Patents by Inventor Lars Oleson

Lars Oleson 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: 12346481
    Abstract: In an aspect, a system for image redaction is presented. The system includes an image recording device configured to generate image data. A computing device is in communication with the image recording device. The computing device is configured to detect a face in the image data as a function of a facial recognition process. The computing device is configured to modify the image data. Modifying the image data includes reversibly obscuring a face crop from a remaining portion of the image data. The computing device is configured to communicate the modified image data to another computing device.
    Type: Grant
    Filed: January 8, 2024
    Date of Patent: July 1, 2025
    Assignee: Xailient
    Inventors: Herman Yau, Lars Oleson, Andy Atkinson, Mallika Patel
  • Patent number: 12045720
    Abstract: The invention provides systems and method for generating device-specific artificial neural network (ANN) models for distribution across user devices. Sample datasets are collected from devices in a particular environment or use case and include predictions by device-specific ANN models executing the user devices. The received datasets are used with existing datasets and stored ANN models to generate updated device-specific ANN models from each of the stored instances of the device ANN models based on the training data.
    Type: Grant
    Filed: September 13, 2021
    Date of Patent: July 23, 2024
    Assignee: XAILIENT
    Inventors: Lars Oleson, Shivanthan Yohanandan, Ryan Mccrea, Deepa Lakshmi Chandrasekharan, Sabina Pokhrel, Yousef Rabi, Zhenhua Zhang, Priyadharshini Devanand, Bernardo Rodeiro Croll, James J. Meyer
  • Publication number: 20240233445
    Abstract: In one aspect, a system for implementing image privacy includes an image recording device configured to generate image data. The system include a computing device in communication with the image recording device. The computing device is configured to detect a face of the image data using a facial recognition process. The computing device is configured to receive user authorization of a data process of the face, wherein the user authorization is unique to an identity of the face. The computing device is configured to communicate data of the face to another computing device as a function of the user authorization.
    Type: Application
    Filed: January 8, 2024
    Publication date: July 11, 2024
    Inventors: Herman Yau, Lars Oleson, Andy Atkinson, Mallika Patel
  • Publication number: 20240232431
    Abstract: In an aspect, a system for image redaction is presented. The system includes an image recording device configured to generate image data. A computing device is in communication with the image recording device. The computing device is configured to detect a face in the image data as a function of a facial recognition process. The computing device is configured to modify the image data. Modifying the image data includes reversibly obscuring a face crop from a remaining portion of the image data. The computing device is configured to communicate the modified image data to another computing device.
    Type: Application
    Filed: January 8, 2024
    Publication date: July 11, 2024
    Inventors: Herman Yau, Lars Oleson, Andy Atkinson, Mallika Patel
  • Patent number: 11710240
    Abstract: Techniques for identifying pixel groups representing objects in an image include using images having multiple groups of pixels, grouped such that each pixel group represents a zone of interest and determining a pixel value for pixels within each pixel group based on a comparison of pixel values for each individual pixel within the group. A probability heat map is derived from the pixel group values using a first neural network using the pixel group values as input and produces the heat map having a set of graded values indicative of the probability that the respective pixel group includes an object of interest. A zone of interest is identified based on whether the groups of graded values meet a determined probability threshold objects of interest are identified within the at least one zone of interest by way of a second neural network.
    Type: Grant
    Filed: July 27, 2022
    Date of Patent: July 25, 2023
    Assignee: Xailient
    Inventors: Shivanthan Yohanandan, Lars Oleson
  • Publication number: 20220366567
    Abstract: Techniques for identifying pixel groups representing objects in an image include using images having multiple groups of pixels, grouped such that each pixel group represents a zone of interest and determining a pixel value for pixels within each pixel group based on a comparison of pixel values for each individual pixel within the group. A probability heat map is derived from the pixel group values using a first neural network using the pixel group values as input and produces the heat map having a set of graded values indicative of the probability that the respective pixel group includes an object of interest. A zone of interest is identified based on whether the groups of graded values meet a determined probability threshold objects of interest are identified within the at least one zone of interest by way of a second neural network.
    Type: Application
    Filed: July 27, 2022
    Publication date: November 17, 2022
    Inventors: Shivanthan Yohanandan, Lars Oleson
  • Patent number: 11475572
    Abstract: Techniques for identifying pixel groups representing objects in an image include using images having multiple groups of pixels, grouped such that each pixel group represents a zone of interest and determining a pixel value for pixels within each pixel group based on a comparison of pixel values for each individual pixel within the group. A probability heat map is derived from the pixel group values using a first neural network using the pixel group values as input and produces the heat map having a set of graded values indicative of the probability that the respective pixel group includes an object of interest. A zone of interest is identified based on whether the groups of graded values meet a determined probability threshold objects of interest are identified within the at least one zone of interest by way of a second neural network.
