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.
Abstract:
Systems and methods are disclosed for a property management system that runs on a smartphone and allows users to identify and track information on one or more properties and to receive property updates from the server. Systems and methods are also disclosed that use the orientation of and images captured by a smartphone camera to identify a facet of an object and to determine its pitch.
Abstract:
A wall area estimation system generates an estimated wall area measurement of a building based on the received roof measurements (e.g., those generated by, received from or found in a three-dimensional model of the roof) and a reference distance. The reference distance is a measurement indicative of a distance between the roof and a model ground surface placed on an image of the building where the walls of the building meet the ground. This reference distance may be used to determine how for down to extend the walls of the building (e.g., to a ground level) when building a three-dimensional digital model of the building to aid in generating wall area measurements. The resulting wall measurements, roof measurements, measurements of areas missing from the wall used to generate a wall estimate report, or a combined roof and wall estimate report including various different identifiers indicating the different features and measurements based on the three-dimensional model.
Abstract:
Systems and methods for relating images to each other by determining transform functions between the images and the three-dimensional world coordinate system of the object depicted in the image, without using image acquisition metadata are disclosed. Points of interest are independently selected on each image. An initial transform function is applied to transform the points in the plane of one image to the plane of the other image. A Gaussian Mixture Model is then iteratively applied to the points to determine a best match, which then provides adjustments to the argument values of the transform function which is again applied to the points of interest on each image. This process repeats until the argument values converge to provide the resulting transform function. The resulting function can then be used to identify objects in the images in three dimensional space.
Abstract:
A system generates an estimated floor area measurement of a building based on the calculated estimated total roof area of the roof of the building. This is based on a correlation between the size of the building roof and the size of the building. Typically, the floor area of a single full floor of the building is roughly the size of the roof of the building if the roof were flat with no slope. This in effect is turning the roof into a floor to generate estimated floor area. With additional adjustments to area measurements to account for multiple floors, roof overhang, wall width, internal building features such as walls and staircases, and/or obstructed views of the building in the aerial image(s), etc., an even more accurate floor area estimation may be generated.
Abstract:
Methods and systems for navigating unmanned aircraft to capture images a consistent distance from a surface of a structure, such as a roof, are disclosed, including a system comprising a computer system having one or more processors and one or more non- transitory computer readable medium, the processor(s) executing instructions to cause the one or more processors to: generate unmanned aircraft information including flight path information for capturing images of a roof section having a plane, the flight path information configured to direct an unmanned aircraft to fly a flight path based at least in part on a pitch of the roof section and information from one or more sensor indicative of a location of the roof section, the flight path configured to include waypoints at which the unmanned aircraft captures images at a consistent distance from the plane of the roof section.
Abstract:
Systems and methods are disclosed for a property management system that runs on a smartphone and allows users to identify and track information on one or more properties and to receive property updates from the server. Systems and methods are also disclosed that use the orientation of and images captured by a smartphone camera to identify a facet of an object and to determine its pitch.
Abstract:
System and methods for performing a risk management assessment of a property using at least aerial imagery of the property and additional data about the property that is evaluated against risk management criteria. Data acquired through aerial imagery includes identifying buildings and floor area of the buildings, condition of the buildings including roof and exterior walls, and identifying other property hazards. Additional data may include property information coming from multiple sources including city and County governments, contractors and insurance companies. The resulting risk management assessment may be used to settle insurance claims and to determine insurance products and premium rates offered on the property.
Abstract:
A statistical point pattern matching technique is used to match corresponding points selected from two or more views of a roof of a building. The technique entails statistically selecting points from each of orthogonal and oblique aerial views of a roof, generating radial point patterns for each aerial view, calculating the origin of each point pattern, representing the shape of the point pattern as a radial function, and Fourier-transforming the radial function to produce a feature space plot. A feature profile correlation function can then be computed to relate the point match sets. From the correlation results, a vote occupancy table can be generated to help evaluate the variance of the point match sets, indicating, with high probability, which sets of points are most likely to match one another.
Abstract:
A wall area estimation system generates an estimated wall area measurement of a building based on the received roof measurements (e.g., those generated by, received from or found in a three dimensional model of the roof) and a reference distance. The reference distance is a measurement indicative of a distance between a reference point on the roof and a ground surface. This reference distance may be used to determine how for down to extend the walls of the building (e.g., to a ground level) when building a three dimensional digital model of the building to aid in generating wall area measurements. The resulting wall measurements, roof measurements, measurements of areas missing from the wall used to generate a wall estimate report, or a combined roof and wall estimate report including various different identifiers indicating the different features and measurements based on the three dimensional model.