NCTech provides condition assessment services using cutting-edge 360° street-level imagery and geospatial data capture to evaluate traffic signs and pavements with unmatched accuracy.
Our method combines RGB visual scoring based on a trained machine learning model with normalised intensity data from our LiDAR sensor. This integrated scoring system enables us to provide an overall condition score for these assets on a network scale, surpassing the density achieved by traditional manual approaches.
The information is delivered as a dataset, simplifying the focus of departments on maintaining traffic signs and pavement striping conditions. This significantly decreases the necessity of sending personnel into the field for manual inspections across thousands of miles of their network.
We assist our clients by gathering the necessary data to meet their legislative requirements, comprehensively assessing the inherent risks within their footway network, and formulate maintenance plans, investment strategies, and safety enhancements.
We’re aiding local authority maintenance professionals and driving the active travel revolution by offering dependable data that our clients can trust.
NCTech integrates a streamlined delivery system with rigorous processes to maximize operational efficiency and drive cost reduction for all stakeholders. Integrated imagery with advanced GIS technology, enhancing the application and analysis of geospatial data for a multitude of projects globally.
Globally recognized as the partner of choice, we excel in designing, building, and implementing cutting-edge geospatial technologies. We empower you to harness the unparalleled advantages of street-level imagery combined with GIS, aligning perfectly with your department’s objectives.
We’ve gathered some of the most common questions we receive to help you find answers quickly. If you can’t find the answer you’re looking for, simply get in touch with our team and we’ll be happy to answer any questions you may have.
Traffic signs and pavements, with optional inclusion of markings, barriers/guardrail, curb ramps, and other right-of-way features.
We use 360° street-level imagery (and optional LiDAR) to identify, measure, and classify defects, then deliver mapped inventories that plug straight into your GIS/asset systems.
Commonly: potholes, cracking and surface distress, faded/missing signs or markings, obstruction hazards, and other safety/condition issues—scored or categorised for prioritisation.
Capture and positioning are designed for mapping-grade use, enabling reliable location, dimensions, and attributes suitable for planning and compliance.
Via Esri-friendly deliverables for GIS/asset management and organisation-wide review in VR.World for QA, collaboration, and desktop inspections.
Yes—desktop assessments typically cut a large share of site visits, shorten inspection cycles, and help target the highest-impact fixes first.
