Red Bank Uses AI Road Scanner to Speed Inspections and Prioritize Repairs
Red Bank, New Jersey has mapped more than 36 miles of roads and identified hundreds of infrastructure assets using an AI-driven inspection system since 2023. The Vialytics platform, which mounts on vehicle windshields, captures roadway conditions in real time and flags defects that traditional visual inspections miss.
Director of Public Utilities Terrence Walton said the system has identified "a significant number of roadway issues" including early-stage cracking, minor potholes, and surface deterioration that would have gone unnoticed.
How the System Works
An operator places the device-roughly the size of a large phone-on a vehicle dashboard and drives the target roadway. Data uploads automatically and exports into spreadsheets for analysis and long-term record-keeping.
The speed advantage is substantial. Road assessments now take a fraction of the time required for manual inspections, which typically involved walking or slowly driving streets to document conditions by hand.
From Data to Decisions
The system assigns a condition score to each roadway and recommends treatment types: pothole patching, crack sealing, surface renewal, or full reconstruction. It includes cost estimates based on national average pricing, helping Red Bank calculate repair budgets more accurately.
Walton said the borough uses this data to coordinate with its engineer on future road programs and to strengthen grant applications. Recently, crews dispatched to Chapin Avenue repaired large cracks and potholes identified through the system.
The platform also tracks assets beyond roads. Red Bank has cataloged generators, vehicles, and an inventory of all shade trees in the borough-data now built into maintenance schedules.
Measuring Success
The borough will evaluate contract renewal based on three benchmarks: reduction in inspection time, total miles mapped (to show coverage progress), and accuracy of condition assessments over time.
For managers overseeing infrastructure or fleet operations, the system demonstrates how data analysis tools can compress inspection cycles and inform capital planning. The AI Learning Path for Operations Managers covers similar optimization approaches across different sectors.
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