Pictometry International Corporation

Tokenize, Inc.

Case Wallet, Inc.

Stephen L Schultz

Frank Giuffrida

Robert L Gray

Charles Mondello

John Monaco

Robert Bradacs

David R Nilosek

Timothy S Harrington

David S Petterson

Craig D Woodward

Mark A Winkelbauer

Matt Kusak

Scott D Lawrence

Kevin G Willard

Chris Schnaufer

Michael Wade Allen

Richard W Lourette

John Dvorak

Melanie Shapiro

Steve Shapiro

Yandong Wang

Steve Adams

Matthew Kusak

Frank D Giufrrida

David Arthur Kennedy

John William Stephens

Frank D Guiffrida

Frank D R Giuffrida

James Smyth

Wang Yandong

Frank D Giuffrida

Computerized systems and methods are disclosed, including a computer system that executes software that may receive a geographic location having one or more coordinates of a structure, receive a validation of the structure location, and generate unmanned aircraft information based on the one or more coordinates of the validated location. The unmanned aircraft information may include an offset from the walls of the structure to direct an unmanned aircraft to fly an autonomous flight path offset from the walls, and camera control information to direct a camera of the unmanned aircraft to capture images of the walls at a predetermined time interval while the unmanned aircraft is flying the flight path. The computer system may receive images of the walls captured by the camera while the unmanned aircraft is flying the autonomous flight path and generate a structure report based at least in part on the images.

Unmanned aircraft structure evaluation system and method

Methods and systems are disclosed including a method comprising, with one or more computer processors, associating geographic position data and orientation data of the one or more video capture devices with each video frame of a geographic area; analyzing the geographic position data and orientation data and the video frames to generate geo-referencing data for pixels of the video frames; determining a geographical boundary of the video frame from the geo-referencing data; receiving, one or more layers of geographic information system (GIS) data using the determined geographical boundary of the video frame; and determining overlay position of the geographic information system (GIS) data on the video frames in real time based at least in part on the geo-referencing data; and overlaying at least a portion of the geographic information system (GIS) data on the video frames based on the overlay position.

System and method for forming a video stream containing GIS data in real-time

Automated methods and systems are disclosed, including a method comprising: obtaining a first three-dimensional-data point cloud of a horizontal surface of an object of interest, the first three-dimensional-data point cloud having a first resolution and having a three-dimensional location associated with each point in the first three-dimensional-data point cloud; capturing one or more aerial image, at one or more oblique angle, depicting at least a vertical surface of the object of interest; analyzing the one or more aerial image with a computer system to determine three-dimensional locations of additional points on the object of interest; and updating the first three-dimensional-data point cloud with the three-dimensional locations of the additional points on the object of interest to create a second three-dimensional-data point cloud having a second resolution greater than the first resolution of the first three-dimensional-data point cloud.

Augmented three dimensional point collection of vertical structures

Methods and systems are disclosed for creating a computerized 3D model to include material property information for one or more regions of image textures of the computerized 3D model, including a method comprising: creating a computerized 3D model having image textures; examining a portion of a first image texture of the computerized 3D model having unknown material properties; assigning a material having a material property to the portion of the first image texture to indicate a physical material of a physical object represented by the portion of the first image texture, the material property having material property information about the physical materials; associating the material property information with the portion of the first image texture; and replacing the portion of the first image texture in the 3D model with a simulated texture of the assigned material.

Method for the automatic material classification and texture simulation for 3D models

Systems and methods are disclosed for creating a mosaic image of two or more geo-referenced source images, the geo-referenced source images having the same orientation, based on a ground confidence map created by analyzing pixels of one or more of the geo-referenced source images, the ground confidence map having values and data indicative of particular geographic locations represented by the values, at least one of the values indicative of a statistical probability that the particular geographic locations represented by the values represents the ground; and using routes for steering mosaic cut lines based at least in part on the values indicative of the statistical probability that the particular geographic locations represented by the values represents the ground of the ground confidence map, such that the routes have an increased statistical probability of cutting through pixels representative of the ground versus routes not based on the ground confidence map.

