Digital Twin

Reso3D

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 Our solution replaces these outdated methods with a digital-first, drone-powered pipeline that drastically improves efficiency, accuracy, and scalability.

GIS
LiDAR
Digital Twin
3D Mapping
Survey Software
Drone Survey
Industry 4.0
Reso3D
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 Our solution replaces these outdated methods with a digital-first, drone-powered pipeline that drastically improves efficiency, accuracy, and scalability.
3D Libraries
PDAL, POTREE
Web Development
NestJS, Docker, Typescript, RabbitMQ
Database
Postgres
Cloud
AWS Cognito, AWS EC2, AWS S3

Project Objective

Manual field surveys demand significant manpower and extended time, often constrained by factors such as weather, challenging terrain, or limited daylight hours. These surveys incur high operational costs, particularly when repeat surveys are necessary to correct human errors. Additionally, converting real-world coordinates into usable data can introduce projection and transformation errors, complicating the process. Furthermore, visualizing volumetric measurements and terrain changes is challenging when working with raw LAS files, limiting the effectiveness of traditional survey methods.

Key Challenges

Inaccurate Volume Grids

Volume calculations were inaccurate due to empty grid cells and misaligned ground-ceiling data from interpolation and projection issues.

Precision Loss in Point Clouds

Coordinate transformations degraded point cloud precision, introducing grid artifacts and reducing structural accuracy.

CRS Misalignment Issues

Switching CRS types caused misalignments and spatial inaccuracies in 3D data interpretations.

Limited Potree Measurements

Potree lacked polyline annotations, restricted camera control during measurements, and didn’t visualize volume regions clearly.

Our Approach

Our software platform ingests LAS files generated from drone photogrammetry and provides a comprehensive end-to-end solution. It includes features like Point Cloud Visualization, which converts heavy LAS datasets into a web-ready Potree format for interactive inspection. The Volume Calculation Engine enables users to select areas of interest and automatically calculate cut/fill volumes with sub-meter accuracy. The platform supports Coordinate System Transformation, allowing for GCP (Ground Control Point) alignment and seamless transitions between horizontal and compound CRS while preserving full spatial fidelity. Intelligent Grid Interpolation leverages SciPy’s linear interpolation to fill in missing grid cells, enhancing the precision of volume estimates. Additionally, the Measurement and Annotation Tools enhance Potree by supporting custom polylines, colorized volumes, and real-time panning and rotating during measurement tasks. With these capabilities, surveyors can analyze terrain data remotely, perform measurements at any time, and significantly reduce labor and costs while improving accuracy and repeatability.

Implemented Solutions

Aligned Volume Estimation

Interpolated grid gaps and aligned datasets using intersection points, correcting projection offsets for accurate volume estimation.

Preserved Spatial Accuracy

Manually tuned scale and preserved floating-point precision to maintain spatial accuracy and eliminate visual artifacts.

Consistent 3D Referencing

Included vertical CRS with horizontal to ensure accurate 3D alignment and consistent spatial referencing.

Enhanced Measurement UX

Enhanced Potree with polyline support, persistent camera control, and color-coded volume visualization for better UX.

Industry Trust

Recognized Across Top Platforms

Consistently top-rated by the clients we serve and the platformsthat evaluate us — our ratings reflect 15+ years of delivering results.

Enterprise 3d Software Company
4.6
Enterprise Product Configurator Company
4.7
Enterprise Digital Twin Software Company
4.7
3d Product Configurator Development Company
100%
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