LiDAR, BIM, GIS and AI: Our Engineering Stack.
FARO Focus S 350 terrestrial scanning at ±1–3 mm, DGCA-certified UAV surveys, IFC-compliant BIM at LOD 300–400, open-source GIS delivery, and custom AI models, one stack from ground truth to decision.
Specified Numbers, Not Adjectives.
Every figure below is a contracted tolerance from our point-cloud processing standards: registration error, control accuracy, density, and AI performance measured against manually inspected references.
Terrestrial LiDAR Accuracy
±1–3 mm at close range
UAV Survey Accuracy
±3 cm with RTK control
Registration Tolerance
≤3 mm RMS per station pair
BIM Compliance
IFC 4.x, LOD 300–400
GIS Delivery
QGIS, PostGIS, GeoServer
AI Defect Detection
85–95% on trained classes
Data Capture Hardware
FARO Focus S 350 LiDAR
Survey-grade terrestrial laser scanner (±1 mm ranging accuracy) delivering ±1–3 mm project accuracy for heritage HBIM, industrial retrofit, and infrastructure as-builts.
DGCA-Certified UAV Systems
Fixed-wing and multi-rotor drone platforms for large-area aerial surveys, photogrammetry, and UAV LiDAR at ±3 cm.
GNSS / DGPS Ground Control
Centimeter-accurate geodetic control networks with RTK rovers and total-station traverses tying every scan to real-world coordinates.
High-Resolution 360° Cameras
Immersive spherical imaging for visual documentation, virtual tours, and photogrammetric texture alongside LiDAR intensity.
Data Processing Software
FARO Scene
Point cloud registration, scan processing, and quality inspection for terrestrial LiDAR data.
QGIS
Professional open-source GIS platform for geospatial data management, analysis, and publication.
Agisoft Metashape
Photogrammetric processing pipeline for dense point clouds, orthomosaics, DEMs, and 3D models.
BricsCAD
High-performance CAD platform for 2D drafting, 3D modeling, and BIM-ready drawing production.
Blender
Comprehensive open-source suite for 3D modeling, animation, and rendering complex spatial environments.
ESurveyCAD
Advanced engineering design and drafting solution specifically tailored for civil survey professionals.
Nerfstudio
Leading open-source framework for building, rendering, and processing Neural Radiance Fields and 3D Gaussian Splatting.
Data Formats Delivered
CAD
Precision 2D/3D deliverables in standard formats including DWG and DXF.
Ortho Imagery
High-resolution geo-referenced raster graphics, including GeoTIFF and Cloud-Optimized GeoTIFF.
Point Cloud
Raw and processed 3D scan data in universal formats like FLS, LAS, E57, and RCP.
3D Model
Textured and untextured mesh assets available in OBJ, FBX, STEP, and more.
AI & ML Workflow
TensorFlow
Open-source machine learning framework for training robust neural networks on geospatial data.
Python
Advanced scripting and data manipulation using Pandas, NumPy, and specialized spatial libraries.
Custom AI/ML Frameworks
Proprietary, domain-specific deep learning models for automated asset detection and condition scoring.
One Pipeline, Ground Truth to Decision.
Tools matter less than sequence. Each stage below feeds the next, and every stage links to the service or standard that defines it.
01
CaptureTerrestrial LiDAR, UAV photogrammetry, and DGPS control record the asset as it exists, tied to survey coordinates.
02
ProcessTarget-based registration, classification, and QA turn raw scans into trusted, georeferenced point clouds.
03
ModelScan-to-BIM at LOD 300–400, HBIM for heritage fabric, and GIS registries for municipal assets.
04
DeliverOpen formats the client owns: IFC models, LAS/E57 clouds, GeoTIFF orthos, DWG drawings, web GIS portals.
05
MonitorAI defect detection with engineer review, re-survey epochs, and change detection keep the twin current.
Technology Questions.
What accuracy does Gesix LiDAR surveying achieve?+
Terrestrial scanning with the FARO Focus S 350 (±1 mm ranging accuracy) delivers ±1–3 mm project accuracy at close range with target-based registration held to ≤3 mm RMS per station pair. UAV surveys with RTK control achieve ±3 cm, suited to corridors, terrain, and stockpiles.
Which software does the technology stack use?+
FARO Scene and CloudCompare for point clouds, Agisoft Metashape for photogrammetry, QGIS with PostGIS and GeoServer for GIS delivery, Revit and ArchiCAD for BIM with IFC 4.x export, Blender for visualisation, and TensorFlow with Python for machine learning.
What file formats will we receive?+
Registered point clouds in LAS, E57, and RCP; CAD drawings in DWG and DXF; orthoimagery as GeoTIFF including Cloud-Optimized GeoTIFF; meshes in OBJ, FBX, and STEP; BIM models in RVT with IFC 4.x; and GIS data as Shapefile, GeoPackage, GeoJSON, or live PostGIS layers.
Why open-source GIS instead of proprietary platforms?+
Municipalities and authorities keep full ownership of their data with no licence lock-in: QGIS desktops, PostGIS databases, and GeoServer web services are auditable, sovereign, and budget-friendly, which matters for JJM, PWD, and Smart City programmes.
How is AI used in the stack, and how accurate is it?+
Machine learning models perform asset detection, pavement defect scoring, and change flagging, measured at 85–95% accuracy on trained defect classes across 100 km of municipal road survey data. Every AI output passes engineer review before it becomes a deliverable or a work order.
See the technology in action.
Check out our case studies or send us the details of your next project.