Patents by Inventor Siddharth Sakhadeo

Siddharth Sakhadeo 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).

  • OBJECT IDENTIFICATION IN DIGITAL IMAGES
    Publication number: 20230237670
    Abstract: In an example, a digital image comprising a representation of multiple physical objects is received at a client computer. The digital image is copied into a temporary canvas. The digital image is then analyzed to identify a plurality of potential object areas, each of the potential object areas having pixels with colors similar to the other pixels within the potential object area. A minimum bounding region for each of the identified potential object areas is identified, the minimum bounding region being a smallest region of a particular shape that bounds the corresponding potential object area. The pixels within a selected minimum bounding region are cropped from the digital image. The pixels within the selected minimum bounding region are then sent to an object recognition service on a server to identify an object represented by the pixels within the selected minimum bounding region.
    Type: Application
    Filed: March 31, 2023
    Publication date: July 27, 2023
    Inventors: Yoni Medoff, Siddharth Sakhadeo, Deepu Joseph
  • Object identification in digital images
    Patent number: 11645758
    Abstract: In an example, a digital image comprising a representation of multiple physical objects is received at a client computer. The digital image is copied into a temporary canvas. The digital image is then analyzed to identify a plurality of potential object areas, each of the potential object areas having pixels with colors similar to the other pixels within the potential object area. A minimum bounding region for each of the identified potential object areas is identified, the minimum bounding region being a smallest region of a particular shape that bounds the corresponding potential object area. The pixels within a selected minimum bounding region are cropped from the digital image. The pixels within the selected minimum bounding region are then sent to an object recognition service on a server to identify an object represented by the pixels within the selected minimum bounding region.
    Type: Grant
    Filed: October 30, 2020
    Date of Patent: May 9, 2023
    Assignee: eBay Inc.
    Inventors: Yoni Medoff, Siddharth Sakhadeo, Deepu Joseph
  • OBJECT IDENTIFICATION IN DIGITAL IMAGES
    Publication number: 20210049768
    Abstract: In an example, a digital image comprising a representation of multiple physical objects is received at a client computer. The digital image is copied into a temporary canvas. The digital image is then analyzed to identify a plurality of potential object areas, each of the potential object areas having pixels with colors similar to the other pixels within the potential object area. A minimum bounding region for each of the identified potential object areas is identified, the minimum bounding region being a smallest region of a particular shape that bounds the corresponding potential object area. The pixels within a selected minimum bounding region are cropped from the digital image. The pixels within the selected minimum bounding region are then sent to an object recognition service on a server to identify an object represented by the pixels within the selected minimum bounding region.
    Type: Application
    Filed: October 30, 2020
    Publication date: February 18, 2021
    Inventors: Yoni Medoff, Siddharth Sakhadeo, Deepu Joseph
  • Object identification in digital images
    Patent number: 10861162
    Abstract: In an example, a digital image comprising a representation of multiple physical objects is received at a client computer. The digital image is copied into a temporary canvas. The digital image is then analyzed to identify a plurality of potential object areas, each of the potential object areas having pixels with colors similar to the other pixels within the potential object area. A minimum bounding region for each of the identified potential object areas is identified, the minimum bounding region being a smallest region of a particular shape that bounds the corresponding potential object area. The pixels within a selected minimum bounding region are cropped from the digital image. The pixels within the selected minimum bounding region are then sent to an object recognition service on a server to identify an object represented by the pixels within the selected minimum bounding region.
    Type: Grant
    Filed: December 8, 2017
    Date of Patent: December 8, 2020
    Assignee: eBay Inc.
    Inventors: Yoni Medoff, Siddharth Sakhadeo, Deepu Joseph
  • OBJECT IDENTIFICATION IN DIGITAL IMAGES
    Publication number: 20190180446
    Abstract: In an example, a digital image comprising a representation of multiple physical objects is received at a client computer. The digital image is copied into a temporary canvas. The digital image is then analyzed to identify a plurality of potential object areas, each of the potential object areas having pixels with colors similar to the other pixels within the potential object area. A minimum bounding region for each of the identified potential object areas is identified, the minimum bounding region being a smallest region of a particular shape that bounds the corresponding potential object area. The pixels within a selected minimum bounding region are cropped from the digital image. The pixels within the selected minimum bounding region are then sent to an object recognition service on a server to identify an object represented by the pixels within the selected minimum bounding region.
    Type: Application
    Filed: December 8, 2017
    Publication date: June 13, 2019
    Inventors: Yoni Medoff, Siddharth Sakhadeo, Deepu Joseph