Patents by Inventor Daniel Funken

Daniel Funken 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: 12347221
    Abstract: Presented herein are systems and methods for the employment of machine learning models for image processing as may be performed by computing devices associated with an end user. A method may include obtaining video data comprising a plurality of frames including a document of a document type. The method may include executing an object recognition engine of a machine-learning architecture using image data of the plurality of frames, the object recognition engine trained to detect edges of documents. The method may include identifying, based on the edge detection, a plurality of boundaries for the document. The method may include validating, based on the plurality of boundaries, the document as the document type. The method may include transmitting via one or more networks, to a computer remote from the computing device, responsive to the validation of the type of document, the image data for the plurality of frames depicting the document.
    Type: Grant
    Filed: November 11, 2024
    Date of Patent: July 1, 2025
    Assignee: Citibank, N.A.
    Inventors: Ashutosh K. Sureka, Venkata Sesha Kiran Kumar Adimatyam, Miriam Silver, Daniel Funken
  • Patent number: 12315126
    Abstract: Presented herein are systems and methods for the employment of machine learning models for image processing. A method may include a capture of a video feed including image data of a document at a client device. The client device can provide the video feed to another computing device. The method can include, by the client device or the other computing device object recognition for recognizing a type of document and capturing an image exceeding a quality threshold of the document amongst the frames within the video feed. The method may further include the execution of other image processing operations on the image data to improve the quality of the image or features extracted therefrom. The method may further include anti-fraud detection or scoring operations to determine an amount of risk associated with the image data.
    Type: Grant
    Filed: April 8, 2024
    Date of Patent: May 27, 2025
    Assignee: Citibank, N.A.
    Inventors: Ashutosh K. Sureka, Venkata Sesha Kiran Kumar Adimatyam, Miriam Silver, Daniel Funken
  • Patent number: 12272111
    Abstract: Presented herein are systems and methods for the employment of machine learning models for image processing. A method may include a capture of a video feed including image data of a document at a client device. The client device can provide the video feed to another computing device. The method can include, by the client device or the other computing device object recognition for recognizing a type of document and capturing an image exceeding a quality threshold of the document amongst the frames within the video feed. The method may further include the execution of other image processing operations on the image data to improve the quality of the image or features extracted therefrom. The method may further include anti-fraud detection or scoring operations to determine an amount of risk associated with the image data.
    Type: Grant
    Filed: September 19, 2024
    Date of Patent: April 8, 2025
    Assignee: Citibank, N.A.
    Inventors: Ashutosh K. Sureka, Venkata Sesha Kiran Kumar Adimatyam, Miriam Silver, Daniel Funken
  • Patent number: 12266145
    Abstract: Presented herein are systems and methods for the employment of machine learning models for image processing. A method may include a capture of a video feed including image data of a document at a client device. The client device can provide the video feed to another computing device. The method can include, by the client device or the other computing device object recognition for recognizing a type of document and capturing an image exceeding a quality threshold of the document amongst the frames within the video feed. The method may further include the execution of other image processing operations on the image data to improve the quality of the image or features extracted therefrom. The method may further include anti-fraud detection or scoring operations to determine an amount of risk associated with the image data.
    Type: Grant
    Filed: April 8, 2024
    Date of Patent: April 1, 2025
    Assignee: CITIBANK, N.A.
    Inventors: Ashutosh K. Sureka, Venkata Sesha Kiran Kumar Adimatyam, Miriam Silver, Daniel Funken
  • Patent number: 12260657
    Abstract: Presented herein are systems and methods for the employment of machine learning models for image processing. A method may include a capture of a video feed including image data of a document at a client device. The client device can provide the video feed to another computing device. The method can include, by the client device or the other computing device object recognition for recognizing a type of document and capturing an image exceeding a quality threshold of the document amongst the frames within the video feed. The method may further include the execution of other image processing operations on the image data to improve the quality of the image or features extracted therefrom. The method may further include anti-fraud detection or scoring operations to determine an amount of risk associated with the image data.
    Type: Grant
    Filed: April 8, 2024
    Date of Patent: March 25, 2025
    Assignee: Citibank, N.A.
    Inventors: Ashutosh K. Sureka, Venkata Sesha Kiran Kumar Adimatyam, Miriam Silver, Daniel Funken