NAVA Vision AI: Automatic Number Plate Recognition (ANPR) Zero-Cost PoC

The NAVA Vision AI: Automatic Number Plate Recognition (ANPR) Professional Service enables organizations across manufacturing, industrial plants, construction sites, retail distribution, logistics hubs, ports, intermodal terminals, and oil & gas facilities, to automatically identify vehicles using real-time computer vision and AI.

This service uses a combination of technologies including, but not limited to OpenCV, YOLO, Kinesis Video Streams, SageMaker, Rekognition, Lambda, and API Gateway to process and recognize license plates using your existing CCTV/IP camera infrastructure.

NAVA Vision AI’s ANPR solution streamlines gate operations, eliminates manual entry logging, enhances security, and integrates with your existing ERP, yard management, gate management, access control, security, or plant operations systems.

Optional edge processing using NVIDIA Jetson or GPU-enabled gateways enables low-latency inference when network connectivity is limited.

• Works with existing CCTV/IP cameras (no new hardware, if cloud)
• Secure, scalable architecture built on AWS services
• Configurable alerts and event-based notifications
• Multi-language and multi-region plate support

Discovery & Requirements Workshop

• Assess camera feeds, site layout, vehicle flow, plate formats, and integration needs

Data Pipeline Setup

• Configure Kinesis Video Streams, S3, and Lambda for image/video ingestion

ANPR Model Development & Optimization

• Train and/or fine-tune detection + OCR models for relevant plate formats

Deployment Options

• Cloud-based inference via Rekognition/SageMaker endpoints
• Edge inference via NVIDIA Jetson / GPU gateways

System Integration

• API integration with gate control, access systems, ERP/WMS/YMS/TMS/TOS, or industrial systems

Dashboards & Event Logs

• Dashboards for entry logs, match accuracy, and vehicle history

Testing & Validation

• Performance benchmarking, accuracy tuning, and load testing

Handover & Knowledge Transfer

• Documentation, training sessions, and operational playbooks

• Configured and deployed ANPR pipeline
• Fully customizable functional cloud or edge inference setup
• API integrations with customer systems
• Dashboards or event logs for monitoring
• Test reports and accuracy benchmarks
• Deployment documentation
• Knowledge-transfer workshop

• Provide access to camera feeds or sample footage
• Access to AWS account or ability to provision resources
• Provide integration details for ERP/WMS/YMS/TMS/TOS (if applicable)
• Network access for camera → AWS or camera → edge gateway