Patents by Inventor Ajai Sehgal

Ajai Sehgal 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).

  • METHOD AND SYSTEM FOR DETERMINING SOLAR ACCESS OF A STRUCTURE
    Publication number: 20230260213
    Abstract: Methods and systems are disclosed that automatically determine solar access values. In one implementation, a 3D geo-referenced model of a structure is retrieved in which geographic location on the earth of points in the 3D geo-referenced model are stored or associated with points in the 3D geo-referenced model. Object point cloud data indicative of object(s) that cast shade on the structure is retrieved. The object point cloud data may be generated from one or more georeferenced images and the object point cloud data is indicative of an actual size, shape, and location of the object(s) on the earth. The structure in the 3D geo-referenced model is divided into one or more sections, which are divided into one or more areas, each area having at least three vertices. Then, a solar access value for the particular vertex is determined.
    Type: Application
    Filed: January 6, 2023
    Publication date: August 17, 2023
    Inventors: Ajai Sehgal, David Nilosek, Daniel Rojas, George Chaves, Pete Cleveland
  • Method and system for determining solar access of a structure
    Patent number: 11551413
    Abstract: Methods and systems are disclosed that automatically determine solar access values. In one implementation, a 3D geo-referenced model of a structure is retrieved in which geographic location on the earth of points in the 3D geo-referenced model are stored or associated with points in the 3D geo-referenced model. Object point cloud data indicative of object(s) that cast shade on the structure is retrieved. The object point cloud data may be generated from one or more georeferenced images and the object point cloud data is indicative of an actual size, shape, and location of the object(s) on the earth. The structure in the 3D geo-referenced model is divided into one or more sections, which are divided into one or more areas, each area having at least three vertices. Then, a solar access value for the particular vertex is determined.
    Type: Grant
    Filed: September 23, 2019
    Date of Patent: January 10, 2023
    Assignee: Eagle View Technologies, Inc.
    Inventors: Ajai Sehgal, David Nilosek, Daniel Rojas, George Chaves, Pete Cleveland
  • METHOD AND SYSTEM FOR DETERMINING SOLAR ACCESS OF A STRUCTURE
    Publication number: 20200098170
    Abstract: Methods and systems are disclosed that automatically determine solar access values. In one implementation, a 3D geo-referenced model of a structure is retrieved in which geographic location on the earth of points in the 3D geo-referenced model are stored or associated with points in the 3D geo-referenced model. Object point cloud data indicative of object(s) that cast shade on the structure is retrieved. The object point cloud data may be generated from one or more georeferenced images and the object point cloud data is indicative of an actual size, shape, and location of the object(s) on the earth. The structure in the 3D geo-referenced model is divided into one or more sections, which are divided into one or more areas, each area having at least three vertices. Then, a solar access value for the particular vertex is determined.
    Type: Application
    Filed: September 23, 2019
    Publication date: March 26, 2020
    Inventors: Ajai Sehgal, David Nilosek, Daniel Rojas, George Chavez
  • Mixed but indistinguishable raster and vector image data types
    Patent number: 7148907
    Abstract: An image processing application employs the concept of integral pre-multiplied alpha channel, and combines the techniques of multi-resolution representation, graph-structured representation, and automatic and intelligent data type conversion in order to permit a computer user to mix and manipulate both raster and vector based images in a single user interface while remaining unaware of the different data types underlying the images.
    Type: Grant
    Filed: July 15, 2004
    Date of Patent: December 12, 2006
    Assignee: Microsoft Corporation
    Inventors: Alvy Ray Smith, John Bradstreet, Jonathan Edgar Fay, Ajai Sehgal, Tanuja Abhay Joshi, John Fitzgerald Bronskill, Daniel Gwozdz, Steven Andrew Cover, Nicholas John Clay, Edward W. Connell
  • Mixed but indistinguishable raster and vector image data types
    Patent number: 6870545
    Abstract: An image processing application employs the concept of integral pre-multiplied alpha channel, and combines the techniques of multi-resolution representation, graph-structured representation, and automatic and intelligent data type conversion in order to permit a computer user to mix and manipulate both raster and vector based images in a single user interface while remaining unaware of the different data types underlying the images.
    Type: Grant
    Filed: July 26, 1999
    Date of Patent: March 22, 2005
    Assignee: Microsoft Corporation
    Inventors: Alvy Ray Smith, John Bradstreet, Jonathan Edgar Fay, Ajai Sehgal, Tanuja Abhay Joshi, John Fitzgerald Bronskill, Daniel Gwozdz, Steven Andrew Cover, Nicholas John Clay, Edward W. Connell
  • Mixed but indistinguisable raster and vector image data types
    Publication number: 20040257367
    Abstract: An image processing application employs the concept of integral pre-multiplied alpha channel, and combines the techniques of multi-resolution representation, graph-structured representation, and automatic and intelligent data type conversion in order to permit a computer user to mix and manipulate both raster and vector based images in a single user interface while remaining unaware of the different data types underlying the images.
    Type: Application
    Filed: July 15, 2004
    Publication date: December 23, 2004
    Applicant: Microsoft Corporation
    Inventors: Alvy Ray Smith, John Bradstreet, Jonathan Edgar Fay, Ajai Sehgal, Tanuja Abhay Joshi, John Fitzgerald Bronskill, Daniel Gwozdz, Steven Andrew Cover, Nicholas John Clay, Edward W. Connell