How Infrakit uses LumiDB to turn reality-capture data into actionable field measurements
Infrakit partnered with LumiDB to turn drone and LiDAR scans into actionable field measurements. By replacing file-based workflows with a database built for large point clouds, the team can complete depth and distance checks directly from the office. The approach is at least 50% faster than traditional site-based methods and produces more consistent documentation for regulatory requirements.
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Infrakit builds tools that connect field crews, machinery, and design data for infrastructure projects. As drone and LiDAR scanning became routine, the team needed a faster way to turn large point-cloud datasets into reliable measurements for contractors and inspectors. Customers rely on 2D cross-sections and map views for verification, but producing these from raw 3D scans was slow and required continuous tuning of internal tools.
The problem
Working with large, combined point-cloud datasets was difficult to scale
Infrakit captures growing volumes of LiDAR and drone data across its projects. Turning these scans into usable views and measurements, whether cross-sections, depth checks, or general field validation, required custom logic and continuous tuning of internal tools. The workflow worked, but it took engineering effort away from core product development.
The solution
LumiDB introduced a database built for large point clouds
Infrakit selected LumiDB to replace file-based operations with a database that unifies multiple LiDAR and drone sources into a single queryable dataset. This gave the team a scalable way to request only the regions or resolutions needed for cross-sections, measurements, or 3D visualization.
LumiDB’s architecture meshed naturally with Infrakit’s decision to build a custom ThreeJS frontend. Rather than adopt a Cesium-based stack like many competitors, Infrakit wanted tighter control over user experience and differentiation.
The result
Combined scan data becomes directly actionable for field measurements
With LumiDB, Infrakit can extract accurate measurements, such as depths, distances, and cross-sections, directly from merged LiDAR and drone scans. Tasks that once required manual probing or file-based processing can now be completed from the office in seconds, across all point-cloud sources. This reduces site work and provides clearer, more repeatable evidence of completed construction.
A typical use case is verifying the installation depth of buried cables. These checks are traditionally carried out in the field by measuring the line section by section, a process that is slow and prone to errors. When the cables span hundreds of kilometres, the workload becomes substantial. With Infrakit powered by LumiDB, the team can scan the route, upload the data, and perform the entire measurement workflow virtually. This approach is at least 50% faster and it delivers more consistent results because the data is drawn directly from the scanned geometry.
Reality-capture data gives a more reliable picture than manual measurements. We’re hearing from customers that reality-capture–based verification will replace many traditional measurements. You collect more data, faster, and you can prove compliance with far more certainty.
Visa Hokkanen
Chief Product Officer
Supporting new regulatory requirements
Upcoming circular-economy regulations require operators to document the locations and depths of buried cables so they can be traced and recovered decades later. Automated point-cloud–based validation supports these compliance workflows and reduces manual fieldwork.
Look ahead
Multi-sensor fusion will expand how projects are monitored and validated
Infrakit plans to combine real-time data from construction machinery with the scan data processed through LumiDB. Bringing these sources into one model will improve planning and monitoring, and it opens the door to future applications that rely on multi-sensor fusion, including autonomous systems.
Future use cases include autonomous forestry machines, industrial logistics, and defence scenarios where many sensors must be aggregated into a shared 3D representation.
Preparing for higher-fidelity visualization
As LumiDB becomes the core of Infrakit’s spatial data infrastructure, the team is exploring how higher-resolution visualization and time-series context could support more advanced planning and documentation workflows.
Explore modern approaches to 3D infrastructure data
We continue working with infrastructure teams that need efficient, secure, and scalable access to large 3D datasets.
Book a demo to see how LumiDB can support your verification workflows and integrate with your existing data pipeline.
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