AI-Powered Pavement
Condition Assessment
Every crack, pothole, and surface defect detected, classified, and mapped. Objective data to support your maintenance decisions.
The Challenge
Pavement deteriorates between assessments
Getting reliable condition data on your pavement is either expensive, time-consuming, or subjective. Manual inspections miss what the eye can't see. Specialized survey equipment requires significant investment and scheduling. Between assessments, deterioration goes untracked.
Manual Inspections
Subjective
Results vary by inspector and conditions
Specialized Equipment
High cost
Not practical for every site or every year
No Assessment
Most common
Defer until problems become emergencies
Early detection saves money. A minor crack left untreated can progress to structural failure requiring full-depth repair at many times the original maintenance cost. Aeriscan enables condition monitoring at any frequency, so maintenance decisions are based on current data.
How It Works
Capture. Classify. Deliver.
Four steps from drone deployment to actionable condition report. One integrated pipeline built for speed and accuracy.
Capture
RTK-positioned drones capture overlapping high-resolution RGB imagery at sub-centimeter ground sampling distance. Every flight is planned to ensure complete coverage with precise GPS positioning for every pixel.
Reconstruct
Photogrammetry software processes the overlapping images into a seamless orthomosaic and a Digital Surface Model, creating a geometrically corrected aerial view and 3D surface representation of the entire site.
Analyze
Our proprietary deep learning model processes every pixel of the combined imagery and surface data, classifying defects into categories including cracking, potholes, alligator cracking, patch repairs, and edge deterioration. Severity is ranked and condition scores are calculated.
Deliver
Every project is reviewed by our team before delivery. You receive a professional PDF report with executive summary, severity-classified defect maps, georeferenced GIS shapefiles, and a condition score for benchmarking over time.
Defect Detection
What We Detect
The AI model classifies every pixel into defect categories based on common pavement distress types.
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Cracking
Linear cracks including sealed and unsealed. Detected at sub-pixel width through contrast analysis. Severity ranked by relative width.
High priority◉
Potholes
Active surface depressions. Depth estimated from 3D digital surface model. Area and location georeferenced.
High priority▦
Alligator Cracking
Interconnected crack networks forming a mesh pattern. Indicates structural fatigue in the pavement base layers.
High priority▬
Patch Repairs
Previous cut-and-replace maintenance areas. Mapped to track repair history and assess patch condition.
Medium priority▏
Edge Deterioration
Breakdown along pavement edges and curb lines. Often caused by drainage issues or lack of shoulder support.
Medium priorityClassification note: Defect types are based on common pavement distress categories. Results should be verified by a qualified pavement professional before finalizing repair specifications.
Beyond Defects
Infrastructure Mapping & Drainage Analysis
The AI doesn't just detect defects. It maps the infrastructure features that matter for maintenance planning and drainage assessment.
Catch Basins & Drainage
Catch basin locations detected and mapped. Rim elevations extracted from the digital surface model to determine flow direction and drainage coverage across the site.
Manholes
Manhole covers detected and georeferenced. Mapped as part of the site infrastructure inventory for asset management and utility coordination.
Road Markings
Parking lines, directional arrows, and pavement markings identified and mapped. Useful for site layout documentation and restriping planning.
Why drainage matters: Poor drainage is a leading cause of premature pavement failure. By mapping catch basin locations and rim elevations, Aeriscan identifies areas where water may not be draining effectively, helping you address the root cause of deterioration, not just the symptoms.
Condition Rating
Aeriscan Condition Score
Every site receives a proprietary condition score from 0 to 100 based on the type, extent, and severity of detected distresses. Use it to benchmark sites and track changes over time.
Serious
Immediate professional assessment required.
Poor
Significant distress identified. Repairs recommended.
Fair
Moderate distress. Targeted maintenance may be beneficial.
Satisfactory
Minor distress. Routine monitoring recommended.
Good
Little or no distress detected.
Deliverables
What You Receive
Every assessment produces a complete package of reports, maps, and data files. Everything is georeferenced and ready for integration with your existing workflows.
Condition Report
Executive summary, defect inventory, severity analysis, repair prioritization with recommended actions and timelines.
PDFDefect Overlay Maps
Severity-classified defects visualized on the high-resolution orthomosaic. Separate maps for cracking and area defects.
PNG / PDFGIS Shapefiles
Georeferenced crack polylines and area defect polygons with measurements. Loads into QGIS, ArcGIS, or CAD.
SHP / GeoPackageCondition Score
Proprietary 0 to 100 rating for year-over-year benchmarking and portfolio comparison.
In reportOrthomosaic
Full-site aerial image at sub-centimeter resolution. Geometrically corrected and georeferenced.
GeoTIFFDigital Surface Model
3D elevation data revealing grade, drainage patterns, and surface depressions.
GeoTIFFSee what your pavement is telling you.
Request a demo assessment for your site. We'll show you exactly what Aeriscan delivers, using your pavement.
AI-powered drone inspection for commercial roofs and pavement. Serving Ontario.
Get in Touch
info@aeriscan.com
Ontario, Canada
Transport Canada Certified
A Holland Productions Company. © 2026
Oakville, Ontario