Patents by Inventor Alireza Dehghani

Alireza Dehghani 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: 10574890
    Abstract: An example mobile camera includes a first convolutional neural network to recognize a first feature in first sensor data in response to the first feature being detected in the first sensor data; a state transitioner to transition the mobile camera from a first feature detection state to a second feature detection state in response to the first convolutional neural network recognizing the first feature, the mobile camera to operate using higher power consumption in the second feature detection state than in the first feature detection state; a second convolutional neural network to recognize a second feature in second sensor data in the second feature detection state; and a communications interface to send to an external device at least one of first metadata corresponding to the first feature or second metadata corresponding to the second feature.
    Type: Grant
    Filed: January 12, 2018
    Date of Patent: February 25, 2020
    Assignee: Movidius Ltd.
    Inventors: David Moloney, Alireza Dehghani
  • Publication number: 20190340464
    Abstract: Systems and methods are provided for image classification using histograms of oriented gradients (HoG) in conjunction with a trainer. The efficiency of the process is greatly increased by first establishing a bitmap which identifies a subset of the pixels in the HoG window as including relevant foreground information, and limiting the HoG calculation and comparison process to only the pixels included in the bitmap.
    Type: Application
    Filed: February 8, 2019
    Publication date: November 7, 2019
    Inventors: David MOLONEY, Alireza DEHGHANI
  • Publication number: 20190279082
    Abstract: An example includes sending first weight values to first client devices; accessing sets of updated weight values provided by the first client devices, the updated weight values generated by the first client devices training respective first convolutional neural networks (CNNs) based on: the first weight values, and sensor data generated at the client devices; testing performance in a second CNN of at least one of: the sets of the updated weight values, or a combination of ones of the updated weight values from the sets of the updated weight values; selecting server-synchronized weight (SSW) values from the at least one of: the sets of the updated weight values, or a combination of ones of the updated weight values from the sets of the updated weight values; and sending the SSW values to at least one of: at least some of the first client devices, or second client devices.
    Type: Application
    Filed: March 7, 2018
    Publication date: September 12, 2019
    Inventors: David Moloney, Alireza Dehghani, Aubrey Keith Dunne
  • Publication number: 20190222756
    Abstract: An example mobile camera includes a first convolutional neural network to recognize a first feature in first sensor data in response to the first feature being detected in the first sensor data; a state transitioner to transition the mobile camera from a first feature detection state to a second feature detection state in response to the first convolutional neural network recognizing the first feature, the mobile camera to operate using higher power consumption in the second feature detection state than in the first feature detection state; a second convolutional neural network to recognize a second feature in second sensor data in the second feature detection state; and a communications interface to send to an external device at least one of first metadata corresponding to the first feature or second metadata corresponding to the second feature.
    Type: Application
    Filed: January 12, 2018
    Publication date: July 18, 2019
    Inventors: David Moloney, Alireza Dehghani
  • Publication number: 20190156141
    Abstract: Methods, systems, apparatus and articles of manufacture are disclosed herein to improve image classification with boundary-bitmaps. An example disclosed apparatus includes a silhouette engine to identify a foreground silhouette within the image, generate a bounding box based on borders of the foreground silhouette, and generate an encoded silhouette matrix which identifies cells of a foreground and cells of a background, a convolution cell selector to convolve the encoded silhouette matrix to generate a convoluted bitmap matrix, and a filter cell selector to improve image classification efficiency by identifying eligible blocks of the convoluted bitmap matrix by retaining first respective cells of the convoluted bitmap matrix that satisfy a cell retention threshold, and removing second respective cells of the convoluted bitmap matrix that do not satisfy the cell retention threshold.
    Type: Application
    Filed: June 6, 2017
    Publication date: May 23, 2019
    Applicant: Linear Algebra Technologies Limited
    Inventors: David Moloney, Alireza Dehghani
  • Patent number: 10248884
    Abstract: Systems and methods are provided for image classification using histograms of oriented gradients (HoG) in conjunction with a trainer. The efficiency of the process is greatly increased by first establishing a bitmap which identifies a subset of the pixels in the HoG window as including relevant foreground information, and limiting the HoG calculation and comparison process to only the pixels included in the bitmap.
    Type: Grant
    Filed: April 10, 2017
    Date of Patent: April 2, 2019
    Assignee: Linear Algebra Technologies Limited
    Inventors: David Moloney, Alireza Dehghani
  • Publication number: 20170277972
    Abstract: Systems and methods are provided for image classification using histograms of oriented gradients (HoG) in conjunction with a trainer. The efficiency of the process is greatly increased by first establishing a bitmap which identifies a subset of the pixels in the HoG window as including relevant foreground information, and limiting the HoG calculation and comparison process to only the pixels included in the bitmap.
    Type: Application
    Filed: April 10, 2017
    Publication date: September 28, 2017
    Inventors: David MOLONEY, Alireza DEHGHANI
  • Patent number: 9639777
    Abstract: Systems and methods are provided for image classification using histograms of oriented gradients (HoG) in conjunction with a trainer. The efficiency of the process is greatly increased by first establishing a bitmap which identifies a subset of the pixels in the HoG window as including relevant foreground information, and limiting the HoG calculation and comparison process to only the pixels included in the bitmap.
    Type: Grant
    Filed: December 17, 2015
    Date of Patent: May 2, 2017
    Assignee: LINEAR ALGEBRA TECHNOLOGIES LIMITED
    Inventors: David Moloney, Alireza Dehghani