Patents by Inventor Vikas Muppiddi Reddy

Vikas Muppiddi Reddy 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).

  • Patent number: 11055505
    Abstract: In a system and method of recognizing a barcode from a stream of video frames, a processor-implemented camera module receives a stream of video frames, with at least one video frame including a barcode. A processor-implemented barcode blur estimate module estimates an amount of defocus blur in a video frame. The processor-implemented barcode blur estimate module further estimates an identity of the barcode. A processor-implemented barcode localization module identifies a region of the video frame containing the barcode. A processor-implemented barcode geometric modeler module generates a geometric model of the barcode that includes an identified barcode deformity. A processor-implemented barcode decoder module decodes the barcode from the video frame using the estimated amount of defocus blur, the estimated identity of the barcode, and the geometric model of the barcode.
    Type: Grant
    Filed: August 12, 2019
    Date of Patent: July 6, 2021
    Assignee: eBay Inc.
    Inventors: Jeffrey Roger Powers, Vikas Muppiddi Reddy
  • Publication number: 20200104559
    Abstract: In a system and method of recognizing a barcode from a stream of video frames, a processor-implemented camera module receives a stream of video frames, with at least one video frame including a barcode. A processor-implemented barcode blur estimate module estimates an amount of defocus blur in a video frame. The processor-implemented barcode blur estimate module further estimates an identity of the barcode. A processor-implemented barcode localization module identifies a region of the video frame containing the barcode. A processor-implemented barcode geometric modeler module generates a geometric model of the barcode that includes an identified barcode deformity. A processor-implemented barcode decoder module decodes the barcode from the video frame using the estimated amount of defocus blur, the estimated identity of the barcode, and the geometric model of the barcode.
    Type: Application
    Filed: August 12, 2019
    Publication date: April 2, 2020
    Inventors: Jeffrey Roger Powers, Vikas Muppiddi Reddy
  • Patent number: 10410030
    Abstract: In a system and method of recognizing a barcode from a stream of video frames, a processor-implemented camera module receives a stream of video frames, with at least one video frame including a barcode. A processor-implemented barcode blur estimate module estimates an amount of defocus blur in a video frame. The processor-implemented barcode blur estimate module further estimates an identity of the barcode. A processor-implemented barcode localization module identifies a region of the video frame containing the barcode. A processor-implemented barcode geometric modeler module generates a geometric model of the barcode that includes an identified barcode deformity. A processor-implemented barcode decoder module decodes the barcode from the video frame using the estimated amount of defocus blur, the estimated identity of the barcode, and the geometric model of the barcode.
    Type: Grant
    Filed: August 24, 2015
    Date of Patent: September 10, 2019
    Assignee: eBay Inc.
    Inventors: Jeffrey Roger Powers, Vikas Muppiddi Reddy
  • Patent number: 9275264
    Abstract: In a system and method of estimating and classifying a barcode using heuristic and statistical measures, a classification determination is generated for each of a plurality of estimated barcode digits that correspond to a decoded barcode estimation. The classification determination is selected from one of a first classification determination and a second classification determination. The first classification determinations among a plurality of estimation determinations are aggregated. The aggregated first classification determinations are compared to a first predetermined threshold to determine a validity of the decoded barcode estimation.
    Type: Grant
    Filed: September 16, 2014
    Date of Patent: March 1, 2016
    Assignee: eBay Inc.
    Inventors: Jeffrey Roger Powers, Vikas Muppiddi Reddy
  • Publication number: 20150363628
    Abstract: In a system and method of recognizing a barcode from a stream of video frames, a processor-implemented camera module receives a stream of video frames, with at least one video frame including a barcode. A processor-implemented barcode blur estimate module estimates an amount of defocus blur in a video frame. The processor-implemented barcode blur estimate module further estimates an identity of the barcode. A processor-implemented barcode localization module identifies a region of the video frame containing the barcode. A processor-implemented barcode geometric modeler module generates a geometric model of the barcode that includes an identified barcode deformity. A processor-implemented barcode decoder module decodes the barcode from the video frame using the estimated amount of defocus blur, the estimated identity of the barcode, and the geometric model of the barcode.
    Type: Application
    Filed: August 24, 2015
    Publication date: December 17, 2015
    Inventors: Jeffrey Roger Powers, Vikas Muppiddi Reddy
  • Patent number: 9117131
    Abstract: In a system and method of recognizing a barcode from a stream of video frames, a processor-implemented camera module receives a stream of video frames, with at least one video frame including a barcode. A processor-implemented barcode blur estimate module estimates an amount of defocus blur in a video frame. The processor-implemented barcode blur estimate module further estimates an identity of the barcode. A processor-implemented barcode localization module identifies a region of the video frame containing the barcode. A processor-implemented barcode geometric modeler module generates a geometric model of the barcode that includes an identified barcode deformity. A processor-implemented barcode decoder module decodes the barcode from the video frame using the estimated amount of defocus blur, the estimated identity of the barcode, and the geometric model of the barcode.
