Keeping up with roadway asset inventory is labor-intensive and prone to errors. Road Ready Insights — part of Nerdery’s Civic Analytics AI suite on Google Cloud Platform — uses AI and machine learning to identify high-risk areas and update inventory, using real-time analytics, to optimize infrastructure resources.
Road Ready Insights frees your team from tedious inventory tasks. Our Google Cloud powered AI solution enhances data accuracy, and provides valuable insights into asset conditions, trends, and potential risks, ultimately contributing to safer and more efficient roadways.
Streamline tracking and forecasting of infrastructure assets, reducing stock shortages and overstocking.
Ensure your critical infrastructure like road signs and guardrails are properly maintained — reducing road safety risks.
Automate inventory counting and asset monitoring, saving time on manual checks and improving resource allocation.
A state Department of Transportation (DOT) partnered with Nerdery and Google Cloud Platform to address the challenge of managing their vast roadway assets. Facing labor-intensive and error-prone inventory methods, they sought a technology-first solution. Together, we developed an AI-powered proof of concept focused on specific stretches of highway — utilizing Vertex AI and Gemini to automatically detect and identify assets like signs and pavement markings from images.
This solution integrated data from various sources and leveraged GIS location mapping for precise spatial context. The proof of concept successfully demonstrated accurate asset identification, reducing manual effort and enhancing data accuracy. This paves the way for a full-scale implementation, enabling the DOT to improve roadway safety and efficiency through AI-driven asset management.
AI-powered roadway asset identification that consolidates diverse data sources and deploys AI-powered object detection and machine learning to automatically identify roadway assets—from signs and pavement markings to barrier walls and reflectors—using images and videos.
Automatically detects and identifies road signs, traffic stripes, guardrails, and other infrastructure using photos and video.
Provides a centralized inventory of road assets, including their location, condition, and maintenance status.
Integrates with GIS (Geographic Information Systems) to map detected infrastructure and track asset health across geographical areas.
Uses AI algorithms to predict when road signs or guardrails will need repairs or replacements, reducing downtime and emergency maintenance.
Built on Google Cloud’s AI and analytics platforms, ensuring high reliability, scalability, and compliance with security standards like NIST and FedRAMP.
— Forbes, AI And The Future Under A New U.S. Administration
Together, we help you realize the power of cloud, data, and AI to drive innovation, elevate citizen experiences, and empower state agencies to make smarter, faster decisions.
We understand the unique challenges and opportunities facing state agencies.
Shorten deployment timelines with pre-built data models, integrations, and workflow templates, so you see results faster.
From onboarding and deployment to training and ongoing support, we ensure your team has everything they need to succeed.
We prioritize the protection of sensitive data and ensure compliance with agency regulations.
