Quantum Spatial, Inc.

David Brandt

Anand Iyer

Seth Hill

Scott Nowicki

Richard Armstrong

Andrew Wakefield

Logan McConnell

Various embodiments are directed to facilitating imagery and point-cloud based facility modeling and remote change detection. A computing device may receive collected data for a facility. The collected data may include spatial image data obtained from light detection imaging and ranging systems (LiDAR), multispectral data, and thermal data. The computing device may then analyze, based on software models generated for previously collected data for the facility, the collected data to determine changes in the previously collected data. The computing device may then update the models upon determining changes in the previously collected data. Finally, the computing device may generate an alert based on the updated models when any changes in the previously collected data are above a predetermined threshold corresponding to a current security or operational condition associated with the facility.

Systems and methods for facilitating imagery and point-cloud based facility modeling and remote change detection

Various embodiments are directed to deriving spatial attributes for imaged objects utilizing three-dimensional (3D) information. A server may obtain 3D survey data about an object from a pre-existing source. The server may then receive image data describing the object from a user device. The server may then utilize range imagery techniques to build a 3D point cloud from imagery in a pixel space. The server may then utilize horizontal positioning to place the 3D point cloud in proximity to the 3D survey data. The server may then fit the 3D survey data to the 3D point cloud. Finally, the server may record measurements and absolute locations of interest from the 3D point cloud and send them to the user device.

Systems and methods for deriving spatial attributes for imaged objects utilizing three-dimensional information

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Portland, OR, United States of America

David Brandt