Leverage artificial intelligence for roadside asset management

Efficient roadside asset management is critical for maintaining infrastructure, improving safety, and optimizing resources.

Traditional methods are time-consuming, prone to human error, and often require costly manual inspections. With AI-powered vision technology, you can automate the detection and identification of assets, improving accuracy and operational efficiency.

Asset intelligence you can trust

Accurate roadway asset inventories, so your team knows where every single sign is located and its condition.

Monitor road inventory condition

Review changes in the state of your assets so you can rapidly fix any vandalized, damaged, or missing signs and improve the safety of your roads.

Keep an eye on your key assets

Signs

Warning, Regulatory, Destination, Information Signs

Point assets

Signals & Devices, Light Posts & Utility Poles, Fire Hydrants & Parking Meters, Markers & Delineators

Line assets

Guardrails & Barriers, Medians & Sidewalks, Pavement Markings, Lanes & Shoulders

Reduce risk and liability

Autonomous and vehicle-mounted cameras are revolutionizing asset management by providing a data-rich approach that enhances situational awareness.

With detailed visual insights, transportation leaders can identify and address underlying issues before they escalate, ensuring a more resilient roadway network. This proactive method also helps meet regulatory standards, such as MUTCD and MIRE, while improving overall infrastructure management.

Do more with your data

Whether urban road management, highway maintenance or smart cities efforts, AI-powered asset management improves the process of cataloging, monitoring, maintaining, and improving assets beyond signs including:

  • Fire hydrants
  • Pavement conditions
  • Manhole covers
  • ADA ramps
  • Guardrail and concrete barriers
  • Light poles
  • Work zone signals
  • Mile posts and markers
  • Vegetation
  • Railroad crossings and signals
  • Drainage systems

How it works

1. Capture visual data

Use satellite images, drones, or ground-based cameras to capture high-resolution visual data of roadways.

2. RAIC AI-driven analysis

Our AI models analyze the visual data to detect and identify assets like traffic signals, road markings, barriers, and more.

3. Actionable insights

Access detailed reports and real-time updates on asset conditions, helping you make informed decisions on maintenance and repairs.

Save time, cut costs, add value.

Start leveraging AI today for faster, more accurate, and cost-effective roadway maintenance. Contact us for a demo or to learn more.
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