ALPR Agent

Reads Every Plate.
Misses Nothing.

An intelligent, agentic licence plate recognition system — built for real-world deployments, not just demos. Upload an image, connect a live RTSP stream, or call the REST API. Instant reads, production-grade accuracy.

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AI Agent · vSecure Suite

vALPR Agent

Intelligent Licence Plate Recognition

vALPR Agent is not a simple OCR tool. It is an agentic recognition system — purpose-built for Indian licence plates. It detects, reads, validates, and reasons about plates across varied lighting conditions, angles, and road scenarios. From a single-lane gated entry to a multi-lane highway, it delivers consistent, structured results your systems can act on immediately.

What It Does

vALPR Agent combines a deep-learning vehicle detection engine with an OCR recognition layer and a validation module that cross-checks readings against Indian plate formats and state codes. The agentic layer manages confidence thresholds, triggers re-reads on low-confidence results, and returns structured JSON with the plate text, bounding box, confidence score, and alternate candidate readings. Every response is ready to plug into your access control, toll, parking, or fleet management system.

Use Cases

Gated community and apartment access control

Smart parking — automated entry, exit, and billing

Toll plaza automation and lane throughput analytics

Fleet management — vehicle in/out logging and reporting

Traffic enforcement and stolen vehicle alerts

Logistics — truck dock assignment and yard management

Key Capabilities

Built for Indian plates — all state codes, BH series, commercial and private formats

Handles low light, rain, motion blur, partial occlusion, and angled shots

Returns confidence score + alternate candidate readings per image

REST API — single endpoint, multipart/form-data, JSON response

Edge deployable — runs on Jetson Nano, x86 server, or cloud VM

Works with any existing IP camera via RTSP — no hardware changes

How It Works

Three steps from raw image to structured result.

1
Detect

Our AI detection engine locates every licence plate in the frame — single vehicle or crowded car park — with bounding box coordinates and detection confidence.

2
Read

The OCR engine reads the cropped plate. Multiple character segmentation passes handle dirty plates, faded paint, and non-standard fonts.

3
Validate & Respond

The agent cross-checks the reading against Indian plate patterns and state codes, ranks candidates by confidence, and returns a clean JSON response in milliseconds.

Performance at a Glance
Detection accuracy ≥ 95 %
Read accuracy (clean image) ≥ 98 %
Inference time (CPU) ~120 ms
Inference time (GPU) < 30 ms
Max image size 10 MB / 8K px
Input formats JPEG · PNG · WEBP · BMP
API Integration
# POST a vehicle image — get a plate reading back curl -X POST https://api.vivega.ai/api/detect \ -F "file=@car.jpg" # Response JSON { "plate": "TN01AB1234", "confidence": 0.97, "method": "detect+ocr", "bbox": [112, 204, 380, 258], "candidates": [...] }
REST API JSON Response Docker Ready Edge Deployable

Runs On

NVIDIA Jetson x86 / Cloud VM Raspberry Pi 5 Docker / K8s AWS / GCP / Azure

Ready to deploy ALPR?

Talk to us about deploying vALPR Agent for your site — gated entry, parking, toll, or fleet.

Request a Demo Talk to Our Team