Patents by Inventor Jitendra Choudhary

Jitendra Choudhary 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).

  • SYSTEMS AND METHODS FOR USING MACHINE LEARNING FOR VEHICLE DAMAGE DETECTION AND REPAIR COST ESTIMATION
    Publication number: 20240289752
    Abstract: Systems and methods for estimating the repair cost of one or more instances of vehicle damage pictured in a digital image are disclosed herein. These systems and methods may first use a damage detection neural network (NN) model to determine location(s), type(s), intensit(ies), and corresponding repair part(s) for pictured damage. Then, a repair cost estimation NN model may be given a damage type, a damage intensity, and the repair part(s) needed to determine a repair cost estimation. The training of each of the damage detection NN model and the repair cost estimation NN model is described. The manner of outputting results data corresponding to the systems and methods disclosed herein is also described.
    Type: Application
    Filed: May 6, 2024
    Publication date: August 29, 2024
    Inventors: Salil Gandhi, Jitendra Choudhary, Saurabh Kshirsagar, Papiya Debnath
  • Systems and methods for using machine learning for vehicle damage detection and repair cost estimation
    Patent number: 12020217
    Abstract: Systems and methods for estimating the repair cost of one or more instances of vehicle damage pictured in a digital image are disclosed herein. These systems and methods may first use a damage detection neural network (NN) model to determine location(s), type(s), intensit(ies), and corresponding repair part(s) for pictured damage. Then, a repair cost estimation NN model may be given a damage type, a damage intensity, and the repair part(s) needed to determine a repair cost estimation. The training of each of the damage detection NN model and the repair cost estimation NN model is described. The manner of outputting results data corresponding to the systems and methods disclosed herein is also described.
    Type: Grant
    Filed: November 11, 2020
    Date of Patent: June 25, 2024
    Assignee: CDK GLOBAL, LLC
    Inventors: Salil Gandhi, Jitendra Choudhary, Saurabh Kshirsagar, Papiya Debnath
  • SYSTEMS AND METHODS FOR USING MACHINE LEARNING FOR VEHICLE DAMAGE DETECTION AND REPAIR COST ESTIMATION
    Publication number: 20220148050
    Abstract: Systems and methods for estimating the repair cost of one or more instances of vehicle damage pictured in a digital image are disclosed herein. These systems and methods may first use a damage detection neural network (NN) model to determine location(s), type(s), intensit(ies), and corresponding repair part(s) for pictured damage. Then, a repair cost estimation NN model may be given a damage type, a damage intensity, and the repair part(s) needed to determine a repair cost estimation. The training of each of the damage detection NN model and the repair cost estimation NN model is described. The manner of outputting results data corresponding to the systems and methods disclosed herein is also described.
    Type: Application
    Filed: November 11, 2020
    Publication date: May 12, 2022
    Inventors: Salil Gandhi, Jitendra Choudhary, Saurabh Kshirsagar, Papiya Debnath