See every pothole, missing sign, and broken signal — before your citizens report them
The same camera network that enforces traffic rules also maps the condition of the road itself, continuously.
The Problem
- Cities inspect road infrastructure manually and reactively.
- Defects are found after the fact, not caught before they occur.
- Maintenance budget is allocated without data on where it's actually needed.
The Solution
Problem zones
Identification of problem zones across the network.
Lane markings
Lane-marking defect detection.
Signage
Missing or damaged signage detection.
Traffic signals
Non-functioning traffic light detection.
Network mapping
Road network digitization and mapping.
Road condition intelligence
Infrastructure issues become mapped, prioritized work
Computer vision turns repeated route passes into a living view of road defects, severity, and maintenance hotspots.
Continuous mapping
Every route pass refreshes visibility instead of waiting for manual inspection cycles.
Evidence attached
Defects can be reviewed with location, severity, and image context.
Budget prioritization
Teams can focus maintenance where risk and impact are highest.
Output: a dashboard and heat-map for city road-maintenance departments — maintenance prioritized by data, not by complaint volume.
Bundled by default, standalone where needed
Primary path: bundled with BusAI — zero additional hardware, same buses, same data stream, added analytics layer. Secondary path: standalone deployment on dedicated vehicles, as a separate hardware and pricing discussion.
Potential Impact
Every route
Mapped on every pass, vs. periodic manual inspection cycles
$0
Additional hardware cost when bundled with BusAI
5
Defect categories monitored per pass: problem zones, marking, signage, signals, network digitization
Add road condition data to your BusAI deployment
Bundle Road Analytics with BusAI at no additional hardware cost, or request a standalone demo.