Iris R&D Group offers advanced AI-driven solutions designed to automate and modernize road and asset maintenance for municipalities, states, and concessionaires worldwide. By integrating artificial intelligence and computer vision technologies, Iris empowers clients to monitor road conditions and asset deficiencies effectively, enhancing road safety, ensuring legislative compliance, and improving operational efficiency. Key Features and Functionality: - Automated Road Patrol: Utilizes the irisGO camera to detect and report road defects such as potholes, cracks, and damaged or missing roadway assets, including traffic signs and streetlights. This system can identify over 300 asset types, allowing for personalized monitoring tailored to specific safety and operational needs. - Pavement Condition Survey: Employs AI to evaluate the Pavement Condition Index (PCI) of roads and sidewalks by identifying defects like cracks, potholes, and roughness. This assessment aids in prioritizing maintenance tasks and informs budget allocations for infrastructure improvements. - Roadway Asset Inventory: Digitally captures and inventories right-of-way assets such as traffic signs, fire hydrants, and streetlights, recording attributes like sign codes, text, and asset sizes. This digital archive facilitates audits, planning, and optimization of traffic flow and public safety measures. Primary Value and Solutions Provided: Iris R&D Group's solutions address critical challenges in road maintenance by automating data collection and analysis, thereby reducing the reliance on manual inspections and mitigating labor shortages. This automation leads to faster response times, cost savings, and improved safety outcomes. By ensuring timely identification and repair of road defects and asset deficiencies, Iris helps extend the lifespan of infrastructure, enhance compliance with regulatory standards, and protect communities through safer road conditions.