AI-ready data for smarter infrastructure
With the evolving infrastructure landscape, accuracy and data intelligence are important. The client is an AI innovator in infrastructure asset management, reimagining how large-scale data is collected and utilised to inform on-the-ground decisions. Their expansion in AI capabilities for complex infrastructure projects resulted in the need to refine foundational data that fuels their modules. From traffic to terrain, every data point plays a role in shaping the outcome. RMSI became a partner in the project to help them strengthen their spatial data layers using AI.
The project focused on two unique challenges. The first was to classify terrain, to ensure every line reflected the landscape clearly. This meant carefully reviewing existing data, modifying linework, and validating polygon classifications with a sharp eye for accuracy. The second involved traffic sign verification. The team needed to verify the signs captured by AI, ensure their correct placement and type, and manually identify any signs that the system might have missed. Achieving the 98% quality threshold was crucial, delivered with speed and efficiency.
To meet the client’s ambitious data accuracy goals, RMSI rolled out a dual-track solution tailored to the project demands.
We followed a two-stage approach for terrain classification, starting with a meticulous review and refinement of existing linework, followed by detailed annotation of polygon data based on real-world terrain features. Every team member was rigorously trained on project-specific standards before diving into the verification phase.
For traffic sign verification, our specialists validated AI-detected signs for accuracy in extraction, placement, type, and carrier. They also flagged any signs that were missed. A 100% quality control process, reinforced by continuous QA checks, ensured we consistently met the 98% quality threshold. This resulted in clean, reliable datasets that RMSI delivered with confidence.
The collaboration delivered measurable improvements across the board. With an expanded and well-trained team, RMSI not only met but consistently upheld the 98% quality benchmark, bringing greater precision to terrain classification and traffic sign verification alike. The refined datasets empowered the client’s AI systems with higher accuracy and reliability, ultimately enhancing decision-making for infrastructure planning. Beyond the numbers, the project stood out for its seamless execution, marked by prompt query resolution, technical agility, and close coordination with the client’s evolving inputs. The result was not just a successful data delivery, but a trusted partnership built on quality, responsiveness, and shared commitment to excellence.
