iris road intelligence is an award-winning infratech solution that leverages AI and computer vision to automate road patrolling, asset data collection, and maintenance workflows. Designed for both public and private sectors, it helps extend road infrastructure life, improve service levels, comply with regulations, reduce costs, and enhance safety. The end-to-end ecosystem includes specialized cameras, a flexible dashboard, and a mobile app, enabling users to monitor and repair defects like potholes and cracks, detect up to 300 damaged or missing roadway assets (traffic signs, street lights, pavement markings, graffiti), and evaluate Pavement Condition Index (PCI) by identifying cracks, rutting, roughness, and other distresses. The system also captures and inventories assets with attributes such as sign codes, street names, and sizes, cataloging them for future reference. A key feature is automated image redaction to protect public privacy, ensuring compliance with standards while delivering reliable first-party data personalized to operational goals of multiple departments. Use cases include routine road inspections, asset inventory management, PCI assessments, and work order generation for maintenance teams. Technical details: the solution integrates with existing workflows, provides real-time dashboards, and supports customizable detection modelsβas demonstrated by Greeley, Colorado, which uses iris to detect shoes on power lines. By automating data collection and analysis, iris empowers agencies to execute timely maintenance, reduce operational spend, and meet regulatory standards efficiently. Whether for city public works, transportation departments, or private road operators, iris road intelligence transforms road management with actionable insights from AI-driven data.
public sector road agencies, private infrastructure companies, maintenance teams, asset managers, safety inspectors, civil engineers, municipal governments