Edison, NJ - vialytics is expanding its AI-powered road management platform with a new feature that automatically detects damaged lane markings during routine pavement data collection. The capability helps municipalities identify where markings are significantly worn or faded, without conducting separate network surveys.
The new Damaged Lane Markings detection analyzes street imagery captured through vailytics’ standard collection assessment workflow. Using computer vision, the system flags locations where lane marketings show substantial visibility loss and surfaces those segments directly in the web platform for review and action.
From Detection to Action, in One Workflow
Within the vialytics web system, affected segments appear in a dedicated view where staff can filter, visually verify, and evaluate locations on an interactive map. The AI performs the initial screening, while municipal teams remain in control of decisions and prioritization.
From there, users can generate work orders for internal crews or contractors, enabling faster repainting cycles and clearer scopes of work.
Supporting Budget Decisions and Roadway Safety
By grading lane marking conditions using objective image data, the feature provides a defensible foundation for maintenance planning, both internally and when communicating with finance departments, leadership, or elected officials.
The result is a clearer understanding of network-wide need, helping agencies prioritize repainting programs, allocate funding more effectively, and improve roadway safety outcomes.
A partner municipality using vialytics reports significant efficiency gains from replacing manual windshield surveys and spreadsheet tracking with automated detection and digital workflows.
Expanding a Connected Approach in Infrastructure Management
With the introduction of AI-based lane marking damage detection, vialytics continues advancing its integrated approach to infrastructure management, connecting data collection, condition assessment, and maintenance execution within a single platform.
The feature builds on the system municipalities already use to manage roads, traffic assets, green infrastructure, and public space — enabling teams to move from insight to action without fragmented tools.
About vialytics
vialytics provides AI-powered pavement condition assessments that streamline road assessments, improve efficiency, and support long-term planning for public works agencies.
Trusted by more than 1,000 municipalities across seven countries, the platform uses computer vision and mobile data collection to help agencies understand infrastructure conditions and make confident, data-driven maintenance decisions.
