Patents by Inventor Tejas Vora

Tejas Vora has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Reconciling outlier telematics across monitored populations
    Patent number: 10685508
    Abstract: A computing system implements a telematics service that obtains a set of vehicle telematics data for each vehicle of a population. Within each set of vehicle telematics data, a set of time-based measurements for a measurement type is identified. The set of time-based measurements identified for each vehicle are combined to obtain a combined set of time-based observations for the measurement type across the population of vehicles or a sub-set of the population defined by vehicle make, model, and/or year of production. An outlier observation is identified from among the combined set of time-based observations. A determination is made whether the outlier observation is part of a temporary deviation or a persistent deviation. For a temporary deviation, an impact of the outlier observation on the set of time-based measurements is reduced. For a persistent deviation, the outlier observation is programmatically characterized.
    Type: Grant
    Filed: May 17, 2017
    Date of Patent: June 16, 2020
    Assignee: MOJ.IO, Inc.
    Inventors: Narayan Sainaney, Tejas Vora
  • RECONCILING OUTLIER TELEMATICS ACROSS MONITORED POPULATIONS
    Publication number: 20190139334
    Abstract: A computing system implements a telematics service that obtains a set of vehicle telematics data for each vehicle of a population. Within each set of vehicle telematics data, a set of time-based measurements for a measurement type is identified. The set of time-based measurements identified for each vehicle are combined to obtain a combined set of time-based observations for the measurement type across the population of vehicles or a sub-set of the population defined by vehicle make, model, and/or year of production. An outlier observation is identified from among the combined set of time-based observations. A determination is made whether the outlier observation is part of a temporary deviation or a persistent deviation. For a temporary deviation, an impact of the outlier observation on the set of time-based measurements is reduced. For a persistent deviation, the outlier observation is programmatically characterized.
    Type: Application
    Filed: May 17, 2017
    Publication date: May 9, 2019
    Applicant: MOJ.IO INC.
    Inventors: Narayan Sainaney, Tejas Vora
  • Analyzing telematics data within heterogeneous vehicle populations
    Patent number: 9846979
    Abstract: A computing system implements a telematics service that obtains a set of vehicle telematics data for each vehicle of a population. Within each set of vehicle telematics data, a set of time-based measurements for a measurement type is identified. The set of time-based measurements identified for each vehicle are combined to obtain a combined set of time-based observations for the measurement type across the population of vehicles or a sub-set of the population defined by vehicle make, model, and/or year of production. An outlier observation is identified from among the combined set of time-based observations. A determination is made whether the outlier observation is part of a temporary deviation or a persistent deviation. For a temporary deviation, an impact of the outlier observation on the set of time-based measurements is reduced. For a persistent deviation, the outlier observation is programmatically characterized.
    Type: Grant
    Filed: June 16, 2016
    Date of Patent: December 19, 2017
    Assignee: Moj.io Inc.
    Inventors: Narayan Sainaney, Tejas Vora