Blueowl, LLC

Quanata, LLC

State Farm Mutual Automobile Insurance Company

Fovea2 LLC

Other

Theobolt N Leung

Kenneth Jason Sanchez

Micah Wind Russo

Eric Dahl

Gareth Finucane

Vinay Kumar

Holger Struppek

Patricia Grealish-Rust

Scott Howard

John Minichiello

Steven J Harris

Callum Brook

Jay T Hieb

Kayla Drozd

Charles O Schwabacher

Tina Fang

Charles B Smith

Daniel O'Shea

Bennett Smith

Issac Jacob Roth

William Jessup Taylor

Mary Piontkowski

Blake Konrardy

Aaron Shimer

Steven E Marder

A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations: building, using a machine learning algorithm, a transit model based at least in part upon telematics data associated with a user; generating, based at least in part upon the transit model, a dynamic transit route for the user; calculating, based at least in part upon the telematics data associated with the user, a potential benefit comprising an amount of fuel cost savings for the user, reduced travel time for the user, insurance savings, or environmental pollution reduction for the user; generating a notification comprising the dynamic transit route and the potential benefit; and transmitting the notification to a mobile device of the user. Other embodiments are described.

Systems and methods for generating dynamic transit routes

A computer-implemented method of generating a scenic route including: receiving, by one or more processors, a user request from a user for directions from an origin location to a destination location; identifying, by the one or more processors, one or more route segments of one or more routes between the origin location and the destination location based on at least telemetry data and point of interest (POI) data; determining, by the one or more processors, one or more respective scenic views proximate to the one or more respective scenic points; receiving, by the one or more processors, a selection of at least one of the one or more respective scenic views; and transmitting, by the one or more processors, navigation directions to the user for at least one route of the one or more routes. Other embodiments are described.

Systems and methods for generating scenic routes

A smart ring includes a housing. The smart ring also can include a power source disposed within or at the housing. The power source can be configured to receive energy. The smart ring can further include a controller disposed within or at the housing. The power source also can be configured to power the controller. The controller can be configured to estimate a charging status for the power source. The controller also can be configured to generate information to indicate the charging status. Other embodiments are disclosed.

Environment-integrated smart ring charger

Method and system for selecting a vehicle route. For example, the method includes collecting information for a future vehicle trip that will be made by a user, generating multiple routes for the same future vehicle trip, predicting an amount of fuel consumption for each of the multiple routes based at least in part upon information for the route and user driving features of the user, and selecting a route from the multiple routes based at least in part upon the amounts of fuel consumption predicted for the user, where the selected route corresponds to a least amount among the amounts of fuel consumption predicted for the user.

Systems and methods for selecting vehicle routes

Telematics systems and methods are described for generating interactive animated guided user interfaces (GUIs). A telematics cloud platform is configured to receive vehicular telematics data from a telematics device onboard a vehicle. A GUI value compression component determines, based on the vehicular telematics data, a plurality of GUI position values and a plurality of corresponding GUI time values. A geospatial animation app receives the plurality of GUI position values and the plurality of corresponding GUI time values. The geospatial animation app implements an interactive animated GUI that renders a plurality of geospatial graphics or graphical routes on a geographic area map via a display device. The geospatial graphics or graphical routes are rendered to have different visual forms based on differences between respective GUI position values and corresponding GUI time values.

Vehicular telematic systems and methods for generating interactive animated guided user interfaces

A computer-implemented method for providing feedback to drivers of vehicles is disclosed. The method comprises receiving an image corresponding to a vehicle indicating driving behavior data associated with a user. The driving behavior data are indicative of wear and tear on the vehicle or fuel efficiency for the vehicle and the driving behavior data indicative of an impact associated with the user on longevity of the vehicle. Based at least in part upon analyzing the image and determining a driving performance metric associated with the user feedback associated with the user is generated and provided to a mobile device associated with the user for presentation at the mobile device.

System and method for providing user feedback regarding driving behavior and the effects on gas consumption and vehicle wear

A smart ring charging system comprises a charging source integrated into an object, the object configured to be held by a user wearing a smart ring. The smart ring may include a ring-shaped housing and a power source disposed within or at the ring-shaped housing and configured to receive energy from the charging source while the user is wearing the smart ring and holding the object. A controller may be disposed within or at the ring-shaped housing, or at the object with the charger and configured to estimate a charging rate at which the power source receives the energy from the charging source. The system may further include one or more indicators configured to indicate the charging rate.

