Patents Assigned to XACTWARE SOLUTIONS, INC.
  • Publication number: 20200202183
    Abstract: A system for aerial image detection and classification is provided herein. The system comprising an aerial image database storing one or more aerial images electronically received from one or more image providers, and an object detection pre-processing engine in electronic communication with the aerial image database, the object detection pre-processing engine detecting and classifying objects using a disparity mapping generation sub-process to automatically process the one or more aerial images to generate a disparity map providing elevation information, a segmentation sub-process to automatically apply a pre-defined elevation threshold to the disparity map, the pre-defined elevation threshold adjustable by a user, and a classification sub-process to automatically detect and classify objects in the one or more stereoscopic pairs of aerial images by applying one or more automated detectors based on classification parameters and the pre-defined elevation threshold.
    Type: Application
    Filed: January 21, 2020
    Publication date: June 25, 2020
    Applicant: Xactware Solutions, Inc.
    Inventors: Jeffrey Taylor, Edmund Webecke
  • Publication number: 20200110847
    Abstract: A system and method for construction estimation using aerial images is provided. The system receives at least one aerial image of a building. An estimation engine processes the aerial image at a plurality of angles to automatically identify a plurality (e.g., perimeter and interior) lines in the image corresponding to a plurality of features of a roof the building. The estimation engine allows users to generate two-dimensional and three-dimensional models of the roof by automatically delineating various roof features, and generates a report including information about the roof of the building.
    Type: Application
    Filed: December 10, 2019
    Publication date: April 9, 2020
    Applicant: Xactware Solutions, Inc.
    Inventors: James Edward Loveland, Jeffrey Clayton Taylor, Jeffery Devon Lewis, Bradley McKay Childs, Corey David Reed, Jared William Robertson
  • Patent number: 10540577
    Abstract: A system for aerial image detection and classification is provided herein. The system comprising an aerial image database storing one or more aerial images electronically received from one or more image providers, and an object detection pre-processing engine in electronic communication with the aerial image database, the object detection pre-processing engine detecting and classifying objects using a disparity mapping generation sub-process to automatically process the one or more aerial images to generate a disparity map providing elevation information, a segmentation sub-process to automatically apply a pre-defined elevation threshold to the disparity map, the pre-defined elevation threshold adjustable by a user, and a classification sub-process to automatically detect and classify objects in the one or more stereoscopic pairs of aerial images by applying one or more automated detectors based on classification parameters and the pre-defined elevation threshold.
    Type: Grant
    Filed: June 13, 2017
    Date of Patent: January 21, 2020
    Assignee: Xactware Solutions, Inc.
    Inventors: Jeffrey Taylor, Edmund Webecke
  • Patent number: 10503842
    Abstract: A system and method for construction estimation using aerial images is provided. The system receives at least one aerial image of a building. An estimation engine processes the aerial image at a plurality of angles to automatically identify a plurality (e.g., perimeter and interior) lines in the image corresponding to a plurality of features of a roof the building. The estimation engine allows users to generate two-dimensional and three-dimensional models of the roof by automatically delineating various roof features, and generates a report including information about the roof of the building.
    Type: Grant
    Filed: November 22, 2016
    Date of Patent: December 10, 2019
    Assignee: Xactware Solutions, Inc.
    Inventors: James Edward Loveland, Jeffrey Clayton Taylor, Jeffery Devon Lewis, Bradley McKay Childs, Corey David Reed, Jared William Robertson
  • Publication number: 20190220711
    Abstract: A system for aerial image detection and classification is provided herein. The system comprising an aerial image database storing one or more aerial images electronically received from one or more image providers, and an object detection pre-processing engine in electronic communication with the aerial image database, the object detection pre-processing engine detecting and classifying objects using a disparity mapping generation sub-process to automatically process the one or more aerial images to generate a disparity map providing elevation information, a segmentation sub-process to automatically apply a pre-defined elevation threshold to the disparity map, the pre-defined elevation threshold adjustable by a user, and a classification sub-process to automatically detect and classify objects in the one or more stereoscopic pairs of aerial images by applying one or more automated detectors based on classification parameters and the pre-defined elevation threshold.
    Type: Application
    Filed: March 27, 2019
    Publication date: July 18, 2019
    Applicant: Xactware Solutions, Inc.
