Plates and vehiclesDocuments and OCRComputer vision

Autolane ALPR

A recent set of plate recognition weights: two plate detectors and a reading model, trained on US plates, so the Russian format needs fine-tuning. Filming vehicles and people is personal data processing: agree the procedure with a lawyer.

Developer
Autolane, not disclosed
First release
Jan 2026
Latest release
Feb 2026
Sizes
RF-DETR and YOLOX-S detectors, CCT-S for character reading
License
Commercial use allowedApache 2.0
Russian
Not supported
Ready-made builds
8-bit
Running
On your own serverAlso runs without a GPU
Industries
Manufacturing and logistics, Security, Retail and marketplaces, Public sector

What it does

  • Finding the plate in a frame
  • Reading the plate characters
  • Running on cameras and single-board computers
  • Fine-tuning on your own set of plates

Where it is used

Parking lots and barriersWarehousing and logisticsSite security and checkpointsCar dealers and service centres

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
fits
1 GPUOne GPU with 16–80 GB — mid-size versions
no versions
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. CCT-S для чтения символов
  2. YOLOX-S для детекции пластины
  3. RF-DETR для детекции пластины

How to run it

On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems. Quantization compresses a model so it takes less video memory and runs on more modest hardware. Answers change slightly, so quality is checked on your own examples.

Frequently asked questions

Can Autolane ALPR be used in a commercial project?

Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does Autolane ALPR need?

At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does Autolane ALPR support Russian?

No. The developer documentation lists the supported languages and Russian is not among them.

Where can I download Autolane ALPR and what does it cost?

The Autolane ALPR weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.

How I deploy it for clients

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

Similar models

Source: huggingface.co/autolane/rfdetr-alpr. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.