Tracking vehicles manually for tolling, enforcement, or security remains tedious and error-prone.
Human operators must review blurry frames, cross-check numbers, and manually flag
suspicious vehicles — an impossible task at scale.
Common issues include:
- Low recognition rates in low-light or high-speed conditions
- Inconsistent plate formats across regions
- Missed detections due to occlusion, mud, or glare
- Delayed notifications for stolen or blacklisted vehicles
These limitations compromise enforcement efficiency, toll accuracy, and public safety monitoring.
NAYAN’s Automatic Number Plate Recognition (ANPR) module uses deep-learning OCR and spatial-tracking pipelines optimized for Indian plate formats and multilingual scripts.
Key features include:
- High-speed recognition of vehicles up to 180 km/h
- Multi-frame tracking for partially obscured or angled plates
- Day/night adaptability with infrared optimization
- On-premise + cloud database sync for hot-list or toll validation
- Secure data encryption and privacy compliance (GDPR-aligned)
Captured plates are instantly cross-checked with registered databases (RTO, enforcement servers, or customer back-ends).
The system supports real-time alerts for stolen vehicles, toll violators, and route analytics dashboards showing traffic density by time and direction.
APIs allow seamless integration into existing ITS, e-challan, or Smart City platforms.
Enterprise ready deployments
Percentage Coverage of Cities increase from 0.1% Due to CCTV’s to 50% Due to AI Dashcams
Washington
California
Huntington
The system is optimised for speeds up to ~180 km/h — making it suitable for highway, expressway and high-speed enforcement scenarios.
Using multi-frame tracking and deep-learning OCR, the system captures multiple frames per vehicle, corrects for skew/angle, and accumulates recognition confidence even if some frames are blurred or occluded.
Yes — the model is trained and adapted specifically for Indian registration plate formats and may be customised for multilingual scripts or regional variants.
Absolutely — it offers APIs and supports on-premise or cloud configurations, making it easy to plug into existing ITS networks, e-challan workflows, toll-gate systems, and enforcement databases.
Upon match, the system instantly triggers an alert (typically <1 second latency) and logs the event with video/image evidence, timestamp, location and plate details — ready for further action (e.g., interception, fine issuance, or notification).
The system supports throughput of 100+ plates per second and maintains recognition latency below ~300 ms per vehicle, enabling real-time enforcement across high-traffic corridors.
Deployments can be fully on-premise (for data sensitive sites) or hybrid/cloud-connected. All captured data is encrypted, and infrastructure is designed for tamper-proof logging and audit compliance.
The system has documented plate-recognition accuracy of over 98% under deployment-tested scenarios, with additional fall-backs via multi-frame capture and quality checks to maintain performance in challenging lighting, speed or occlusion conditions.