From potholes to illegal parking, AI dashcams will soon watch everything on India's 40,000-km highways

India’s highways may soon start “seeing” problems before drivers do. The National Highways Authority of India (NHAI) is reportedly preparing to roll out AI-powered dashcam systems across nearly 40,000 km of roads, marking a shift from reactive maintenance to continuous, data-led monitoring.

The new system is designed to spot trouble early. According to reports, specially equipped Route Patrol Vehicles will travel along major highway stretches every week, capturing high-definition video and images.

AI models analyse this footage automatically, scanning for more than 30 types of defects and irregularities. The idea is simple—less manual inspection, faster detection, and fewer surprises on the road.


From potholes to patterns
A key focus is road surface health. The system is expected to identify potholes, cracks, and rutting as they begin to form, not after they’ve already become hazards. Early detection could help authorities fix issues before they escalate, potentially lowering maintenance costs and improving overall safety. By comparing data over time, officials also may be able to track how roads deteriorate—and how effective repairs actually are.

Besides, the Route Patrol Vehicles will observe lane markings, crash barriers, streetlights, and road signs. Encroachments and unsafe practices will also on the radar. Illegal median openings, unauthorised signage, and even roadside parking could be flagged automatically, making enforcement more consistent.

Each highway stretch is also expected to undergo at least one night survey every month. That’s where things often slip through the cracks—literally and visually.

Reflective markings, road studs, and lighting conditions look very different after dark. Capturing this data could help identify risks that daytime inspections tend to miss, especially for night-time drivers.

Turning data into decisions
NHAI reportedly plans to divide the country into five monitoring zones, each supported by dedicated IT systems.

The data collected will feed into a central “Data Lake,” where AI-driven insights can be visualised through dashboards. For officials, this means being able to compare road conditions, monitor repairs, and prioritise action—all from a single interface.