HexaCoder Technologies understood the project scope without us detailing it.

This project is a survey-grade geospatial analysis platform. The system automates and streamlines the process of analyzing aerial LiDAR (LAS files) captured by drones, transforming raw data into actionable insights. Traditionally, surveyors conducted field operations manually—walking the terrain, measuring with physical instruments, and recording data on-site. This method is time-consuming, labor-intensive, and error-prone. Our solution replaces these outdated methods with a digital-first, drone-powered pipeline that drastically improves efficiency, accuracy, and scalability.
Volume calculations were inaccurate due to empty grid cells and misaligned ground-ceiling data from interpolation and projection issues.
Coordinate transformations degraded point cloud precision, introducing grid artifacts and reducing structural accuracy.
Switching CRS types caused misalignments and spatial inaccuracies in 3D data interpretations.
Potree lacked polyline annotations, restricted camera control during measurements, and didn’t visualize volume regions clearly.
Interpolated grid gaps and aligned datasets using intersection points, correcting projection offsets for accurate volume estimation.
Manually tuned scale and preserved floating-point precision to maintain spatial accuracy and eliminate visual artifacts.
Included vertical CRS with horizontal to ensure accurate 3D alignment and consistent spatial referencing.
Enhanced Potree with polyline support, persistent camera control, and color-coded volume visualization for better UX.
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