Automatic inventory

Assets are detected, positioned and documented as vehicles drive, and kept up to date over time.

Traffic Sign Inventory using 3DAI from Univrses

Geometric and visual assessment

Each asset is evaluated both for position and for visible condition.

AI Asset Inventory using 3DAI from Univrses

Sub-metre positioning

Traffic signs are located to sub-metre accuracy in nominal conditions, across hundreds of sign classes.

Condition monitoring

Asset condition is tracked across the network, not only at a single point in time.

Prioritised maintenance

Damaged assets are grouped by severity and damage type, supporting faster decisions and a more resilient network.

Visual evidence on record

Every asset links to anonymised imagery for verification, planning and reporting.

Budget support

Objective visual evidence backs funding discussions and reduces maintenance debt through earlier action.

Privacy by design

All imagery is anonymised, with no personal data stored.

Your network is always changing

Road assets are constantly changing. Signs get damaged, drainage gets blocked, manholes shift, streetlights fail, road works appear — and maintenance debt quietly builds up across the network.

With 3DAI™, everyday road journeys turns into a continuously updated digital twin of your assets and their condition.

Detected on every pass

Every time a 3DAI™-equiped vehicle travels the network, key assets — traffic signs, manholes, drainage elements, streetlights, road works and other roadside infrastructure — are automatically detected, positioned and documented.

Instead of relying on outdated spreadsheets, manual surveys or reactive reports, road owners get a live, evidence-based view of what exists, where it is, and what condition it's in.

From perception to prioritisation

3DAI™ uses Univrses' proprietary perception, positioning and AI algorithms to automatically build and maintain an accurate asset inventory.

Each detected asset is assessed both geometrically and visually. For traffic signs, for example, 3DAI™ can identify hundreds of sign classes across multiple categories, estimate position with sub-metre accuracy in nominal conditions, determine orientation, and evaluate visible condition.

Every asset is linked to anonymised imagery, giving teams the visual evidence they need for verification, manual assessment, planning and reporting.

Move beyond reactive maintenance

Damaged or degraded assets are automatically grouped into maintenance galleries, with severity and damage type reported to speed up prioritisation.

This helps road owners and operators shift from reactive maintenance to a resilient, data-driven strategy: know which assets need attention, understand where risk is increasing, and prioritise interventions before small defects become costly failures.

Build resilience with better asset intelligence

With 3DAI™, you can:

Automatically build and update your road asset inventory
Monitor asset condition across the network
Reduce blind spots in maintenance planning
Identify damaged assets and prioritise interventions
Back budget discussions with objective visual evidence
Cut maintenance debt through earlier, better-informed action
Strengthen your digital twin with real-world perception data

Stay on top of what's happening across your network — how many assets you have, where they are, what condition they're in, and which maintenance strategy will create the greatest impact.