Patents by Inventor Howard Lei

Howard Lei 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 detection using a combination of deep learning and non-deep learning techniques
    Patent number: 11948362
    Abstract: An object detection system includes at least one memory storing instructions, and at least one processor that, upon executing instructions stored in the memory, controls the object detection system to perform functions including inputting a first video frame and a second video frame from a camera; generating a first set of predicted object locations using only one of the first video frame and the second video frame; generating a second set of predicted object locations based on pixel differences between the first video frame and the second video frame; and determining a final set of object locations based on the first set of predicted object locations and the second set of predicted object locations.
    Type: Grant
    Filed: October 31, 2018
    Date of Patent: April 2, 2024
    Assignee: Arcus Holding A/S
    Inventors: Howard Lei, Edwin Heredia
  • OBJECT DETECTION USING A COMBINATION OF DEEP LEARNING AND NON-DEEP LEARNING TECHNIQUES
    Publication number: 20220004770
    Abstract: An object detection system includes at least one memory storing instructions, and at least one processor that, upon executing instructions stored in the memory, controls the object detection system to perform functions including inputting a first video frame and a second video frame from a camera; generating a first set of predicted object locations using only one of the first video frame and the second video frame; generating a second set of predicted object locations based on pixel differences between the first video frame and the second video frame; and determining a final set of object locations based on the first set of predicted object locations and the second set of predicted object locations.
    Type: Application
    Filed: October 31, 2018
    Publication date: January 6, 2022
    Inventors: Howard Lei, Edwin Heredia
  • License plate reader using optical character recognition on plural detected regions
    Patent number: 10719743
    Abstract: A license plate reader uses a neural network to determine a plurality of predicted license plate regions within an image. The plurality of predicted license plate regions is transferred to an optical character recognition unit that performs optical character recognition on the plurality of predicted license plate regions to output a plurality of predicted character sequences. The license plate reader receives the output of the optical character recognition unit that contains the plurality of predicted character sequences and analyzes the plurality of predicted character sequences to determine a best estimate for a character sequence in the image.
    Type: Grant
    Filed: April 27, 2018
    Date of Patent: July 21, 2020
    Assignee: Arcus Holding A/S
    Inventors: Howard Lei, Edwin Heredia
  • LICENSE PLATE READER USING OPTICAL CHARACTER RECOGNITION ON PLURAL DETECTED REGIONS
    Publication number: 20190228276
    Abstract: A license plate reader uses a neural network to determine a plurality of predicted license plate regions within an image. The plurality of predicted license plate regions is transferred to an optical character recognition unit that performs optical character recognition on the plurality of predicted license plate regions to output a plurality of predicted character sequences. The license plate reader receives the output of the optical character recognition unit that contains the plurality of predicted character sequences and analyzes the plurality of predicted character sequences to determine a best estimate for a character sequence in the image.
    Type: Application
    Filed: April 27, 2018
    Publication date: July 25, 2019
    Inventors: Howard LEI, Edwin HEREDIA
  • Room identification using acoustic features in a recording
    Patent number: 9449613
    Abstract: Analysis of the audio component in multimedia data is disclosed. Rooms can be described through room impulse responses (RIR), the “fingerprint” of a specific room. The method uses machine learning techniques to identify rooms from ordinary audio recordings.
    Type: Grant
    Filed: December 5, 2013
    Date of Patent: September 20, 2016
    Assignee: AUDEME LLC
    Inventors: Nils Peters, Howard Lei, Gerald Friedland
  • ROOM IDENTIFICATION USING ACOUSTIC FEATURES IN A RECORDING
    Publication number: 20140161270
    Abstract: Analysis of the audio component in multimedia data is disclosed. Rooms can be described through room impulse responses (RIR), the “fingerprint” of a specific room. The method uses machine learning techniques to identify rooms from ordinary audio recordings.
    Type: Application
    Filed: December 5, 2013
    Publication date: June 12, 2014
    Applicant: International Computer Science Institute
    Inventors: Nils PETERS, Howard Lei, Gerald Friedland