Systems and methods of utilizing badging for driver risk assessment are provided. Vehicle telematics data (e.g., speed data, acceleration data, braking data, cornering data, following distance data, turn signal data, seatbelt use data) associated with a vehicle operator may be analyzed. Based on the analysis, a trend of safe operation of the vehicle may be identified (e.g., based on a number of vehicle trips and/or a number of consecutive vehicle trips in which the vehicle telematics data indicates safe operation of the vehicle, a frequency of vehicle trips in which the vehicle telematics data indicates safe operation of the vehicle, a comparison to other drivers, etc.) A digital certificate indicating the trend of safe operation of the vehicle may be associated with the vehicle operator. In response to a third-party query regarding the vehicle operator, the digital certificate associated with the vehicle operator may be displayed to the third party.

System and method of badging for driver risk assessment

Systems and methods of visualizing predicted driving risk are provided herein. Vehicle sensor data associated with a vehicle operator may be analyzed. Based on the analysis of the vehicle sensor data, one or more vehicle operation risks associated with the vehicle operator may be predicted. Each vehicle operation risk may be associated with a portion of a vehicle associated with the vehicle operator. Additionally, each vehicle operation risk may be assigned a priority level, e.g., based on predicted likelihood of occurrence, predicted danger of the vehicle operator, predicted damage to the vehicle, etc. A display overview of the vehicle may be presented to the vehicle operator. In the display overview of the vehicle portions of the vehicle associated with each of the predicted vehicle operation risks may be highlighted. The portions may be highlighted differently (using different colors, heavier/lighter shading, etc.) based on the priority level of their associated risks.

Systems and methods for visualizing predicted driving risk

Systems and methods of automatically controlling a user's data footprint are provided. Data associated with a user may be analyzed to determine an action the user is preparing to take. Based on the analysis, a potential risk associated with the action the user is preparing to take may be identified. The potential risk associated with the action the user is preparing to take may be, for example, a data security risk, a data privacy risk, a physical risk, a risk of damage to property, and/or a financial risk. A notification indicating the potential risk associated with the action the user is preparing to take may be provided to the user. The notification may include one or more suggestions for mitigating the potential risk associated with the action the user is preparing to take.

SAS solution to automatically control data footprint

Systems and methods of incentivizing the use of a safety device while operating a vehicle are provided. Data captured by sensors associated with a safety device may be analyzed to identify instances in which the safety device is used by an operator of a vehicle. Additionally, data captured by sensors associated with the vehicle may be analyzed to identify instances in which the vehicle is in motion. By comparing the instances in which the safety device is used by the operator of the vehicle to the instances in which the vehicle is in motion, instances in which the operator of the vehicle uses the safety device while operating the vehicle may be determined. Furthermore, a trend of the operator of the vehicle using the safety device while operating the vehicle may be identified. A notification related to the identified trend may be provided to the operator of the vehicle.

Systems and methods for incentivizing use of safety device

A method and system is provided for providing local business-based recommendations or search results to visitors. In response to a request for a digital map of a geographic area, the system determines whether a user is familiar with the geographic area based on the user's location history. In response to determining that the user is unfamiliar with the geographic area and therefore is a visitor of the geographic area, the system provides recommendations, suggestions, or search results to the user which includes local businesses which are of interest to the user. The local businesses may include local businesses which are related to a geographic search query provided by the user, or may include local businesses recommended by the system according to the time of day, time of year, events within the geographic area such as events stored in the user's virtual calendar, reviews of the local businesses, etc.

Method and system for providing recommendations and search results to visitors with a focus on local businesses

A smart ring charging system comprises one or more permanent magnets and a smart ring. The smart ring includes a ring-shaped housing, a power source disposed within the ring- shaped housing, and a charging circuit. The charging circuit includes an induction coil, and is configured to charge the power source when user motion changes magnetic flux from the one or more permanent magnets through the induction coil. The smart ring further includes a component, disposed within the ring-shaped housing and configured to draw energy from the power source, and further configured to perform one or more of the following operations: i) sense a physical phenomenon external to the ring-shaped housing, ii) send communication signals to a communication device external to the ring-shaped housing, and iii) implement a user interface.

Energy harvesting circuits for a smart ring

A video analytics based image verification system for obtaining initial vehicle profiles is presented. The system may include an external processing server that receives a location of a vehicle and proximate traffic information to determine whether it is safe for a user to obtain an initial vehicle profile. The external processing server may further determine first and second profile features from video data indicative of the vehicle. The external processing server may compare the second profile feature to an image verification indicator to generate an image verification score. A provider server may receive the first profile feature and the image verification score from the external processing server, and update a risk evaluation to include the initial vehicle profile if the image verification score is above an image verification threshold.

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San Francisco, CA, United States of America

Theobolt N Leung