Frequently asked questions

AI Road Intelligence is the use of artificial intelligence to continuously analyse, interpret and update road infrastructure data. It automatically identifies changes to road assets such as signs, markings, barriers, lighting, and other infrastructure from multiple data sources, providing local authorities with an accurate, up-to-date digital view of their road network. This enables faster decision-making, improved safety, reduced manual inspections, and more efficient asset management.

Road Intelligence can detect and identify virtually all road and municipal infrastructure assets, along with defects affecting those assets and the wider road network. This includes traffic signs, road markings, barriers, street lighting, drainage infrastructure, footpaths, cycle lanes, bridges, and other public assets. The system can also identify defects such as potholes, damaged signs, faded road markings, surface deterioration, blocked drains, vegetation encroachment, missing or damaged barriers, and other maintenance issues. By continuously monitoring the network, Road Intelligence provides local authorities with an accurate, up-to-date picture of asset condition, helping them prioritise maintenance, improve safety, and manage infrastructure more efficiently.

Once Road Intelligence is installed on refuse collection vehicles, approximately 90% of the road network can be surveyed every week as part of normal waste collection operations. This provides local authorities with continuously refreshed road and asset data without the need for dedicated survey vehicles, enabling faster identification of changes, defects, and maintenance requirements.

Road Intelligence combines advanced AI-powered computer vision, high-resolution imaging, GPS positioning, and geospatial mapping to automatically detect, classify, and monitor road defects and infrastructure assets. The system analyses images captured during routine vehicle operations to identify defects, assess asset condition, and record precise locations. This data is then processed through our intelligent asset management platform, giving local authorities accurate, up-to-date information to prioritise maintenance, improve safety, and make informed, data-driven decisions.

Refuse collection vehicles travel almost every street on a regular weekly schedule, making them the ideal platform for continuously monitoring the road network. By installing Road Intelligence on these vehicles, local authorities can collect high-quality infrastructure data during normal operations without deploying dedicated survey vehicles. This significantly reduces surveying costs, increases the frequency of inspections, lowers carbon emissions, and ensures that road defects and asset changes are identified much sooner than with traditional inspection methods.

Yes. The Road Intelligence admin platform allows users to “replay” the road network by location and time period, enabling a full visual review of all detected assets and defects. Users can navigate along mapped routes, view historical and current data layers, and inspect individual road segments in detail. This provides a clear audit trail of how infrastructure conditions have changed over time and supports more accurate decision-making, maintenance planning, and reporting.

The Road Intelligence API provides secure access to comprehensive road network data, allowing third-party systems to integrate directly with the platform. Available data includes road images, timestamps, GPS coordinates, detected road defects, identified infrastructure assets, and associated metadata. To support historical analysis and change detection, the platform stores multiple versions of each surveyed road, enabling municipalities to compare current conditions with archived footage over time. This makes it easy to track asset changes, verify completed works, analyse deterioration, and integrate Road Intelligence data into existing asset management and GIS systems.

Road Intelligence is designed to operate globally. The platform can be deployed in any country where refuse collection vehicles regularly service the road network and where road infrastructure assets require monitoring. Because the system uses existing municipal fleets, it can be rapidly deployed across cities, towns, and municipalities worldwide without the need for dedicated survey vehicles. This makes Road Intelligence a scalable and cost-effective solution for local authorities regardless of location.

Yes. The SmartX onboard AI camera system is a multi-purpose platform that can be expanded with additional cameras as your operational requirements evolve. Alongside AI Road Intelligence, it can be used to monitor refuse collection operations, verify bin collections, identify missed bins (where bins were not presented for collection), and inspect recycling bins for contamination. This allows municipalities to maximise the value of a single hardware platform, supporting multiple waste management and road infrastructure applications without requiring separate camera systems.

Yes. We offer field trials on a single vehicle for an agreed period, allowing municipalities to evaluate the Road Intelligence platform under real operating conditions. During the trial, the system captures and analyses live road network data, enabling your team to assess detection accuracy, coverage, reporting capabilities, and the overall value of the platform. At the end of the trial, we provide a detailed review of the results to help you make an informed decision before rolling out the solution across your fleet.

Yes. The SmartX AI camera system is designed to be installed on virtually any municipal or commercial vehicle, including gritting trucks, road sweepers, highways maintenance vehicles, dog warden vehicles, parks and recreation vehicles, inspection vehicles, and many others. This enables local authorities to extend road and asset monitoring across their entire fleet. For temporary vehicles or short-term deployments, we also provide the Road Intelligence mobile app, allowing data to be captured without the need for a permanent camera installation. This gives municipalities maximum flexibility while increasing the frequency and coverage of road network inspections.

Yes. Road Intelligence uses AI models that continuously improve as they are exposed to more real-world data. The more images, detections, and verified data points the system processes, the more accurate and intelligent it becomes at identifying road defects, infrastructure assets, and changing conditions. This continuous learning approach enables the platform to adapt to different environments, improve detection accuracy, reduce false positives, and deliver increasingly reliable results over time.

Yes. Road Intelligence records the precise GPS location, date, and time of every detected road asset. When the same route is surveyed again, the system automatically compares the latest data with previous records. If an asset is missing, removed, or has been relocated, the platform can flag the change and alert users for further investigation. This provides local authorities with an efficient way to identify potentially stolen, vandalised, or unauthorised changes to road infrastructure while maintaining a complete historical record of each asset.