Deep Technology

20+ AI models.
One seamless pipeline.

This is not a simple drag-and-drop tool. Road Triage is a sophisticated ensemble of computer vision, machine learning, and pavement engineering models working in concert. It took years to build so that it runs automatically for you.

Computer Vision

17 distress types. Measured automatically.

Every image is analyzed by the Road Triage Perception Engine — our proprietary AI pipeline. Each distress is identified per ASTM E1778 terminology, classified by severity per ASTM D6433, measured from imagery per ASTM E3303, and crack widths quantified per AASHTO R 55. Scoring applied via ODOT DSE and Wisconsin PASER methodologies alongside D6433. Applied to both asphalt and concrete pavements.

Potholes
Surface Defect
Fatigue (Alligator) Cracking
Cracking
Fatigue Cracking (Sealed)
Cracking (Sealed)
Longitudinal Cracking
Cracking
Longitudinal Cracking (Sealed)
Cracking (Sealed)
Lateral / Transverse Cracking
Cracking
Lateral Cracking (Sealed)
Cracking (Sealed)
Edge Cracking
Cracking
Edge Drop-Off
Surface Defect
Block Cracking
Cracking
Block Cracking (Sealed)
Cracking (Sealed)
Rutting
Surface Deformation
Raveling
Surface Defect
Bleeding / Flushing
Surface Defect
Shoving
Surface Deformation
Slippage Cracking
Surface Deformation
Patches and Repairs
Surface Deformation
Precision Measurement

How we measure crack severity and distress dimensions.

Multi-Frame Observation

Road Triage does not rely on a single image. The Perception Engine observes every distress across multiple frames as the survey vehicle passes — the same crack may appear in 5 to 15 consecutive images from varying distances and angles. This builds a measurement profile for each distress, cross-validates between frames, and identifies the optimal observation distance for the most reliable results.

Pixel-Precise Measurement

Distress dimensions — length, width, and area — are derived from pixel-precise AI segmentation masks, not bounding box approximations. Each pixel maps to a known ground area through our AI-powered camera calibration system, which automatically calibrates after data collection using reference objects and spatial relationships in the survey imagery. No specialized setup by drivers — just mount the camera and drive.

Standards-Based Classification

The calibrated measurement pipeline delivers estimated distress area in square feet, length and width in feet, and crack width classification into the industry-standard Low, Medium, and High severity categories defined by ASTM D6433 and AASHTO R 55. Precise area measurement combined with standardized severity classification gives engineers both the quantitative data for density calculations and the categorical data required by scoring methodologies.

Built-In Confidence Scoring

Every measurement carries an internal confidence score. When the system is uncertain about a classification, it flags the observation for quality review rather than guessing. The result is measurement data you can trust for network-level decision making.

Unified Detection & Measurement Pipeline

One pipeline. Five scores. Every standard.

Every identified distress is classified per ASTM E1778 terminology, measured via the Road Triage Perception Engine, and crack widths analyzed per ASTM E3303 and AASHTO R 55. That unified pipeline then feeds all five scoring methodologies. Every standard applies to every score — they just use the results differently. Applied to both asphalt and concrete pavements.

Shared Foundation — Applied to Every Score
ASTM D6433 — Distress Identification ASTM E3303 — Crack Measurement from Imagery ASTM E1778 — Distress Terminology AASHTO R 55 — Crack Width Quantification
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Feeds all five scoring methodologies
RT-PCI RT-PASER RT-CCI RT-PCR RT-SDI
RT-PCI
0-100

Pavement Condition Index

ASTM D6433: 17 distress types, severity classification, deduct value curves, corrected deduct value (CDV) procedure
ASTM E3303: Crack identification and measurement from digital imagery using AI-powered segmentation
ASTM E1778: Standardized distress terminology for consistent classification
AASHTO R 55: Crack width measurement and severity quantification from automated image analysis
RT-PASER
1-10

Pavement Surface Evaluation and Rating

Wisconsin PASER: 1-10 visual condition rating methodology adapted for automated assessment
ASTM D6433: Distress type identification and severity classification as input to the PASER rating
ASTM E3303: Crack identification and measurement from digital imagery
AASHTO R 55: Crack width measurement and severity quantification
RT-CCI
0-100

Cracking Condition Index

ASTM E3303: Primary methodology — aperture-weighted cracking index computed from digital imagery
AASHTO R 55: Crack width-based severity classification (Low, Medium, High)
ASTM D6433: Cracking distress type definitions and severity criteria
ASTM E1778: Standardized distress terminology
RT-PCR
0-100

Pavement Condition Rating

ODOT DSE: Ohio DOT fixed deduction tables by distress type, severity, and extent
ASTM D6433: Distress type identification, severity classification, and density computation
ASTM E3303: Crack identification and measurement from digital imagery
AASHTO R 55: Crack width measurement and severity quantification
RT-SDI
0-100

Surface Distress Index

FHWA SDI: Federal Highway Administration Surface Distress Index methodology with weighted category scoring
ASTM D6433: Distress type identification, severity classification, and density computation
ASTM E3303: Crack identification and measurement from digital imagery
AASHTO R 55: Crack width measurement and severity quantification

All five assessments apply to both asphalt and concrete pavements. Distress detection, classification, and measurement are performed once through a unified pipeline, then each scoring methodology applies its own calculation procedure to the shared distress data.

The Dashboard

The Road Triage Helm.

All results flow into a powerful web-based mapping and analytics platform. Interactive maps, change detection, AI-powered queries, and 13+ export formats.

Interactive Maps

11+ visualization types including PCI, PASER, distress density heatmaps, and asset inventory overlays.

Change Detection

Compare assessment cycles side-by-side. Automatically flags segments that improved, held steady, or declined.

AI-Powered Analysis

Ask questions in natural language. Get instant insights about your network conditions, trends, and data.

Federal & State Data Overlays

Crash records, traffic data, flood zones, bridge inventory, census demographics, and more — overlaid on your network.

Comprehensive Data Export

PDF, Excel, CSV, GeoJSON, Shapefile, KML, GeoPackage, DXF, HTML, JSON, XML, SQLite, JSONL. Ready for any GIS platform.

Actionable Condition Data

Detailed distress inventories, condition scores, imagery, and analytics — everything your team needs to make informed decisions.

See the technology in action.

Schedule a demonstration and walk through the platform with our team.

Schedule a Demonstration