AI-Powered Road Inspections

Road Infrastructure Management

Transform Your
Road Surveys

Automatically detect road assets, pavement defects, and condition scores from any dashcam video. Reduce inspection time and costs with actionable data on an interactive map.

Road Asset Detection Interface showing highway infrastructure analysis with AI-powered asset tagging
ASSETS TAGGED 0

Why Organizations Choose RoadAsset

Proven ROI and measurable results from day one

Survey vehicle with mounted camera capturing road data

Cut Survey Costs

Replace expensive manual inspections with AI-powered video analysis. One vehicle, one camera, entire network coverage.

Vehicle driving on highway during rapid road survey

Faster Data Collection

Survey 100+ km of roads per day instead of manual point inspections. Get results in hours, not weeks.

AI computer vision analyzing road infrastructure images

AI-Assisted Detection

AI-powered detection identifies road assets and defects with consistent, objective accuracy across all surveys.

Dashboard displaying road condition analytics and reports

Data-Driven Decisions

Prioritize maintenance based on objective condition data. Justify budgets with comprehensive visual evidence.

Technical Capabilities

Built for ML Training Workflows

Every feature designed to accelerate road infrastructure dataset creation—from video ingestion to YOLO export.

From Video to Dataset in Minutes

A streamlined workflow optimized for creating ML training data from dashcam footage.

01

Upload Video

GoPro MAX 360° footage with GPS

02

View GPS Track

Interactive map with route overlay

03

Tag Assets

Draw boxes, AI classifies

04

Dashboard

Analytics & asset overview

05

Export Dataset

YOLO11, VOC, or CSV format

14+
Asset Types
100+
Sign Codes
YOLO
ML Export
360°
Streetview
GPS Sync

GoPro MAX 360° Videos

Load GoPro MAX footage directly in-browser. GPS telemetry is automatically extracted from GPMF metadata with sub-second precision.

ML Ready

Precision Bounding Boxes

Draw bounding boxes on video frames. Auto-detect LHS/RHS positioning based on frame coordinates. Perfect for ML training data.

Qwen3-VL

AI Vision Analysis

Qwen3-VL vision model classifies assets, reads sign text via OCR, and assesses condition. Client-side YOLO detection available.

YOLO11

ML Dataset Export

Export annotations in YOLO11 or Pascal VOC format with train/validation splits. Full-frame extraction at 1920×960 resolution.

MapLibre

GPS Track Visualization

MapLibre GL renders your drive path. Click anywhere on the track to jump to that video timestamp. Asset markers sync in real-time.

Three.js

360° Streetview Mode

Extract frames at 1-meter intervals. Three.js panoramic viewer lets you explore any location along your recorded route.

Pre-Configured Asset Types

Malaysian JKR standard categories included

🪧 Signboard
🚦 Traffic Light
💡 Street Light
🚧 Guardrail
🛣️ Road Marking
🚰 Drainage
🛤️ Road Condition
🌉 Bridge
Global Coverage

Country-Specific Asset Categories

Pre-configured asset types based on national road infrastructure standards. Select your country to get region-specific categories and codes.

Available
🇲🇾

Malaysia

334+ traffic signs
Available
🇸🇬

Singapore

121+ traffic signs
Available
🇮🇩

Indonesia

265+ traffic signs
Available
🇳🇱

Netherlands

181+ traffic signs

Need Categories for Your Country?

We're expanding our coverage. Request asset categories for your country's road infrastructure standards, and we'll prioritize adding them.

Request Categories

Ready to Transform Your Road Surveys?

Start with a free survey run or talk to our team about enterprise solutions.

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