    Inventors: Jeffrey Taylor, Edmund Webecke
  • Publication number: 20190102897
    Abstract: A computer vision system and method for detecting and modeling features of a building in a plurality of images is provided. The system includes at least one computer system in communication with a database of aerial imagery, and computer vision system code executed by the at last one computer system which automatically detects contours and infers interior roof features of the building. The system first processes the plurality of images to identify a plurality of two-dimensional (2D) line segments in each image. Then, the system processes the plurality of 2D line segments to generate a plurality of three-dimensional (3D) line segments. The plurality of 2D line segments are then processed to detect a contour of the structure, and the contour of the structure is utilized by the system to infer interior roof lines from the structure. A model of the roof of the structure is finally generated using the detected contour and interior roof lines.
    Type: Application
    Filed: November 13, 2018
    Publication date: April 4, 2019
    Applicant: Xactware Solutions, Inc.
    Inventors: Jeffery Devon Lewis, Bryce Zachary Porter, Ryan Mark Justus
  • Patent number: 10127670
    Abstract: A computer vision system and method for detecting and modeling features of a building in a plurality of images is provided. The system includes at least one computer system in communication with a database of aerial imagery, and computer vision system code executed by the at last one computer system which automatically detects contours and infers interior roof features of the building. The system first processes the plurality of images to identify a plurality of two-dimensional (2D) line segments in each image. Then, the system processes the plurality of 2D line segments to generate a plurality of three-dimensional (3D) line segments. The plurality of 2D line segments are then processed to detect a contour of the structure, and the contour of the structure is utilized by the system to infer interior roof lines from the structure. A model of the roof of the structure is finally generated using the detected contour and interior roof lines.
    Type: Grant
    Filed: September 27, 2016
    Date of Patent: November 13, 2018
    Assignee: Xactware Solutions, Inc.
    Inventors: Jeffery D. Lewis, Bryce Zachary Porter, Ryan Mark Justus
  • Publication number: 20180089833
    Abstract: A computer vision system and method for detecting and modeling features of a building in a plurality of images is provided. The system includes at least one computer system in communication with a database of aerial imagery, and computer vision system code executed by the at last one computer system which automatically detects contours and infers interior roof features of the building. The system first processes the plurality of images to identify a plurality of two-dimensional (2D) line segments in each image. Then, the system processes the plurality of 2D line segments to generate a plurality of three-dimensional (3D) line segments. The plurality of 2D line segments are then processed to detect a contour of the structure, and the contour of the structure is utilized by the system to infer interior roof lines from the structure. A model of the roof of the structure is finally generated using the detected contour and interior roof lines.
    Type: Application
    Filed: September 27, 2016
    Publication date: March 29, 2018
    Applicant: Xactware Solutions, Inc.
    Inventors: Jeffrey D. Lewis, Bryce Zachary Porter, Ryan Mark Justus
  • Publication number: 20170316115
    Abstract: Described in detail herein are systems and methods for generating computerized models of structures using geometry extraction and reconstruction techniques. The system includes a computing device coupled to a input device. The input device obtains raw data scanned by a sensor. The computing device is programmed to execute a data fusion process is applied to fuse the raw data, and a geometry extraction process is performed on the fused data to extract features such as walls, floors, ceilings, roof planes, etc. Large- and small-scale features of the structure are reconstructed using the extracted features. The large- and small-scale features are reconstructed by the system into a floor plan (contour) and/or a polyhedron corresponding to the structure. The system can also process exterior features of the structure to automatically identify condition and areas of roof damage.
    Type: Application
    Filed: December 9, 2016
    Publication date: November 2, 2017
    Applicant: Xactware Solutions, Inc.
    Inventors: Jeffery D. Lewis, Jeffrey C. Taylor
  • Publication number: 20170277980
    Abstract: A system for aerial image detection and classification is provided herein. The system comprising an aerial image database storing one or more aerial images electronically received from one or more image providers, and an object detection pre-processing engine in electronic communication with the aerial image database, the object detection pre-processing engine detecting and classifying objects using a disparity mapping generation sub-process to automatically process the one or more aerial images to generate a disparity map providing elevation information, a segmentation sub-process to automatically apply a pre-defined elevation threshold to the disparity map, the pre-defined elevation threshold adjustable by a user, and a classification sub-process to automatically detect and classify objects in the one or more stereoscopic pairs of aerial images by applying one or more automated detectors based on classification parameters and the pre-defined elevation threshold.
    Type: Application
    Filed: June 13, 2017
    Publication date: September 28, 2017
    Applicant: Xactware Solutions, Inc.
