Road Condition Analysis

Map every crack before the road fails.

Dronnix combines high-resolution drone mapping and AI-powered analysis to assess road condition across corridors, municipal streets, and private access roads in one repeatable workflow.

High-resolution RGB capture AI crack and pothole detection GIS-ready municipal datasets
100%
Road Coverage
Full surface coverage per flight, not sample-only windshield surveys.
1
Flight Workflow
Capture, analysis, condition scoring, and report outputs in one process.
4
Condition Classes
A to D segment scoring for prioritized maintenance planning.
The Challenge

Road damage spreads faster than budgets can react.

Cracks, edge breakup, rutting, and potholes often start as localized surface defects. When they are missed, moisture enters the pavement structure and small repairs become reconstruction work.

Manual road surveys are slow, inconsistent, and difficult to repeat across a full municipal network. Aerial mapping creates a visual record that can be measured, compared, and revisited.

Maintenance plans are stronger when every defect is mapped, measured, and prioritized.
How It Works

Three steps. One flight. Decision-ready output.

Step 1 - Drone mapping. The drone captures systematic, overlap-optimized RGB imagery across the road corridor to create a complete photographic record.

Step 2 - AI defect detection. Computer vision models identify cracks, potholes, surface breakup, rutting, and edge damage with consistent detection thresholds.

Step 3 - Classification and report. Each segment receives a condition class based on defect density and severity, delivered with maps, inventories, and planning summaries.

AI-annotated road defect map
Raw drone road imagery
Raw Aerial AI Annotated
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Drag to compare raw imagery and AI output

Road Classification

Every road segment gets a condition score.

Defect type, density, and severity are converted into clear classes so maintenance teams can compare segments and plan work by priority.

Good
A

No Action Required

Minimal surface distress. Routine monitoring and normal maintenance are recommended.

Fair
B

Preventive Treatment

Minor cracking or early wear. Seal coating or localized treatment can extend service life.

Poor
C

Scheduled Repair

Moderate defects. Patching, resurfacing, or targeted repair should be planned.

Critical
D

Immediate Action

Severe damage. Urgent repair, reconstruction, or safety review is required.

Example output: classified road network Road network classified by condition score A to D
Deliverables

What you receive.

01

Pavement Condition Map

Geo-referenced orthomosaic with color-coded segment scores and visible defect context.

02

Defect Inventory

GIS-ready defect records with type, severity, GPS location, and measured area or length.

03

Priority Summary

Segment ranking and recommended repair priority for municipal planning and budgeting.

04

Annotated Imagery

Marked-up image evidence that helps crews verify field conditions before dispatch.

Why Aerial

Coverage that manual surveys cannot match.

One flight creates a consistent record across the whole route, with less disruption and cleaner data for long-term asset management.

Capability Dronnix Road Analysis Manual Road Survey
Surface coverageFull corridorVisual sample or driven notes
Lane closure requiredNo routine closureOften required for close inspection
Defect locationGPS-tagged recordsManual references
RepeatabilityConsistent detection workflowVaries by crew and conditions
Planning outputGIS-ready datasetReport notes and photos
Before/after trackingComparable imagery over timeHarder to normalize
Get Started

Start with your road network.

Send us the route, area, or municipal network you want assessed. We will scope the flight plan and quote the deliverables your team needs.

Based in Calgary, AB Available across Alberta GIS-ready deliverables