Patents by Inventor Shilpi Kumar

Shilpi Kumar 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).

  • Publication number: 20240161109
    Abstract: Aspects of the disclosure relate to a distributed evaluation platform. The distributed evaluation platform may train a machine learning model based on historical nonfungible tokens. The distributed evaluation platform may receive client information from a client device. The distributed evaluation platform may generate NFTs corresponding to the client information. The distributed evaluation platform may generate soft tokens corresponding to each NFT. The distributed evaluation platform may apply test cases to the soft tokens. The distributed evaluation platform may generate remedial tokens based on the soft tokens and remediation actions. The distributed evaluation platform may apply the test cases to the remedial tokens. The distributed evaluation platform may overwrite the NFTs using the remedial tokens. The distributed evaluation platform may send an event processing request to an event processing system. The distributed evaluation platform may refine the machine learning model based on the NFTs.
    Type: Application
    Filed: November 11, 2022
    Publication date: May 16, 2024
    Inventors: Sakshi Bakshi, Durga Prasad Kutthumolu, Shilpi Choudhari, Ankit Kumar, Saurabh Rajpal, Hwee Leng Toh
  • Publication number: 20240087104
    Abstract: One variation of a method for monitoring manufacture of assembly units includes: receiving selection of a target location hypothesized by a user to contain an origin of a defect in assembly units of an assembly type; accessing a feature map linking non-visual manufacturing features to physical locations within the assembly type; for each assembly unit, accessing an inspection image of the assembly unit recorded by an optical inspection station during production of the assembly unit, projecting the target location onto the inspection image, detecting visual features proximal the target location within the inspection image, and aggregating non-visual manufacturing features associated with locations proximal the target location and representing manufacturing inputs into the assembly unit based on the feature map; and calculating correlations between visual and non-visual manufacturing features associated with locations proximal the target location and the defect for the set of assembly units.
    Type: Application
    Filed: August 3, 2023
    Publication date: March 14, 2024
    Inventors: Samuel Bruce Weiss, Anna-Katrina Shedletsky, Simon Kozlov, Tilmann Bruckhaus, Shilpi Kumar, Isaac Sukin, Ian Theilacker, Brendan Green
  • Patent number: 11763443
    Abstract: One variation of a method for monitoring manufacture of assembly units includes: receiving selection of a target location hypothesized by a user to contain an origin of a defect in assembly units of an assembly type; accessing a feature map linking non-visual manufacturing features to physical locations within the assembly type; for each assembly unit, accessing an inspection image of the assembly unit recorded by an optical inspection station during production of the assembly unit, projecting the target location onto the inspection image, detecting visual features proximal the target location within the inspection image, and aggregating non-visual manufacturing features associated with locations proximal the target location and representing manufacturing inputs into the assembly unit based on the feature map; and calculating correlations between visual and non-visual manufacturing features associated with locations proximal the target location and the defect for the set of assembly units.
    Type: Grant
    Filed: August 30, 2021
    Date of Patent: September 19, 2023
    Assignee: Instrumental, Inc.
    Inventors: Samuel Bruce Weiss, Anna-Katrina Shedletsky, Simon Kozlov, Tilmann Bruckhaus, Shilpi Kumar, Isaac Sukin, Ian Theilacker, Brendan Green
  • Publication number: 20220335589
    Abstract: One variation of a method for monitoring manufacture of assembly units includes: receiving selection of a target location hypothesized by a user to contain an origin of a defect in assembly units of an assembly type; accessing a feature map linking non-visual manufacturing features to physical locations within the assembly type; for each assembly unit, accessing an inspection image of the assembly unit recorded by an optical inspection station during production of the assembly unit, projecting the target location onto the inspection image, detecting visual features proximal the target location within the inspection image, and aggregating non-visual manufacturing features associated with locations proximal the target location and representing manufacturing inputs into the assembly unit based on the feature map; and calculating correlations between visual and non-visual manufacturing features associated with locations proximal the target location and the defect for the set of assembly units.
    Type: Application
    Filed: June 30, 2022
    Publication date: October 20, 2022
    Inventors: Samuel Bruce Weiss, Anna-Katrina Shedletsky, Simon Kozlov, Tilmann Bruckhaus, Shilpi Kumar, Isaac Sukin, Ian Theilacker, Brendan Green
  • Publication number: 20210390678
    Abstract: One variation of a method for monitoring manufacture of assembly units includes: receiving selection of a target location hypothesized by a user to contain an origin of a defect in assembly units of an assembly type; accessing a feature map linking non-visual manufacturing features to physical locations within the assembly type; for each assembly unit, accessing an inspection image of the assembly unit recorded by an optical inspection station during production of the assembly unit, projecting the target location onto the inspection image, detecting visual features proximal the target location within the inspection image, and aggregating non-visual manufacturing features associated with locations proximal the target location and representing manufacturing inputs into the assembly unit based on the feature map; and calculating correlations between visual and non-visual manufacturing features associated with locations proximal the target location and the defect for the set of assembly units.
    Type: Application
    Filed: August 30, 2021
    Publication date: December 16, 2021
    Inventors: Samuel Bruce Weiss, Anna-Katrina Shedletsky, Simon Kozlov, Tilmann Bruckhaus, Shilpi Kumar, Isaac Sukin, Ian Theilacker, Brendan Green
  • Patent number: 11132787
    Abstract: One variation of a method for monitoring manufacture of assembly units includes: receiving selection of a target location hypothesized by a user to contain an origin of a defect in assembly units of an assembly type; accessing a feature map linking non-visual manufacturing features to physical locations within the assembly type; for each assembly unit, accessing an inspection image of the assembly unit recorded by an optical inspection station during production of the assembly unit, projecting the target location onto the inspection image, detecting visual features proximal the target location within the inspection image, and aggregating non-visual manufacturing features associated with locations proximal the target location and representing manufacturing inputs into the assembly unit based on the feature map; and calculating correlations between visual and non-visual manufacturing features associated with locations proximal the target location and the defect for the set of assembly units.
    Type: Grant
    Filed: July 9, 2019
    Date of Patent: September 28, 2021
    Assignee: Instrumental, Inc.
    Inventors: Samuel Bruce Weiss, Anna-Katrina Shedletsky, Simon Kozlov, Tilmann Bruckhaus, Shilpi Kumar, Isaac Sukin, Ian Theilacker, Brendan Green
  • Publication number: 20200013156
    Abstract: One variation of a method for monitoring manufacture of assembly units includes: receiving selection of a target location hypothesized by a user to contain an origin of a defect in assembly units of an assembly type; accessing a feature map linking non-visual manufacturing features to physical locations within the assembly type; for each assembly unit, accessing an inspection image of the assembly unit recorded by an optical inspection station during production of the assembly unit, projecting the target location onto the inspection image, detecting visual features proximal the target location within the inspection image, and aggregating non-visual manufacturing features associated with locations proximal the target location and representing manufacturing inputs into the assembly unit based on the feature map; and calculating correlations between visual and non-visual manufacturing features associated with locations proximal the target location and the defect for the set of assembly units.
    Type: Application
    Filed: July 9, 2019
    Publication date: January 9, 2020
    Inventors: Samuel Bruce Weiss, Anna-Katrina Shedletsky, Simon Kozlov, Tilmann Bruckhaus, Shilpi Kumar, Isaac Sukin, Ian Theilacker, Brendan Green