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IR

IRIS R&D Group

IRIS provides AI-enabled pavement assessments and automated road patrols using specialized cameras and a data visualization dashboard to monitor road conditions and inventory roadway assets. This technology helps municipalities and private sectors efficiently identify and address road defects, ensuring compliance with regulatory standards while reducing operational costs.

Burlington, CanadaFounded 2018362K+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Municipalities and private road operators face challenges in efficiently monitoring road conditions, managing roadway assets, and ensuring compliance with regulatory standards, often relying on manual inspections that are time-consuming and costly. Identifying and addressing road defects and inventorying assets like traffic signs and streetlights through traditional methods can be inaccurate and delay necessary maintenance.

Solution

IRIS offers an AI-powered solution for automated road assessments and asset management, utilizing specialized cameras and a data visualization dashboard to provide insights into road conditions. The system captures and processes images of roadways to identify defects such as potholes and cracks, as well as inventorying roadway assets like traffic signs and street lights. The AI-driven dashboard integrates with existing work order management systems, enabling efficient identification and prioritization of maintenance needs, reducing operational costs, and improving compliance with regulatory standards. The platform prioritizes public privacy through automated image redaction.

Target Audience

The primary target audience includes municipalities, public works departments, and private road operators responsible for road maintenance, asset management, and regulatory compliance.

Features

  • AI-enabled dash cameras (irisGO) for installation on patrol vehicles, buses, and other vehicles or static locations.
  • Automated detection of road defects, including potholes, cracks, rutting, and roughness.
  • Roadway asset inventory, capturing attributes such as sign codes, street names, and asset sizes for traffic signs, fire hydrants, and street lights.
  • AI-driven data visualization dashboard (irisCITY) that integrates with work order management systems and ERPs.
  • Pavement Condition Index (PCI) evaluation based on identified defects.
  • Automated image redaction to protect public privacy.
  • Integration capabilities with existing systems like CityWorks and Cartegraph.
This profile is AI-generated and may contain inaccuracies.