AI agent that detects, reads, and tracks vehicle number plates
powering enforcement, tolling, parking, and access control at scale.
Manual monitoring is impractical at scale. Violations
go undetected, enforcement is inconsistent.
Thousands of cameras generate continuous video, but extracting vehicle-level intelligence manually is impractical.
Without reliable vehicle identification, enforcement is slow and inconsistent. Violators evade accountability.
Enforcement, tolling, parking, and security systems operate independently. Unified vehicle intelligence is unavailable.
RoadVision AI makes vehicle identity machine-readable at scale with privacy-first edge deployment.
Watch the AI pipeline process your camera feeds autonomously.
Runs on IP camera NVR or edge server. Real-time, offline capable.
Centralized analytics and cross-location vehicle tracking.
Edge for real-time + cloud for analytics and pattern detection.
Identify violators, submit e-challans with evidence
Vehicle verification, fraud detection, audit trails
Automated entry/exit, overstay detection
City-wide vehicle visibility, watchlist monitoring
Your data is portable. Your system is future-proof.
Your data remains yours. Fully exportable. Edge deployment option for zero cloud data transfer.
Automated violation detection for faster enforcement and higher compliance.
Unified vehicle intelligence for security, incident response, urban planning.
Vehicle verification and fraud detection for transparent operations.
Automated access and monitoring for reduced leakage.
No. Works with existing ONVIF/RTSP cameras. No hardware changes required.
Yes. Fully edge-deployable on camera NVR or local edge server. Real-time processing, offline capability.
Accuracy exceeds 95%. Confidence scoring indicates reading reliability. Evidence-grade for enforcement.
Yes. Time-stamped, geo-tagged snapshots and video are admissible as evidence for e-challan and toll workflows.