State Farm Mutual Automobile Insurance Company

Lee C Drinan

Shawn M Call

Michael Shawn Jacob

Kevin William Payne

Andrew Reeser

Stacy L Kennedy

Lisa Ann Frey

Nicholas U Christopulos

Jonathan D Maurer

Kevin Payne

Lisa A Frey

The method and system may be used to provide an indication of a color value for a particular siding sample and to color match a specific siding product to the color value of the siding sample. The system receives a digital image of a siding sample and a desired color value to be matched. A color query module plots this desired color value as a desired color point in a multidimensional color space together with a plurality of color reference points. Each color reference point represents the color value of an existing siding product. The system determines a 'distance' between the desired color point and each plotted color reference point within the color space and identifies the siding product associated with the color reference point that is located the shortest distance to the desired color point within the color space.

System and method for automatically identifying and matching a color of a structure's external surface

Techniques for facilitating one or more operating modes for monitoring of an intelligent home system are disclosed. The techniques facilitate detecting an adverse condition in a building, generating an alert based on the detection, sending a notification about the alert to a user (e.g., to a mobile device), awaiting a user response, and determining whether to send the alert to a central monitoring system to facilitate notification of an appropriate responder for the adverse condition. Determining whether to send the alert to the central monitoring system may be based on an affirmative command from the user or a failure to receive any command from the user. The user may be billed for the service of notifying an appropriate responder provided by central monitoring system regularly, intermittently when the user is away from the building, or on a per-alert basis.

Alternative billing modes for security and automation applications

In a computer-implemented method of generating event notifications, in-home data is received. The in-home data and environment data (e.g., weather, law enforcement, etc.) is generated by, or based on information generated by, a device located at a residence of an individual, and is analyzed to determine whether it is indicative of an event that should be reported to one or more neighboring residences and/or businesses. If the data is indicative of such an event, a notification is generated and transmitted to the relevant residences and/or businesses.

Home sensor data gathering for neighbor notification purposes

A method and system facilitate the one or more operating modes for monitoring of an intelligent home system. The method and system facilitate the detection of an adverse condition in a building, the generation of an alert based on the detection of adverse condition, sending a notification to a user about the alert, asking the user how to respond to the alert via a message sent to a mobile device, and determining whether to send the alert to a central monitoring system to facilitate notification of an appropriate responder for the adverse condition. Determining whether to send the alert to the central monitoring system may be based on an affirmative command from the user or a failure to receive any command from the user. The user may be notified via at least one of a telephone call, text message, email, or application notification. The user may provide instructions to the method and system via at least one of a telephone call, text message, email, application command, or web script. The user may be billed for the service of notifying an appropriate responder provided by central monitoring system regularly, intermittently when the user is away from the building, or on a per-alert basis.

Systems and methods receive, from a building, an inventory identifying a plurality of electronic devices associated with a building automation system. The systems and methods compare the inventory to an additional inventory associated with an additional building automation system of an additional building to determine that the inventory is the same as or similar to the additional inventory, wherein the additional inventory identifies a plurality of additional electronic devices. The systems and methods further identify an automation scene that coordinates operation of at least a portion of the plurality of additional electronic devices and provide the automation scene to the building for implementation in the building automation system.

Scene creation for building automation systems

A method, system, and computer-readable medium that facilitate the reception of usage data about the utilization of an intelligent home system and recommend intelligent home system products based on the usage data. The method, system, and computer-readable medium facilitate the analysis of the usage data to determine whether to recommend intelligent home system products and which, if any, intelligent home system products to recommend. Recommendations may be generated by comparing the usage data to an updated products list or an upgraded products list. Recommendations may be generated by comparing the usage data to a similar products list. The similar products list may be generated by analyzing previously received usage data to determine which products are often used together. Recommendations may be generated by comparing the usage data to a similar customers list. The similar customers list may be generated by analyzing previously received usage data to determine which products are used by other, similar users. Recommendations may be presented to a user if the intelligent home system.

Automation and security application store suggestions based on usage data

A method, system, and computer-readable medium that facilitate the reception of usage data about the utilization of an intelligent home system and insurance claims data and recommend intelligent home system products based on the claims data. The method, system, and computer-readable medium facilitate the analysis of the claims data to determine whether to recommend intelligent home system products and which, if any, intelligent home system products to recommend. Recommendations may be generated by comparing a user's usage data to the claims data. Recommendations may be generated by comparing the usage data to products related to the claims submitted by one or more similar claimants in the claims data. Recommendations may be presented to a user if the intelligent home system.

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Bloomington, IL, United States of America

Lee C Drinan