Cut-line steering methods for forming a mosaic image of a geographical area

A light deflection system for a LIDAR system on an aerial vehicle and method of use are herein disclosed. The light deflection system includes a light deflection element having a first end and a second end. The light deflection element is rotatable and balanced about an axis extending from the first end to the second end. The light deflection element has a first side with a first reflective surface at a first angle in relation to the axis and deflects light in a nadir direction relative to the aerial vehicle. The light deflection element also has a second side having a second reflective surface at a second angle in relation to the axis. The first angle is different from the second angle and configured to deflective light at an oblique angle relative to the aerial vehicle.

LiDAR system producing multiple scan paths and method of making and using same

Image capture systems are disclosed, including an image capture system, comprising: an image capture device mounted on a moving platform, the image capture device having a sensor for capturing an aerial image having pixels; and a detection computer executing an abnormality detection algorithm for detecting an abnormality in the pixels of the aerial image immediately after the aerial image is captured by scanning the aerial image utilizing predetermined parameters indicative of characteristics of the abnormality and then automatically scheduling a re-shoot of the aerial image such that the re-shoot occurs prior to landing of the moving platform, wherein the abnormality detection algorithm causes the detection computer to scan the aerial image using pattern recognition techniques to detect the abnormality in the pixels of the aerial image.

System for detecting image abnormalities

Systems and methods are disclosed including a moving platform system suitable for mounting and use on a moving platform for communicating in real-time, comprising: a position system monitoring location of the moving platform and generating a sequence of time-based position data; a non-line of sight communication system; a high-speed line of sight communication system; and a computer system monitoring an availability of the non-line of sight communication system and the high-speed line of sight communication system and initiating connections when the non-line of sight communication system and the high-speed line of sight communication system are available, and receiving the sequence of time-based position data and transmitting the sequence of time-based position data via the at least one of the currently available non-line of sight communication system and the high-speed line of sight communication system.

Real-time moving platform management system

A method of automatically transforming a computerized 3D model having regions of images utilized as textures on one or more physical objects represented in the 3D model (such as building sides and roofs, walls, landscapes, mountain sides, trees and the like) to include material property information for one or more regions of the textures of the 3D model. In this method, image textures applied to the 3D model are examined by comparing, utilizing a computer, at least a portion of each image texture to entries in a palette of material entries. The material palette entry that best matches the one contained in the image texture is assigned to indicate a physical material of the physical object represented by the 3D model. Then, material property information is stored in the computerized 3D model for the image textures that are assigned a material palette entry.

A system and method for generating multi-3D perspective floor plans having real-life physical characteristics. The multi-3D perspective floor plans may be generated using image data and related to a floor plan of a structure.

Method and system for displaying room interiors on a floor plan

Image capture systems including a moving platform; an image capture device having a sensor for capturing an image, the image having pixels, mounted on the moving platform; and a detection computer executing an abnormality detection algorithm for detecting an abnormality in the pixels of the image immediately after the image is captured by scanning the image utilizing predetermined parameters indicative of characteristics of the abnormality and then automatically and immediately causing a re-shoot of the image.

Image processing systems and methods are disclosed, including an image processing system comprising a computer running image processing software causing the computer to: divide an oblique aerial image into a plurality of sections, choose reference aerial image(s), having a consistent color distribution, for a first section and a second section; create a color-balancing transformation for the first and second sections of the oblique aerial image such that the first color distribution of the first section matches the consistent color distribution of the chosen reference aerial image and the second color distribution of the second section matches the consistent color distribution of the chosen reference aerial image; color-balance pixel(s) in the first and section sections of the oblique aerial image, such that at least one color-balancing transformation of the first and second sections matches the consistent color distribution of the reference aerial image(s).

System and process for color-balancing a series of oblique images

A computerized system is disclosed. The computer system executes software that receives a geographic location having one or more coordinates of a roof, receives a validation of the location of the roof, and generates unmanned aircraft information based on the one or more coordinates of the validated location. The unmanned aircraft information includes an offset from the roof to direct an unmanned aircraft to fly an autonomous flight path above the roof, and camera control information to direct a camera of the unmanned aircraft to capture images of the roof at a predetermined time interval while the unmanned aircraft is flying the flight path. The computer system receives images of the roof captured by the camera while the unmanned aircraft is flying the autonomous flight path and generates a structure report for the roof based at least in part on the images.

Growing community of inventors

West Henrietta, NY, United States of America

Stephen L Schultz