most efficiently compute. A data mining network may contain large scale databases, analytic engines which communicate with the databases, and other resources, each capable of performing or executing certain functions, such as statistical functions. When a user desires to run a specified report against the databases, those functions that can be computed locally in the database are trapped and computed therein, whereas other functions, such as advanced statistical functions, may be distributed to remote analytic engines or other resources in the network. A management module may coordinate the transmission and assembly of the data, including to order dependencies. The management module may contain a selection engine to allocate computations to databases or other resources as a default, to test for load balancing before choosing a compute site, or apply other criteria.

System and method for function selection in analytic processing

A system and method for facilitating the performance of administrator tasks in performing changes to enterprise level data that is associated with various users. The method includes the steps of generating a login dialog box to accept login information from an administrator; establishing a connection to at least one project source name; providing an outline to the administrator, the outline facilitating the creation and submission of command based instruction by providing syntax for a purpose, the outline being maintained in a predetermined folder; and providing a history feature to save a set instructions that were executed successfully.

Systems and methods for performing operations in a reporting system

Growing community of inventors

Arlington, VA, United States of America

Jeffrey A Bedell