Inspection

Data Platform For Drone And Other Data Sources

A browser-based 3D visualization platform for AUAV that turns drone and geospatial data into interactive digital twins. Teams inspect assets, measure, annotate, compare site progress, and collaborate directly inside the 3D model.

Outcome: Construction, infrastructure, mining, energy, and asset management teams work with high-resolution site data in a browser — no heavy desktop software, no specialist workstation.

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Complete Spatial And Inspection Data Platform For Drone And Other Data Sources

Results What changed for AUAV

The platform transformed how site data is visualized, shared, inspected, and analyzed. Teams could access accurate 3D site models remotely, reduce on-site visits, collaborate faster, and make better decisions using visual site intelligence.

Before

  • Drone data was difficult to review in one place
  • Asset inspection relied on disconnected photos and reports
  • Large datasets required heavy desktop software
  • Site issues were harder to identify and communicate
  • Teams lacked real-time collaboration inside the model
After

  • Browser-based access to high-resolution 3D digital twins
  • Linked photo inspection directly inside the 3D model
  • Measurement, annotation, and issue discussion tools
  • Support for drone, LiDAR, GIS, BIM, 360° media, and IoT feeds
  • Faster remote inspections and reduced site visits

THE CLIENT

AUAV — Drone-based site capture and inspection platform

AUAV is a drone-based site capture solutions provider helping industries collect, process, and visualize aerial data for inspections, planning, monitoring, and asset management.

The platform was built to support teams working with complex geospatial data across large-scale projects. It enables users to access accurate 3D site models, linked inspection photos, spatial overlays, measurement tools, and collaboration workflows from a standard web browser.

Complete Spatial And Inspection Data Platform For Drone And Other Data Sources

Advanced dronedata visualization and 3D site intelligence

Platform overview

Managing drone and geospatial data across large project sites can be complex. AUAV simplifies this by turning drone-captured data into interactive 3D digital twins that teams can access directly from a web browser. Users can inspect assets, view linked photos, measure site conditions, add annotations, compare progress, and collaborate in one centralized platform.

3D Models
High-resolution site visualization
Web App
Browser-based access
Data Layers
RDrone, LiDAR, GIS & BIM overlays
Inspection Tools
Measurements, annotations & photo views

Deliverables core capabilites we built

High-resolution 3D digital twins

Users can view detailed 3D site models generated from drone, photogrammetry, and LiDAR data.

Linked photo inspection

Inspection photos are connected to specific points in the 3D model, helping teams review assets with spatial context.

Measurement tools

Users can measure distances, areas, and volumes directly inside the 3D environment.

Annotations and comments

Teams can add notes, tags, issue discussions, and collaboration threads within the model.

AI-powered object detection

The platform supports rust detection, corrosion detection, and electric pole detection using computer vision models.

Multi-source data support

Drone, LiDAR, GIS, BIM, satellite data, KML, GPX, GeoJSON, 360° imagery, video, and IoT feeds can be layered into the platform.

Before/after comparison

Users can compare site conditions over time using visual toggle and change detection tools.

Live IoT data integration

Real-time feeds can be connected for asset monitoring and operational visibility.

The problem

DATA WITHOUT VISIBILITY

Drone and geospatial data often produce large, complex datasets that are difficult to review using traditional tools. Teams needed a simple way to visualize 3D site models, inspect assets, compare project progress, and collaborate without relying on heavy desktop software or disconnected workflows.
The client needed a platform that could support high- resolution 3D models, linked photo inspection, GIS/BIM overlays, measurement tools, annotations, live data feeds, and secure cloud
based access.

Complex 3D data visualization

Large drone, LiDAR, and photogrammetry files needed to be displayed smoothly in the browser.

Disconnected inspection workflows

Photos, reports, drawings, and site notes were often managed separately from the 3D model.

Limited collaboration

Teams needed a shared environment for annotations, comments, measurements, and issue discussions.

Heavy software dependency

Users needed easy online access without installing specialist desktop tools.

The solution

Browser-based 3D digital twin platform

We engineered a feature-rich web platform that allows users to securely view, inspect, measure, annotate, and manage drone-captured site data through interactive 3D models.

The platform combines drone imagery, LiDAR, GIS, BIM, 360° media, satellite data, KML, GPX, GeoJSON, documents, and live IoT feeds into one centralized digital twin experience.

TECH STACK

AUAV is a full-stack 3D digital twin and drone data visualization platform. Each layer was designed to support high-resolution 3D model viewing, drone data processing, linked asset inspection, geospatial overlays, measurement tools, annotations, AI object detection, secure document hosting, and scalable browser-based access for infrastructure, construction, mining, and asset management teams.

React + CesiumJS

Frontend & 3D Visualization Layer

Built the interactive browser-based 3D viewer, allowing users to explore high-resolution digital twins, spatial layers, annotations, linked photos, and measurement tools.

Node.js + MongoDB

Backend & API Layer

Managed users, project data, annotations, comments, asset records, permissions, and platform workflows through scalable backend services.

AWS S3 + AWS EC2 + AWS CloudFront

Cloud Storage & Delivery Layer

Supported secure storage and fast delivery of large drone datasets, 3D models, documents, imagery, and media files.

Roboflow + TensorFlow

AI & Object Detection Layer

Enabled machine learning workflows for detecting rust, corrosion, electric poles, and other infrastructure elements from drone imagery.

GIS, BIM, LiDAR, KML, GPX, GeoJSON

Geospatial Data Layer

Allowed users to combine multiple project data sources into one visual environment.