    Type: Grant
    Filed: November 20, 2020
    Date of Patent: October 18, 2022
    Assignee: Xailient
    Inventors: Shivanthan Yohanandan, Lars Oleson
  • Patent number: 11275970
    Abstract: The invention provides systems and method for generating device-specific artificial neural network (ANN) models for distribution across user devices. Sample datasets are collected from devices in a particular environment or use case and include predictions by device-specific ANN models executing the user devices. The received datasets are used with existing datasets and stored ANN models to generate updated device-specific ANN models from each of the stored instances of the device ANN models based on the training data.
    Type: Grant
    Filed: May 7, 2021
    Date of Patent: March 15, 2022
    Assignee: Xailient
    Inventors: Lars Oleson, Shivanthan Yohanandan, Ryan Mccrea, Deepa Lakshmi Chandrasekharan, Sabina Pokhrel, Yousef Rabi, Zhenhua Zhang, Priyadharshini Devanand, Bernardo Rodeiro Croll, James J. Meyer
  • Publication number: 20210406606
    Abstract: The invention provides systems and method for generating device-specific artificial neural network (ANN) models for distribution across user devices. Sample datasets are collected from devices in a particular environment or use case and include predictions by device-specific ANN models executing the user devices. The received datasets are used with existing datasets and stored ANN models to generate updated device-specific ANN models from each of the stored instances of the device ANN models based on the training data.
    Type: Application
    Filed: September 13, 2021
    Publication date: December 30, 2021
    Inventors: Lars Oleson, Shivanthan Yohanandan, Ryan Mccrea, Deepa Lakshmi Chandrasekharan, Sabina Pokhrel, Yousef Rabi, Zhenhua Zhang, Priyadharshini Devanand, Bernardo Rodeiro Croll, James J. Meyer
  • Publication number: 20210406605
    Abstract: The invention provides systems and method for generating device-specific artificial neural network (ANN) models for distribution across user devices. Sample datasets are collected from devices in a particular environment or use case and include predictions by device-specific ANN models executing the user devices. The received datasets are used with existing datasets and stored ANN models to generate updated device-specific ANN models from each of the stored instances of the device ANN models based on the training data.
    Type: Application
    Filed: September 13, 2021
    Publication date: December 30, 2021
    Inventors: Lars Oleson, Shivanthan Yohanandan, Ryan Mccrea, Deepa Lakshmi Chandrasekharan, Sabina Pokhrel, Yousef Rabi, Zhenhua Zhang, Priyadharshini Devanand, Bernardo Rodeiro Croll, James J. Meyer
  • Publication number: 20210406607
    Abstract: The invention provides systems and method for generating device-specific artificial neural network (ANN) models for distribution across user devices. Sample datasets are collected from devices in a particular environment or use case and include predictions by device-specific ANN models executing the user devices. The received datasets are used with existing datasets and stored ANN models to generate updated device-specific ANN models from each of the stored instances of the device ANN models based on the training data.
    Type: Application
    Filed: September 13, 2021
    Publication date: December 30, 2021
    Inventors: Lars Oleson, Shivanthan Yohanandan, Ryan Mccrea, Deepa Lakshmi Chandrasekharan, Sabina Pokhrel, Yousef Rabi, Zhenhua Zhang, Priyadharshini Devanand, Bernardo Rodeiro Croll, James J. Meyer
  • Publication number: 20210350180
    Abstract: The invention provides systems and method for generating device-specific artificial neural network (ANN) models for distribution across user devices. Sample datasets are collected from devices in a particular environment or use case and include predictions by device-specific ANN models executing the user devices. The received datasets are used with existing datasets and stored ANN models to generate updated device-specific ANN models from each of the stored instances of the device ANN models based on the training data.
    Type: Application
    Filed: May 7, 2021
    Publication date: November 11, 2021
    Inventors: Lars Oleson, Shivanthan Yohanandan, Ryan Mccrea, Deepa Lakshmi Chandrasekharan, Sabina Pokhrel, Yousef Rabi, Zhenhua Zhang, Priyadharshini Devanand, Bernardo Rodeiro Croll, James J. Meyer
  • Publication number: 20210150721
    Abstract: Techniques for identifying pixel groups representing objects in an image include using images having multiple groups of pixels, grouped such that each pixel group represents a zone of interest and determining a pixel value for pixels within each pixel group based on a comparison of pixel values for each individual pixel within the group. A probability heat map is derived from the pixel group values using a first neural network using the pixel group values as input and produces the heat map having a set of graded values indicative of the probability that the respective pixel group includes an object of interest. A zone of interest is identified based on whether the groups of graded values meet a determined probability threshold objects of interest are identified within the at least one zone of interest by way of a second neural network.
    Type: Application
    Filed: November 20, 2020
    Publication date: May 20, 2021
    Inventors: Shivanthan Yohanandan, Lars Oleson