AI inspection for road signs

Road signs in view: from geolocation to CROW damage

A complete inventory and update of the road-sign network: from presence, Dutch RVV sign type and exact location to damage assessed against CROW visual quality standards. A foundation for safer public spaces and targeted, planned maintenance.

AI detection of road signs in the streetscape
From inspection to assessment

More than a count

Our AI identifies road signs and assesses defects for each asset, recording severity according to the CROW classification. We detect presence, Dutch RVV sign type and support, exact location and damage ranging from leaning and rotation to stickers and graffiti. Every sign is documented with a clear photograph.
This creates a current, verifiable view of the entire network as a basis for safer public spaces and targeted, planned maintenance.

Colour condition

Dents and holes

Surface deposits

Colour fading

Paint damage

Stickers and graffiti

Rotation

Leaning

Tilted road sign detected by Velotech

Asset status

Leaning · Klasse D

Object-level workflows

From street imagery to a specific maintenance action

Contractors see exactly where a damaged asset is located, which sign type it is and how severe the damage is. In the same environment, they mark repairs as complete, update the status and add a new photograph.

Detailed image of a detected damaged road sign

Current object-level insight into missing and damaged signs.

Reporting and integration

Data that fits your workflow

Results are available in a clear format for analysis, prioritisation and action. Alongside totals, you receive a complete asset passport with location, damage assessment and photograph.

Ready-to-use data

Delivery in Excel or directly into your chosen asset management system

Exact location

Every asset includes precise X and Y coordinates

Verifiable visual evidence

Every asset includes a high-resolution photograph and CROW damage classification.

Map of inspected road signs in The Hague, coloured by damage type
Analysis of inspected road signs, damage severity and damage types
Road signs with asset data and visual evidence in QGIS
Client experiences

What our clients say

Logo of City of Rotterdam
“Repeated lighting inspections across tunnels and cycle paths help keep Rotterdam safe.”

Kevin Koerten

City of Rotterdam

Logo of City of Amsterdam
“With current data from Velotech, we stay ahead of public reports and maintain control of our assets.”

Elsie van der Molen

City of Amsterdam

Logo of Heijmans
“Velotech provides a complete and reliable overview with integrated visual evidence for every asset.”

Jermain Wondel

Heijmans

City of Amsterdam
City of Rotterdam
Province of Utrecht
City of Haarlem
City of Nijmegen
Spaarnelanden
Heijmans
Griekspoor

Take control of all road signs in your area

Book a demo and discover how we survey road signs and deliver the results in a format that fits your asset management system.

Book a demo