Patents by Inventor GIL ZOHAV

GIL ZOHAV 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).

  • System and method for detecting defects on imaged items
    Patent number: 11982628
    Abstract: Embodiments of the invention provide a machine learning based detection system, in which defects can be detected even if the system was not trained for these defects and even in items that were not used to train the system, thereby offering an inherently flexible detection system.
    Type: Grant
    Filed: May 10, 2019
    Date of Patent: May 14, 2024
    Assignee: INSPEKTO A.M.V. LTD.
    Inventors: Yonatan Hyatt, Gil Zohav, Ran Ginsburg, Dagan Eshar
  • ADAPTIVE SYSTEM AND METHOD FOR INSPECTION OF IMAGED ITEMS
    Publication number: 20230281791
    Abstract: Abstract: A visual inspection system and method are provided in which a reference image of an item is processed and based on the processing a pre-tramed model is adjusted to obtain an adapted model. The adapted model, rather than the pre-tramed model, is then used to process an inspection image of a same-type item, to obtain inspection information which may then be output to a user.
    Type: Application
    Filed: August 3, 2021
    Publication date: September 7, 2023
    Inventors: Yonatan HYATT, Dagan ESHAR, Ran GINSBURG, Gil ZOHAV
  • SYSTEM AND METHOD FOR DETECTING DEFECTS ON IMAGED ITEMS
    Publication number: 20210233229
    Abstract: Embodiments of the invention provide a machine learning based detection system, in which defects can be detected even if the system was not trained for these defects and even in items that were not used to train the system, thereby offering an inherently flexible detection system.
    Type: Application
    Filed: May 10, 2019
    Publication date: July 29, 2021
    Inventors: YONATAN HYATT, GIL ZOHAV, RAN GINSBURG, DAGAN ESHAR