Track inspection coverage.
View inspected routes alongside device and upload status. See where coverage is missing and where a follow-up inspection is needed.
Australian road inspection technology
Civolens uses dedicated vehicle-mounted cameras and onboard AI computing to inspect road surfaces, signs and markings. Review the findings and plan the work in one platform.
Based in Australia. Built for councils, fleets and road maintenance teams.

01 / The Civolens platform
Civolens brings inspection routes, defect images and review records together. Find an issue on the map, check the evidence and decide what needs attention.
Network coverage, inspection records and defect review.
View inspected routes alongside device and upload status. See where coverage is missing and where a follow-up inspection is needed.
Check each finding against its image, location and capture time. Confirm or dismiss it before it goes into the maintenance record.
Keep reviewed findings linked to their source images for reporting, maintenance planning and asset-system handover.
Dashboard illustration generated with AI. Records and interface shown are examples.
02 / The workflow
Inspection cameras capture the road. Onboard processing hardware runs the detection models on the vehicle. Your team reviews the results in Civolens.
Dedicated inspection cameras are mounted and configured for the vehicle, with a consistent view of the road and roadside assets.
DEDICATED CAMERA SYSTEMOnboard AI computing processes camera imagery to identify road defects, leaning or damaged signs, and worn road markings.
ON-VEHICLE PROCESSINGReview flagged issues with their supporting images. Confirm the findings and use the records to plan inspections and maintenance.
REVIEW BEFORE OPERATIONAL ACTION03 / What Civolens detects
Inspect pavement condition and roadside assets on the same route, from potholes and cracking to leaning signs and worn paint.

Locate breaks and cavities in the road surface and review the extent of visible damage.
Identify cracking patterns, including alligator cracking, across the road surface.
Record existing asphalt patches alongside new damage when reviewing road condition.
Flag leaning posts and visible damage to sign faces for inspection and repair.
Identify faded, worn and missing paint on lane lines and road markings to help plan remarking work.
Road, sign and marking illustrations are AI-generated examples with sample annotations.
04 / Detection example
A road-surface finding from our inspection footage.
Civolens highlights the affected area so the reviewer can check the cracking in context. This image shows the original detection output.
Actual model output
05 / Working with your team
From installing the cameras to reviewing the first inspection, we help your team get Civolens working on your roads.
Your team should not have to re-enter every finding. We help you choose a practical way to transfer defect locations, images and review records into your asset system.
Before installation, we set out where imagery is stored, who can access it and how long it is kept. Your service agreement covers data ownership, exports and any use of images for model training.
Installation & rollout
06 / Built for road teams
For local councils, state road authorities such as TMR, fleet operators and maintenance contractors.
Inspect local road networks using routine vehicle routes. Review defects and coverage to inform maintenance priorities.
UNDERSTAND YOUR NETWORK ↗Identify road-condition issues along the routes your vehicles travel and share the findings with your operations team.
ADD INSIGHT TO EVERY JOURNEY ↗Use location-linked images to assess reported defects and prepare maintenance work.
FOCUS THE NEXT INSPECTION ↗Talk to Civolens
Contact our Australian team to discuss your vehicles, inspection routes and reporting needs.
Tell us what you need to inspect and how your team works. We can walk you through Civolens and discuss a suitable setup.
Request a demo