AI inspection for road markings

Road markings in view: from location to CROW damage

A complete inventory of all road markings or a targeted survey of damaged markings. We map visibility, wear, damage, type and material at object level as a basis for road safety and planned maintenance.

AI detection of road markings with original image, bird’s-eye view and exact location
From inspection to assessment

More than counting lines

Our AI identifies road markings and assesses visibility, wear and damage for each asset. We also record the marking type, material and severity according to the CROW classification.
Clients can choose a complete inventory of every marking in an area or a targeted survey of damaged and missing markings only.

Visibility

Wear

Damage

Missing marking

Marking type

Material

CROW class

Surface area

Road-marking asset passport with location, CROW class and two image types
Object-level workflows

From damage assessment to targeted repair

Contractors see exactly where a damaged or missing marking is located, its type and material, and the severity of the damage. They can mark repairs as complete, update the asset status and add a new photograph in the same environment.

Current object-level insight into missing and damaged markings—essential for road safety.

Reporting and integration

Data that fits your workflow

Results are delivered in Excel, CSV or directly into geospatial tools such as ArcGIS, QGIS, GeoVisia and Greenpoint. Analysis, prioritisation and implementation are therefore based on one current dataset containing locations, asset characteristics, CROW assessments and visual evidence.

Depending on the client’s requirements, we can deliver at different levels:

  1. An Excel sheet containing all data points.
  2. A visual overview of all damage locations for maintenance prioritisation.
  3. A fully mapped network with every road marking and its asset passport, including all details and imagery.

Ready-to-use data

Delivery in Excel, CSV or directly into ArcGIS, Greenpoint and other geospatial tools.

Linked to location

Every marking is linked to its exact location, type and material.

Verifiable visual evidence

Every asset includes the original high-resolution image and a bird’s-eye-view image.

Map of inspected road markings and damage classifications
Road markings with asset data and repair status in a geo asset management system
Analysis of road markings, damage and severity by CROW class

Current asset data enables maintenance teams to intervene precisely and cost-effectively. Work becomes more predictable, budgets more targeted and repaired markings can be updated immediately.

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 markings in your area

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

Book a demo