State Farm Mutual Automobile Insurance Company

Matthew S Megyese

Steven C Cielocha

Kristopher Keith Gaudin

Leo Nelson Chan

William J Leise

John Adrian Nepomuceno

Roxane Lyons

Edward P Matesevac

Jeremy Myers

Jennifer Criswell Kellett

Rajiv C Shah

Jennifer L Crawford

Nicholas Carmelo Marotta

Jared Wheet

Austin Rowley

Paul Bates

Cathy Jo Roth

Brian Mark Fields

Jacob J Alt

Sarah Ann Lockenvitz

Scott T Christensen

Vicki King

Ryan Michael Gross

Joseph P Harr

Laura Anne Uphoff

Stacee Madsen

Michael Scott Harrison

Shawn Harbaugh

Shawn M Call

Jaime Skaggs

Alexander Cardona

Jd Johnson Willingham

J D Johnson Willingham

Anna Zarkoob

A device for evaluating aspects of health of a residential property configured to: (i) receive a first element of internal home health data captured by one or more smart devices installed within a residential property, the first element of internal home health data reflecting an aspect of operational quality of one or more assets of the residential property; (ii) determine a safety score based upon the first element of internal home health data; (iii) receive a second element of internal home health data captured by the one or more smart devices; (iv) determine a home health score based upon the first or second elements of internal home health data, the home health score representing a measure of health of the residential property; and (v) cause to be displayed, to a homeowner via a graphical user interface, a home health evaluation that includes the safety score and the home health score.

Systems and methods for home health evaluation and remediation

A computer-implemented method in a mobile computing device for tracking health and usage of electric vehicle (EV) batteries using Quick Response (QR) codes (or NFC or RFID tags) is provided. The method may include (1) capturing, by a camera associated with a mobile computing device, an image of a tag affixed to an EV; (2) analyzing the image of the tag affixed to the EV; (3) identifying, by the one or more processors of the mobile computing device, the EV based upon analyzing the image of the tag affixed to the EV; (4) determining vehicle battery data associated with a rechargeable battery that powers the identified EV; (5) determining based upon the vehicle battery data associated with the rechargeable battery that powers the identified EV, a battery status indication corresponding to the identified EV; and/or (6) providing, via a user interface, the battery status indication corresponding to the identified EV.

Systems and methods for QR code battery health based tracking

A system for detecting water damage to a structure may include a plurality of energy-harvesting sensors on or within the structure, each sensor being configured to (i) generate sensor data indicative of one or more characteristics of air, construction materials, and/or water within the structure and (ii) generate power for operating the sensor responsively to an external stimulus other than an electrical power source. One or more processors of the system receive sensor data generated by the energy-harvesting sensors, detecting water damage to the structure by analyzing at least the sensor data, and cause an indication of the detected water damage to be presented to a user.

Systems and methods for detecting water damage using energy-harvesting sensors

Systems and methods are disclosed for estimating slipperiness of a road surface. This estimate may be obtained using an image sensor mounted on a vehicle. The estimated road slipperiness may be utilized when calculating a risk index for the road, or for an area including the road. If a predetermined threshold for slipperiness is exceeded, corrective actions may be taken. For instance, warnings may be generated to human drivers that are in control of driving vehicle, and autonomous vehicles may automatically adjust vehicle speed based upon road slipperiness detected.

System for determining road slipperiness in bad weather conditions

In one aspect, a graphical user interface (GUI) for a dynamic model creation (DMC) system may be provided. The GUI may include: (i) a first display area programmed to display the at least one model including a visual representation of a determined location where a collision occurred, and/or (ii) a second display area programmed to display at least one data table corresponding to the at least one model, wherein movement of a visual representation of a vehicle on the GUI during a simulation of the at least one model is controlled at least by telematics data, and wherein the GUI is configured to receive user inputs such that the visual representations in the first display area and the at least one data table in the second display area are dynamically modifiable by a user.

Systems and methods for dynamically creating and adjusting scene models

A computer system including sensor and alternative power technologies for enhancing waste disposal and energy efficiency using is provided. The computer system may be configured to receive waste data and recycling data from at least one sensor located proximate to a waste bin, and determine a level of waste in the waste bin based upon the received waste data, and a level of contamination of the waste bin based upon the received recycling data. The computer system may be also configured to determine whether collection of waste in the waste bin or decontamination of the waste bin is required. The computer system may be further configured to generate an alert including information corresponding collection or decontamination of the waste bin, and transmit the alert to one or more client devices associated with at least one user.

Systems and methods for enhancing waste disposal and energy efficiency using sensor and alternative power technologies

In a computer-implemented method, telematics data collected during one or more time periods by one or more electronic subsystems of a vehicle, and/or by a mobile electronic device of the driver or a passenger, is received. The telematics data includes operational data indicative of how a driver of the vehicle operated the vehicle. The received telematics data is analyzed to identify driving behaviors of the driver during the time period(s). Based at least upon the driving behaviors, a driver profile is generated or modified. Based at least upon the generated or modified driver profile, a suggested vehicle type is identified, at least by determining that the profile meets a set of one or more matching criteria associated with the suggested vehicle type. An indication of the suggested vehicle type is displayed to a user.

Vehicle identification using driver profiles

A computer system including sensor technology for detecting environmental pollution levels in a water source and alerting users in real-time of the environmental pollution levels within the water source is provided. The computer system may be configured to receive pollution data from at least one sensor, analyze the received pollution data, and determine a level of environmental pollution in the water source based upon the analysis. The computer system may be also configured to determine, based upon the analysis of the pollution data, whether the water source is polluted, and generate an alert including information of the polluted water source. The computer system is further configured to generate a user list including at least one user of the water source, and transmit the alert to one or more client devices associated with the at least one user to notify the at least one user that the water source is polluted.

Systems and methods for enhancing water safety using sensor and unmanned vehicle technologies

Systems and methods relate to, inter alia, calculating a collision risk index for an area based upon historical traffic data. The systems and methods may further generate a notification to automatically engage or disengage an autonomous, or semi-autonomous, vehicle control feature in a vehicle based upon the collision risk index for the area. The systems and methods may further transmit the notification to a device of the vehicle to facilitate automatically engaging or disengaging an autonomous, or semi-autonomous, vehicle control feature in the vehicle as the vehicle approaches the area. As a result, vehicle collisions may be reduced, and vehicle safety enhanced.

Collision risk-based engagement and disengagement of autonomous control of a vehicle

Systems and methods are disclosed for educating vehicle drivers. Auto insurance claim data may be analyzed to identify hazardous areas associated with an abnormally high amount or severity of vehicle collisions. A virtual navigation map of roads within the hazardous areas may be built or generated. A common cause of several vehicle collisions at a hazardous area may be identified, and a virtual reconstruction of a scenario involving the common cause and/or a road map of collisions locations of may be created. The virtual reconstruction of the scenario may be displayed on a driver education virtual simulator to enhance driver education and reduce the likelihood of vehicle collisions.

System for driver's education

Growing community of inventors

Bloomington, IL, United States of America

Matthew S Megyese