Misclassification at the booth
Manual or basic sensor-based classification misses axle counts and vehicle categories. Every error is lost revenue.
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Download againToll revenue leaks happen silently. A truck classified as an LCV. An extra axle missed. A disputed transaction with no evidence. Across thousands of daily transactions, even a 2% misclassification rate compounds into significant revenue loss.
Four failure modes that compound across every lane, every shift, and every plaza.
Manual or basic sensor-based classification misses axle counts and vehicle categories. Every error is lost revenue.
When a driver challenges the toll category, operators have no image proof to back the charge.
Multi-axle trucks retract axles to pay a lower toll. Without visual classification, this goes undetected.
India is moving toward multilane free flow tolling. Systems deployed today that are not MLFF-ready will need to be replaced.
Correct toll rate for every vehicle. AI classifies vehicles into 18+ categories. No more manual guesswork.
Evidence for every transaction. High-resolution day and night images tied to each vehicle passage. Disputes resolved with proof.
Fraud detection. Lifted axle and mismatched vehicle-class attempts flagged automatically.
MLFF-ready architecture. Lane ANPR and ATCC support booth tolling today, with an optional Global Shutter upgrade path for GNSS-based free flow.
Lane ANPR captures the plate and full vehicle image for every passage, day and night.
Plate read, vehicle type, make, model, and color profiled instantly.
AI counts axles and classifies into 18+ vehicle types for the correct toll rate.
Timestamped, lane-tagged image and classification data logged for audit.
Every transaction classified, logged, and auditable from booth to back office.
Speed and performance validated up to 230 kmph
Aligned with national highway monitoring and ATMS requirements
Bureau of Indian Standards certified
Profile S, T, M, G for interoperable integration
Independently certified for security assurance
Architecture ready for multilane free flow transition
Designed, engineered, and manufactured in India
The system classifies 18+ vehicle types including 2-wheelers, 3-wheelers, cars, LCVs, buses, mini LCVs, trucks (2-axle through 6+ axle), tractors, heavy construction machinery, and goods autos.
Yes. Lane ANPR captures clear plate and vehicle images in day and night conditions using IR-assisted imaging. Recon Global Shutter is optional for tolling and can be added where free-flow or high-speed capture needs it.
MLFF (Multi-Lane Free Flow) means vehicles pass through at highway speed without stopping at a booth. The default toll stack is Lane ANPR and ATCC. Recon Global Shutter can be added for GNSS-based free-flow use cases when those requirements apply.
No. Toll plazas are deployed with Lane ANPR by default. Recon Global Shutter can be used for tolling when needed, but it is not the default camera for booth and hybrid lane deployments.
Yes. The system offers SDK APIs, RTSP streaming, and cloud sync for integration with third-party toll management platforms.
ATCC uses visual AI classification rather than in-ground sensor loops, making it harder to defeat through axle retraction. The system also cross-references vehicle make/model against expected axle count.
NATRAX certifies radar-based speed detection up to 230 kmph. Plate recognition accuracy is 98% across all plate types in day and night conditions.
Evidence images are stored locally on the edge device and can sync to your central server or cloud storage for long-term retention.
Whether you operate a single plaza or a multi-state concession, we will help you pilot lane-level classification and scale with MLFF-ready infrastructure.