Vivint, Inc.

Adobe, Inc.

Jason Carter

Nicholas Brown

David L Cardon

Darren Noble

Nicholas J Brown

Brian Call

Brandon Bunker

Ryan Carlson

Brandon Gordon Hatch

Michael Allen Tupy

Timothy Ryan Beavers

Daniel McCallum

Daniel A McCallum

Darren R Noble

Adam I Stevenson

Roy Gray Merrill

Systems and methods for controlling access to a building associated with a security and/or automation system may include detecting a presence of at least one person positioned proximate an entry to the building, collecting one or more biometric identifiers from the at least one person, identifying one or more devices within a predetermined proximity of the entry to the building, and granting the person access to the building based at least in part on the collecting and the identifying.

Authentication for keyless building entry

According to at least one embodiment, a computer-implemented method to implement at least one automation rule is described. The at least one automation rule may be generated, wherein the at least one automation rule may control at least one aspect of an automation system. The execution origination point may be selected for the at least one automation rule based at least in part on the one or more implementation parameters. The one or more implementation parameters may comprise at least one of the speed of the automation rule execution, the scalability of the automation rule, the flexibility of the automation rule conditions, or the ease of automation rule modification.

Hybrid rule implementation for an automation system

A method for heating ventilation and air conditioning (HVAC) systems is described. In one embodiment, the method includes measuring a temperature of a first room of a building via a first thermometer placed in the first room and measuring a temperature of a second room of the building via a second thermometer placed in the second room and receiving the temperature of the first room via a first data communication device communicatively coupled to a first HVAC register in the first room and receiving the temperature of the second room via a second data communication device communicatively coupled to a second HVAC register in the second room. In some cases, the first data communication device is configured to communicate data between the first thermometer and a central automation controller and the second data communication device is configured to communicate data between the second thermometer and the central automation controller.

Smart HVAC

Methods and apparatus are presented for extracting, transforming, and loading data from one database to another database. For example, an extraction, transformation, and loading (ETL) component may access an operational log of a given database in order to detect an update to the database. Upon detecting the update, the ETL component may extract a subset of data from the operational log, where the extraction of the subset of data is based on one or more rules. Ones the subset of data has been extracted, the ETL component may transform the extracted subset of data from the operational log into a format for another, target database, where the data format for the other, target database is different from a data format for the given, source database. The ETL component may then load the subset of data transformed into the data format for the other, target database into the target database.

Rule-based extraction, transformation, and loading of data between disparate data sources

According to at least one embodiment, a computer-implemented method to communicate refuse reminders to a user of an automation system is disclosed. A proximity of at least one refuse bin to a base station may be detected at a predetermined time period prior to the refuse removal day using one or more sensors. The user may be alerted to move the at least one refuse bin to a removal location based at least in part on the detecting. In some embodiments, the refuse removal scheduled may be linked with the automation system, wherein the refuse removal schedule may comprise a schedule of refuse pick-up days for a first category of refuse.

Refuse removal reminders

Methods and apparatus are presented for extracting, transforming, and loading data from one database to another database. For example, an extraction, transformation, and loading (ETL) component may access an operational log of a given database in order to detect an update to the database. Upon detecting the update, the ETL component may extract a subset of data from the operational log, where the extraction of the subset of data is based on one or more rules. Once the subset of data has been extracted, the ETL component may transform the extracted subset of data from the operational log into a format for another, target database, where the data format for the other, target database is different from a data format for the given, source database. The ETL component may then load the subset of data transformed into the data format for the other, target database into the target database.

Methods and apparatus are presented for aggregating data from disparate sources into an efficiently accessible format. For example, an aggregation tool may receive attribute-based data from one source and metrics-based data from another source. Given this data, the aggregation tool may store attribute data from the attribute-based data into a data object, where the data object includes multiple time slots corresponding to defined time ranges. The aggregation tool may then determine from the metrics-based data, respective metrics data for each of the multiple time slots of the data object, where each time slot is associated with the attribute data. The aggregation tool may store the respective metrics data into each of the multiple time slots of the data object. In this way, the data object may serve to efficiently provide an answer to a query requiring data from multiple data sources.

Aggregation of data from disparate sources into an efficiently accessible format

Methods and apparatus for an automated keyword refinement tool for generating an output set of keywords. The keyword refinement tool may utilize or incorporate results from keyword suggestion tools and keyword ranking tools in order to determine a set of keywords that produce better search engine results that if the keyword suggestion tools or keyword ranking tools were utilized individually. The keyword refinement tool may use a variety of methods for determining input to keyword suggestions tools and keyword ranking tools and a variety of methods for combining the results from the keyword suggestion tools and keyword ranking tools.

Growing community of inventors

Lehi, UT, United States of America

Jason Carter