Abstract:
In a computer-implemented method and system for capturing the condition of a structure, the structure is scanned with an unmanned aerial vehicle (UAV). Data collected by the UAV corresponding to points on a surface of a structure is received and a 3D point cloud is generated for the structure, where the 3D point cloud is generated based at least in part on the received UAV data. A 3D model of the surface of the structure is reconstructed using the 3D point cloud.
Abstract:
In a computer-implemented method and system for capturing the condition of a structure, the structure is scanned with an unmanned aerial vehicle (UAV). Data collected by the UAV corresponding to points on a surface of a structure is received and a 3D point cloud is generated for the structure, where the 3D point cloud is generated based at least in part on the received UAV data. A 3D model of the surface of the structure is reconstructed using the 3D point cloud.
Abstract:
In a computer-implemented method and system for capturing the condition of a structure, the structure is scanned with an unmanned aerial vehicle (UAV). The UAV receives an instruction to collect information on at least one aspect of a property, and identifies one or more onboard sensors of the UAV to collect the information on the at least one aspect of the property, where the UAV is configured to identify a first set of one or more onboard sensors to collect a first type of data and to identify a second set of one or more onboard sensors to collect a second type of data. The UAV also collects the information on the at least one aspect of the property using the one or more onboard sensors, and identifies, based on the collected information, a type of damage incurred on the at least one aspect of the property.
Abstract:
In a method and system for scanning a structure, a structure scanner may acquire multiple scans of a surface of a structure. Each of the scans may correspond to different portions of the surface. The property inspection system may generate a 3D model of the surface using the scans. To account for potential changes in position and/or orientation of the structure scanner between scans, the structure scanner may self-calibrate using a fiducial marker. By correcting for changes in position and orientation over time, the structure scanner may accurately map the scans of the different portions of the surface to a 3D model of the surface.
Abstract:
In a method and system for inspecting the condition of a structure, the structure is scanned with a three-dimensional (3D) scanner. The 3D scanner includes a sensing system having one of a radar sensing device or an ultrasonic detection device. The sensing system detects 3D information about a subsurface of the structure, and the 3D scanner generates 3D data points based on the information detected by one or more of the radar sensing device and the ultrasonic detection device. A 3D model is constructed from the 3D data and is then analyzed to determine the condition of the subsurface of the structure.
Abstract:
In a computer-implemented method and system for capturing the condition of a structure, the structure is scanned with an unmanned aerial vehicle (UAV). Data collected by the UAV corresponding to points on a surface of a structure is received and a 3D point cloud is generated for the structure, where the 3D point cloud is generated based at least in part on the received UAV data. A 3D model of the surface of the structure is reconstructed using the 3D point cloud.
Abstract:
In a computer-implemented method and system for capturing the condition of a structure, the structure is scanned with an unmanned aerial vehicle (UAV). Data collected by the UAV corresponding to points on a surface of a structure is received and a 3D point cloud is generated for the structure, where the 3D point cloud is generated based at least in part on the received UAV data. A 3D model of the surface of the structure is reconstructed using the 3D point cloud.
Abstract:
Systems and methods for assessing a physical structure are provided. Information indicative of an infrared image that includes a portion of the physical structure is received, and one or more indicators within the infrared image exceeding a heat threshold are determined. A plurality of characteristics of the one or more indicators are determined. Information indicative of an image of the portion of the physical structure, corresponding to the infrared image, is received, and locations of the one or more indicators are determined. The image is analyzed according to the locations of the one or more indicators to determine information indicative of (i) a fastener coupled to the physical structure or (ii) damage to the physical structure, and the one or more indicators are classified according to the analysis. Based on the classification of the one or more indicators, a condition of the physical structure is determined.
Abstract:
In a computer-implemented method and system for capturing the condition of a structure, the structure is scanned with a three-dimensional (3D) scanner. The 3D scanner generates 3D data. A point cloud or 3D model is constructed from the 3D data. The point cloud or 3D model is then analyzed to determine the condition of the structure.
Abstract:
In a method and system for scanning a structure, a structure scanner may acquire multiple scans of a surface of a structure. Each of the scans may correspond to different portions of the surface. The property inspection system may generate a 3D model of the surface using the scans. To account for potential changes in position and/or orientation of the structure scanner between scans, the structure scanner may self-calibrate using a fiducial marker. By correcting for changes in position and orientation over time, the structure scanner may accurately map the scans of the different portions of the surface to a 3D model of the surface.