An AI agent that finds, maps, and evaluates roadside assets—so you always know what exists, where it is, and what condition it's in.
Traditional inventory methods leave you with outdated registers,
expensive field operations, and compliance gaps.
Asset registers are outdated the moment they're created. New signs appear, old ones disappear, and no one updates the database in time.
Manual asset surveys need lane closures, field crews, and repeat site visits—slow, expensive, and hard to repeat.
Missing signs, damaged barriers, and poor visibility are discovered only after inspections or incidents.
RoadVision AI keeps your asset inventory current and compliant—automatically.
VIDEO → AI DETECTION → ASSET DATABASE — fully automated.
The agent tracks common roadside assets across all road classes. Each asset includes location, asset type, condition status, and visual reference.
Complete visibility into your network's roadside asset inventory
and condition—all in one GIS-based interface.
GIS-based map showing all detected roadside assets with real-time location markers and status indicators.
GIS-based map showing all detected roadside assets with real-time location markers and status indicators.
Searchable inventory of all asset types organized by category, with filtering and sorting capabilities.
Condition ratings (Good/Fair/Poor/Critical) for every asset with trend analysis and maintenance priority.
Click any asset to view the original video frame for visual verification and audit purposes.
Compare survey snapshots over time to identify newly installed, missing, or damaged assets automatically.
Your data is portable. Your system is future-proof.
Your data stays yours. Full export, anytime.
Reliable asset registers without manual surveys.
Faster asset inventories with consistent outputs.
Continuous visibility of safety assets.
Clear asset lists before and after work.
No. The agent works with any dashcam or vehicle-mounted camera with GPS and timestamp capability. Use existing patrol vehicles, routine inspections, or dedicated survey runs—the agent adapts to your workflow without requiring specialized equipment.
Every survey run updates the inventory automatically. You can conduct surveys as frequently as needed—weekly patrols, monthly inventories, or continuous monitoring—and the asset database updates in near real-time with new, changed, and missing assets flagged.
Yes. Asset types and condition assessment rules are fully configurable. Define your own asset categories, add organizational-specific attributes (maintenance cycles, replacement costs, priority levels), and customize condition thresholds to align with your standards and compliance requirements.
Our models are trained on thousands of miles of real-world roadside asset data, validated against manual field audits and certified asset surveys. Accuracy exceeds 92% consistency with manual inventories. All asset detection includes human-in-the-loop review for verification before assets are added to the live inventory.
Standard deployment is cloud-hosted on AWS with ISO 27001 and SOC 2 compliance for scalability and reliability. For specific data residency, regulatory, or security requirements, the system is cloud-agnostic and can be deployed on-premise. All asset data is encrypted in transit and at rest with role-based access controls and audit logging.
The agent flags changes between surveys—damaged assets are marked with their condition status (Poor / Critical), and missing assets are identified when they're no longer detected in their last known location. You receive alerts and can prioritize repairs or replacements immediately.
Yes. Asset inventories and reports can be exported in standard GIS formats and integrated with your existing RAMS, asset management, or maintenance planning systems via API or standard file formats.
Integrating multi-modal data, predictive intelligence and enterprise
workflows to redefine infrastructure management worldwide.
Partner with us to build smarter, safer roads with autonomous AI technology