Patents by Inventor Sunil RAMANA KERI

Sunil RAMANA KERI 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).

  • Methods and systems for image based anomaly detection
    Patent number: 11200427
    Abstract: The invention provides methods, systems and computer program products for image based detection of occurrence of an anomalous event within a process environment. Detection of occurrence of an anomalous event comprises (i) receiving a first set of information from a first image acquisition device, (ii) analyzing the first set of information for determining whether the first image frame images an occurrence of an anomalous event, (iii) receiving a second set of information generated at a second device, wherein the second set of information represents a state of the process environment, (iv) analyzing the second set of information for determining whether an anomalous event has occurred, and (v) generating an anomaly identification decision based at least on output from analysis of the second set of information.
    Type: Grant
    Filed: March 29, 2018
    Date of Patent: December 14, 2021
    Assignee: YOKOGAWA ELECTRIC CORPORATION
    Inventors: Subramanian Periaswamy, Nabil Ahmed Syed, Sunil Ramana Keri
  • METHODS AND SYSTEMS FOR IMAGE BASED ANOMALY DETECTION
    Publication number: 20200019790
    Abstract: The invention provides methods, systems and computer program products for image based detection of occurrence of an anomalous event within a process environment. Detection of occurrence of an anomalous event comprises (i) receiving a first set of information from a first image acquisition device, (ii) analyzing the first set of information for determining whether the first image frame images an occurrence of an anomalous event, (iii) receiving a second set of information generated at a second device, wherein the second set of information represents a state of the process environment, (iv) analyzing the second set of information for determining whether an anomalous event has occurred, and (v) generating an anomaly identification decision based at least on output from analysis of the second set of information.
    Type: Application
    Filed: March 29, 2018
    Publication date: January 16, 2020
    Applicant: YOKOGAWA ELECTRIC CORPORATION
    Inventors: Subramanian PERIASWAMY, Nabil Ahmed SYED, Sunil RAMANA KERI