Intertraff ANPR / LPR Engine SDK
ANPR / LPR Engine SDK

License Plate Recognition Software

Add automatic number plate recognition to your own application. Send an image, get back the plate, and the vehicle make and model, in a clean JSON or XML response, via cloud API or on-device edge SDK.

5 regionsGlobal coverage
4 alphabetsLatin · Arabic · Cyrillic · Thai
ms-levelRecognition latency
CLOUD + EDGETwo deployment modes
REST APIDeveloper-friendly
2-ROWPlate reading
JSON / XMLStructured output
CPU · GPU · HAILO-8Intel · NVIDIA · Hailo
WIN 10 / 11Operating system
How it works

From raw frame to structured plate data

Your camera supplies the image; our engine handles the rest. Each step is tuned by AI models trained on millions of plates, so integration stays simple while accuracy stays high.

1 · Capture

Feed images or video clips from your cameras straight into the SDK for processing, locally or via the cloud API.

2 · Localise

Vision algorithms isolate the exact plate rectangle, filtering out the rest of the scene before recognition begins.

3 · Enhance

Brightness, contrast and plate angle are corrected, blurred text is sharpened and glare removed to maximise readability.

4 · Recognise

AI breaks the plate into individual characters, converts them into machine-readable text, and reports the country of origin.

5 · Validate

Region-specific logic checks plate attributes, cutting false readings and lifting overall accuracy.

6 · Return

Results arrive in a structured, developer-friendly JSON or XML format, ready to drop into your application.

Built for developers

Connect, send, receive: in any language

A RESTful API and sample code in C++, C#, JavaScript and Python mean a working integration in hours, not weeks. Use your personal API key to send images to our servers and get recognition results in real time, no dedicated board, no complex setup.

RESTful API

A clean HTTP interface with samples and integration guides in popular languages for fast, predictable onboarding.

Software-protected licence

Licensing is handled in software, no hardware dongle and no dedicated board to install.

Personalised & 2-row plates

Reads two-row plates, may recognise personalised plates, and identifies the country and/or region, without relying on predefined syntax.

Camera support out of the box

Works with Basler, Daheng, FLIR and IDS Imaging industrial cameras, plus network cameras via RTSP.

Why the Intertraff engine

Accurate, adaptable, ready to deploy anywhere

Trained on millions of plates and hardware-accelerated on the GPU, the engine combines wide regional coverage with real-time performance, wherever and however you run it.

Multi-region

Five geographical areas: Europe, North America, South America, the Middle East, Africa and the Asia-Pacific (APAC).

Multi-alphabet

Reads Latin, Arabic, Cyrillic and Thai scripts, with country and/or region identification on every read.

Cloud & edge

Run recognition on our servers via the API, or process images on a locally connected device with the edge SDK.

Hardware acceleration

Leverages the GPU for millisecond-level processing across Intel CPU/GPU, NVIDIA GPU and Hailo-8.

Where it fits

From the barrier to the smart city

One engine, many deployments. Drop it into the systems you already build to add reliable, real-time plate intelligence.

Parking & access control

Grant or restrict entry by plate, log vehicle details automatically and generate parking invoices without manual checks.

Traffic enforcement

Catch red-light and over-speeding vehicles, and check plates against police or watch-list databases in real time.

Smart city & surveillance

Power automated parking payments, cashless tolling and congestion-zone pricing to keep cities moving.

Tolling & transportation

Cut queues at toll plazas with electronic toll collection and live, area-wide traffic insight.

Pair with VMM

Combine plate reads with our Vehicle Make & Model engine for richer vehicle identity in a single workflow.

Test before you build

Upload an image and try recognition instantly online, then integrate the SDK into your own application.

Contact Us Here


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