Patents by Inventor Venkata Sreekanta Reddy ANNAPUREDDY

Venkata Sreekanta Reddy ANNAPUREDDY 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: 10970333
    Abstract: Systems and methods are provided for distributed video storage and search with edge computing. The method may comprise caching a first portion of data on a first device. The method may further comprise determining, at a second device, whether the first device has the first portion of data. The determining may be based on whether the first piece of data satisfies a specified criterion. The method may further comprise sending the data, or a portion of the data, and/or a representation of the data from the first device to a third device.
    Type: Grant
    Filed: August 8, 2017
    Date of Patent: April 6, 2021
    Assignee: NETRADYNE, INC.
    Inventors: Avneesh Agrawal, David Jonathan Julian, Venkata Sreekanta Reddy Annapureddy, Manoj Venkata Tutika, Vinay Kumar Rai, Sandeep Pandya, Adam David Kahn, Michael Campos, Badugu Naveen Chakravarthy, Ankur Nigam, Praveen Kumar, Tejeswara Rao Gudena, Karan Kishore
  • Publication number: 20210097855
    Abstract: Systems, devices and methods provide, implement, and use vision-based methods of sequence inference for a device affixed to a vehicle.
    Type: Application
    Filed: December 15, 2020
    Publication date: April 1, 2021
    Applicant: NETRADYNE, INC.
    Inventors: Venkata Sreekanta Reddy ANNAPUREDDY, Michael CAMPOS, Arvind YEDLA, David Jonathan JULIAN
  • Publication number: 20210003975
    Abstract: Systems and methods are provided for detecting a driving action that mitigates risk.
    Type: Application
    Filed: September 18, 2020
    Publication date: January 7, 2021
    Applicant: NETRADYNE, INC.
    Inventors: Michael Campos, Anubhav Gupta, Venkata Sreekanta Reddy Annapureddy, Vikram Gupta, Hisham Rahman, Sneha Aenugu, Priyam Bakliwal, Alexander Thomas, Adam David Kahn, David Jonathan Julian, Sandeep Pandya, Avneesh Agrawal
  • Patent number: 10885777
    Abstract: Systems, devices and methods provide, implement, and use vision-based methods of sequence inference for a device affixed to a vehicle.
    Type: Grant
    Filed: December 20, 2019
    Date of Patent: January 5, 2021
    Assignee: Netradyne, Inc.
    Inventors: Venkata Sreekanta Reddy Annapureddy, Michael Campos, Arvind Yedla, David Jonathan Julian
  • Publication number: 20200409389
    Abstract: The present disclosure provides systems and methods for mapping a determined path of travel. The path of travel may be mapped to a camera view of a camera affixed to a vehicle. In some embodiments, the path of travel may be mapped to another view that is based on a camera, such as a bird's eye view anchored to the camera's position at a given time. These systems and methods may determine the path of travel by incorporating data from later points in time.
    Type: Application
    Filed: September 16, 2020
    Publication date: December 31, 2020
    Applicant: NETRADYNE, INC.
    Inventors: David Jonathan Julian, Avneesh Agrawal, Venkata Sreekanta Reddy Annapureddy
  • Patent number: 10871783
    Abstract: The present disclosure provides systems and methods for mapping a determined path of travel. The path of travel may be mapped to a camera view of a camera affixed to a vehicle. In some embodiments, the path of travel may be mapped to another view that is based on a camera, such as a bird's eye view anchored to the camera's position at a given time. These systems and methods may determine the path of travel by incorporating data from later points in time.
    Type: Grant
    Filed: September 21, 2018
    Date of Patent: December 22, 2020
    Assignee: NETRADYNE, INC.
    Inventors: David Jonathan Julian, Avneesh Agrawal, Venkata Sreekanta Reddy Annapureddy
  • Patent number: 10782654
    Abstract: Systems and methods are provided for detecting a driving action that mitigates risk.
    Type: Grant
    Filed: December 3, 2019
    Date of Patent: September 22, 2020
    Assignee: Netradyne, Inc.