    Inventors: Jeffrey Taylor, Edmund Webecke
  • Patent number: 9679227
    Abstract: A system for aerial image detection and classification is provided herein. The system comprising an aerial image database storing one or more aerial images electronically received from one or more image providers, and an object detection pre-processing engine in electronic communication with the aerial image database, the object detection pre-processing engine detecting and classifying objects using a disparity mapping generation sub-process to automatically process the one or more aerial images to generate a disparity map providing elevation information, a segmentation sub-process to automatically apply a pre-defined elevation threshold to the disparity map, the pre-defined elevation threshold adjustable by a user, and a classification sub-process to automatically detect and classify objects in the one or more stereoscopic pairs of aerial images by applying one or more automated detectors based on classification parameters and the pre-defined elevation threshold.
    Type: Grant
    Filed: August 4, 2014
    Date of Patent: June 13, 2017
    Assignee: Xactware Solutions, Inc.
    Inventors: Jeffrey Taylor, Edmund Webecke
  • Publication number: 20170154131
    Abstract: A system and method for construction estimation using aerial images is provided. The system receives at least one aerial image of a building. An estimation engine processes the aerial image at a plurality of angles to automatically identify a plurality (e.g., perimeter and interior) lines in the image corresponding to a plurality of features of a roof the building. The estimation engine allows users to generate two-dimensional and three-dimensional models of the roof by automatically delineating various roof features, and generates a report including information about the roof of the building.
    Type: Application
    Filed: November 22, 2016
    Publication date: June 1, 2017
    Applicant: Xactware Solutions, Inc.
    Inventors: James Edward Loveland, Jeffrey Clayton Taylor, Jeffrey Devon Lewis, Bradley McKay Childs, Corey David Reed, Jared William Robertson
  • Patent number: 9501700
    Abstract: A system and method for construction estimation using aerial images is provided. The system receives at least one aerial image of a building. An estimation engine processes the aerial image at a plurality of angles to automatically identify a plurality (e.g., perimeter and interior) lines in the image corresponding to a plurality of features of a roof the building. The estimation engine allows users to generate two-dimensional and three-dimensional models of the roof by automatically delineating various roof features, and generates a report including information about the roof of the building.
    Type: Grant
    Filed: February 15, 2012
    Date of Patent: November 22, 2016
    Assignee: Xactware Solutions, Inc.
    Inventors: James Edward Loveland, Jeffrey Clayton Taylor, Jeffery Devon Lewis, Bradley McKay Childs, Corey David Reed, Jared William Robertson
  • Publication number: 20150347872
    Abstract: A system for aerial image detection and classification is provided herein. The system comprising_an aerial image database storing one or more aerial images electronically received from one or more image providers, and an object detection pre-processing engine in electronic communication with the aerial image database, the object detection pre-processing engine detecting and classifying objects using a disparity mapping generation sub-process to automatically process the one or more aerial images to generate a disparity map providing elevation information, a segmentation sub-process to automatically apply a pre-defined elevation threshold to the disparity map, the pre-defined elevation threshold adjustable by a user, and a classification sub-process to automatically detect and classify objects in the one or more stereoscopic pairs of aerial images by applying one or more automated detectors based on classification parameters and the pre-defined elevation threshold.
    Type: Application
    Filed: August 4, 2014
    Publication date: December 3, 2015
    Applicant: XACTWARE SOLUTIONS, INC.
    Inventors: Jeffrey Taylor, Edmund Webecke
  • Publication number: 20150227645
    Abstract: A system and method for generating computerized floor plans is provided. The system comprises a mobile computing device, such as a smart cellular telephone, a tablet computer, etc. having an internal digital gyroscope and camera, and an interior modeling software engine interacts with the gyroscope and camera to allow a user to quickly and conveniently take measurements of interior building features, and to create computerized floor plans of such features from any location within a space, without requiring the user to stay in a single location while taking the measurements. The system presents the user with a graphical user interface that allows a user to quickly and conveniently delineate wall corner features using a reticle displayed within the user interface. As corners are identified, the system processes the corner information and information from the gyroscope to calculate wall features and creates a floor plan of the space with high accuracy.
    Type: Application
    Filed: February 11, 2015
    Publication date: August 13, 2015
    Applicant: XACTWARE SOLUTIONS, INC.
    Inventors: Bradley McKay Childs, Jeffrey C. Taylor, Jeffrey D. Lewis, Corey Reed