Imagine taking thousands of photos of a bridge and instantly turning them into a hyper-realistic 3D model you can walk through on your screen. Instead of scrolling through endless folders of pictures to find a crack, an AI automatically highlights and groups the problems for you. It's like having a digital X-ray of a building that tells you exactly where the wear and tear is happening over time.
Traditional infrastructure inspections are expensive, disrupt operations, and create massive data bottlenecks where engineers must manually sift through thousands of photos to find defects.
A SaaS photogrammetry solution that creates fluid 3D digital twins with automated AI defect detection and the ability to overlap consecutive inspections to track deterioration.
If you are a road authority dealing with the high cost of closing bridges for inspection—which can cost €1,400 per event—this project developed an AI photogrammetry solution that reduces total inspection costs by 65% compared to traditional methods.
If you are a refinery operator dealing with the danger and complexity of inspecting massive platforms, this project developed a 3D digital twin that allows engineers to inspect photorealistic models directly, removing the need for manual photo library review.
If you are a drone company dealing with the bottleneck of analyzing 30GB of data per bridge, this project developed a SaaS tool that automates defect clustering and annotation to speed up delivery to clients.
Based on available project data, AI-based systems like Twinspect can reduce total inspection costs by 65%, representing a 92% saving compared to direct on-site inspections by engineers.
Yes, it is specifically designed for large infrastructure such as dams and refineries, capable of processing projects with over 100,000 photos.
The solution is delivered as a SaaS (Software as a Service) directly to infrastructure owners or via third-party inspection providers.
By using drones and 3D models, it achieves 100% savings from inspecting infrastructure without disrupting normal operations, keeping inspectors safe on the ground.
The project period runs from December 1, 2023, to November 30, 2025.
The project is led by a single German SME, Twinsity GmbH. With a 100% industry ratio and no university or research partners, the project is lean and commercially driven, focusing on rapid market entry and scaling an existing MVP rather than basic research.
Contact Twinsity GmbH in Germany for SaaS licensing and pilot opportunities.
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