    Inventors: Michael Campos, Anubhav Gupta, Venkata Sreekanta Reddy Annapureddy, Vikram Gupta, Hisham Rahman, Sneha Aenugu, Priyam Bakliwal, Alexander Thomas, Adam David Kahn, David Jonathan Julian, Sandeep Pandya, Avneesh Agrawal
  • Publication number: 20200250440
    Abstract: The present disclosure provides systems and methods for determining a curve.
    Type: Application
    Filed: October 5, 2018
    Publication date: August 6, 2020
    Applicant: NETRADYNE, INC.
    Inventors: Michael Campos, Venkata Sreekanta Reddy Annapureddy, David Jonathan Julian, Veeresh Taranalli, Jonathan Albert Cox, Arvind Yedla
  • Publication number: 20200166897
    Abstract: Systems and methods are provided for detecting a driving action that mitigates risk.
    Type: Application
    Filed: December 3, 2019
    Publication date: May 28, 2020
    Applicant: NETRADYNE, INC.
    Inventors: Michael Campos, Anubhav Gupta, Venkata Sreekanta Reddy Annapureddy, Vikram Gupta, Hisham Rahman, Sneha Aenugu, Priyam Bakliwal, Alexander Thomas, Adam David Kahn, David Jonathan Julian, Sandeep Pandya, Avneesh Agrawal
  • Publication number: 20200160699
    Abstract: Systems, devices and methods provide, implement, and use vision-based methods of sequence inference for a device affixed to a vehicle.
    Type: Application
    Filed: December 20, 2019
    Publication date: May 21, 2020
    Applicant: NETRADYNE, INC.
    Inventors: Venkata Sreekanta Reddy Annapureddy, Michael Campos, Arvind Yedla, David Jonathan Julian
  • Publication number: 20200058218
    Abstract: Systems and methods are provided for determining cause of atypical traffic events and/or encouraging good driving behavior. The systems and methods may involve a camera sensor and/or inertial sensors to detect traffic events, as well analytical methods that may attribute a cause to the traffic event. The systems and methods include a processor that is configured to determine an occurrence of an atypical traffic event at or near a monitored vehicle; and determine a cause of the atypical traffic event based on data collected at the monitored vehicle, wherein the cause of the atypical traffic event is at least one of: a driver or control system of the monitored vehicle; a second driver or second control system of a second vehicle; and a road condition.
    Type: Application
    Filed: July 31, 2017
    Publication date: February 20, 2020
    Applicant: NetraDyne Inc.
    Inventors: David Jonathan JULIAN, Venkata Sreekanta Reddy ANNAPUREDDY, Michael CAMPOS, Avneesh AGRAWAL, Adam David KAHN, Sandeep PANDYA
  • Patent number: 10474949
    Abstract: A method for classifying an object includes applying multiple confidence values to multiple objects. The method also includes determining a metric based on the multiple confidence values. The method further includes determining a classification of a first object from the multiple objects based on a knowledge-graph when the metric is above a threshold.
    Type: Grant
    Filed: October 30, 2014
    Date of Patent: November 12, 2019
    Assignee: Qualcomm Incorporated
    Inventors: Somdeb Majumdar, Regan Blythe Towal, Sachin Subhash Talathi, David Jonathan Julian, Venkata Sreekanta Reddy Annapureddy
  • Patent number: 10410096
    Abstract: Context-based priors are utilized in machine learning networks (e.g., neural networks) for detecting objects in images. The likely locations of objects are estimated based on context labels. A machine learning network identifies a context label of an entire image. Based on the context label, the network selects a set of likely regions for detecting objects of interest in the image.
    Type: Grant
    Filed: October 13, 2015
    Date of Patent: September 10, 2019
    Assignee: Qualcomm Incorporated
    Inventors: Daniel Hendricus Franciscus Dijkman, Regan Blythe Towal, Venkata Sreekanta Reddy Annapureddy
  • Patent number: 10402720
    Abstract: A method of training a neural network includes encouraging one or more filters in the neural network to have a low rank.