    Type: Grant
    Filed: September 16, 2014
    Date of Patent: August 25, 2015
    Assignee: eBay, Inc.
    Inventors: Jeffrey Roger Powers, Vikas Muppiddi Reddy
  • Publication number: 20150001295
    Abstract: In a system and method of estimating and classifying a barcode using heuristic and statistical measures, a classification determination is generated for each of a plurality of estimated barcode digits that correspond to a decoded barcode estimation. The classification determination is selected from one of a first classification determination and a second classification determination. The first classification determinations among a plurality of estimation determinations are aggregated. The aggregated first classification determinations are compared to a first predetermined threshold to determine a validity of the decoded barcode estimation.
    Type: Application
    Filed: September 16, 2014
    Publication date: January 1, 2015
    Inventors: Jeffrey Roger Powers, Vikas Muppiddi Reddy
  • Publication number: 20150001296
    Abstract: In a system and method of recognizing a barcode from a stream of video frames, a processor-implemented camera module receives a stream of video frames, with at least one video frame including a barcode. A processor-implemented barcode blur estimate module estimates an amount of defocus blur in a video frame. The processor-implemented barcode blur estimate module further estimates an identity of the barcode. A processor-implemented barcode localization module identifies a region of the video frame containing the barcode. A processor-implemented barcode geometric modeler module generates a geometric model of the barcode that includes an identified barcode deformity. A processor-implemented barcode decoder module decodes the barcode from the video frame using the estimated amount of defocus blur, the estimated identity of the barcode, and the geometric model of the barcode.
    Type: Application
    Filed: September 16, 2014
    Publication date: January 1, 2015
    Inventors: Jeffrey Roger Powers, Vikas Muppiddi Reddy
  • Patent number: 8851378
    Abstract: In a system and method of recognizing a barcode from a stream of video frames, a processor-implemented camera module receives a stream of video frames, with at least one video frame including a barcode. A processor-implemented barcode blur estimate module estimates an amount of defocus blur in a video frame. The processor-implemented barcode blur estimate module further estimates an identity of the barcode. A processor-implemented barcode localization module identifies a region of the video frame containing the barcode. A processor-implemented barcode geometric modeler module generates a geometric model of the barcode that includes an identified barcode deformity. A processor-implemented barcode decoder module decodes the barcode from the video frame using the estimated amount of defocus blur, the estimated identity of the barcode, and the geometric model of the barcode.
    Type: Grant
    Filed: September 17, 2010
    Date of Patent: October 7, 2014
    Assignee: eBay Inc.
    Inventors: Jeffrey Roger Powers, Vikas Muppiddi Reddy
  • Patent number: 8851382
    Abstract: In a system and method of estimating and classifying a barcode using heuristic and statistical measures, a classification determination is generated for each of a plurality of estimated barcode digits that correspond to a decoded barcode estimation. The classification determination is selected from one of a first classification determination and a second classification determination. The first classification determinations among a plurality of estimation determinations are aggregated. The aggregated first classification determinations are compared to a first predetermined threshold to determine a validity of the decoded barcode estimation.
    Type: Grant
    Filed: September 17, 2010
    Date of Patent: October 7, 2014
    Assignee: eBay Inc.
    Inventors: Jeffrey Roger Powers, Vikas Muppiddi Reddy
  • Publication number: 20110068175
    Abstract: In a system and method of estimating and classifying a barcode using heuristic and statistical measures, a classification determination is generated for each of a plurality of estimated barcode digits that correspond to a decoded barcode estimation. The classification determination is selected from one of a first classification determination and a second classification determination. The first classification determinations among a plurality of estimation determinations are aggregated. The aggregated first classification determinations are compared to a first predetermined threshold to determine a validity of the decoded barcode estimation.
    Type: Application
    Filed: September 17, 2010
    Publication date: March 24, 2011
    Applicant: eBay Inc.
    Inventors: Jeffrey Roger Powers, Vikas Muppiddi Reddy
  • Publication number: 20110068173
    Abstract: In a system and method of recognizing a barcode from a stream of video frames, a processor-implemented camera module receives a stream of video frames, with at least one video frame including a barcode. A processor-implemented barcode blur estimate module estimates an amount of defocus blur in a video frame. The processor-implemented barcode blur estimate module further estimates an identity of the barcode. A processor-implemented barcode localization module identifies a region of the video frame containing the barcode. A processor-implemented barcode geometric modeler module generates a geometric model of the barcode that includes an identified barcode deformity. A processor-implemented barcode decoder module decodes the barcode from the video frame using the estimated amount of defocus blur, the estimated identity of the barcode, and the geometric model of the barcode.
    Type: Application
    Filed: September 17, 2010
    Publication date: March 24, 2011
    Applicant: eBay Inc.
    Inventors: Jeffrey Roger Powers, Vikas Muppiddi Reddy