    Type: Grant
    Filed: October 28, 2014
    Date of Patent: September 3, 2019
    Assignee: Qualcomm Incorporated
    Inventor: Venkata Sreekanta Reddy Annapureddy
  • Patent number: 10373050
    Abstract: A method of quantizing a floating point machine learning network to obtain a fixed point machine learning network using a quantizer may include selecting at least one moment of an input distribution of the floating point machine learning network. The method may also include determining quantizer parameters for quantizing values of the floating point machine learning network based at least in part on the at least one selected moment of the input distribution of the floating point machine learning network to obtain corresponding values of the fixed point machine learning network.
    Type: Grant
    Filed: October 22, 2015
    Date of Patent: August 6, 2019
    Assignee: QUALCOMM Incorporated
    Inventors: Dexu Lin, Venkata Sreekanta Reddy Annapureddy, David Edward Howard, David Jonathan Julian, Somdeb Majumdar, William Richard Bell, II
  • Patent number: 10360497
    Abstract: A method of operating a neural network includes determining a complexity, such as a number) of separable filters approximating a filter. The method further includes selectively applying a decomposed convolution to the filter based on the determined number of separable filters.
    Type: Grant
    Filed: October 28, 2014
    Date of Patent: July 23, 2019
    Assignee: QUALCOMM Incorporated
    Inventor: Venkata Sreekanta Reddy Annapureddy
  • Patent number: 10339447
    Abstract: A method for selecting a reduced number of model neurons in a neural network includes generating a first sparse set of non-zero decoding vectors. Each of the decoding vector is associated with a synapse between a first neuron layer and a second neuron layer. The method further includes implementing the neural network only with selected model neurons in the first neuron layer associated with the non-zero decoding vectors.
    Type: Grant
    Filed: July 31, 2014
    Date of Patent: July 2, 2019
    Assignee: QUALCOMM Incorporated
    Inventors: Sachin Subhash Talathi, David Jonathan Julian, Venkata Sreekanta Reddy Annapureddy
  • Publication number: 20190171668
    Abstract: Systems and methods are provided for distributed video storage and search with edge computing. The method may comprise caching a first portion of data on a first device. The method may further comprise determining, at a second device, whether the first device has the first portion of data. The determining may be based on whether the first piece of data satisfies a specified criterion. The method may further comprise sending the data, or a portion of the data, and/or a representation of the data from the first device to a third device.
    Type: Application
    Filed: August 8, 2017
    Publication date: June 6, 2019
    Inventors: Avneesh AGRAWAL, David Jonathan JULIAN, Venkata Sreekanta Reddy ANNAPUREDDY, Manoj Venkata TUTIKA, Vinay Kumar RAI, Sandeep PANDYA, Adam David KAHN, Michael CAMPOS, Badugu Naveen CHAKRAVARTHY, Ankur NIGAM, Praveen KUMAR, Tejeswara Rao GUDENA, Karan KISHORE
  • Patent number: 10262259
    Abstract: A method for selecting bit widths for a fixed point machine learning model includes evaluating a sensitivity of model accuracy to bit widths at each computational stage of the model. The method also includes selecting a bit width for parameters, and/or intermediate calculations in the computational stages of the mode. The bit width for the parameters and the bit width for the intermediate calculations may be different. The selected bit width may be determined based on the sensitivity evaluation.
    Type: Grant
    Filed: November 9, 2015
    Date of Patent: April 16, 2019
    Assignee: QUALCOMM Incorporated
    Inventors: Dexu Lin, Venkata Sreekanta Reddy Annapureddy, David Jonathan Julian, Casimir Matthew Wierzynski
  • Patent number: 10223635
    Abstract: Compressing a machine learning network, such as a neural network, includes replacing one layer in the neural network with compressed layers to produce the compressed network. The compressed network may be fine-tuned by updating weight values in the compressed layer(s).
    Type: Grant
    Filed: September 4, 2015
    Date of Patent: March 5, 2019
    Assignee: QUALCOMM Incorporated
    Inventors: Venkata Sreekanta Reddy Annapureddy, Daniel Hendricus Franciscus Dijkman, David Jonathan Julian