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Plate Recognizer Stream

Stream is a highly-accurate ALPR software that processes live camera or video feeds quickly & efficiently. Stream runs on-premise on a Windows, Linux, Mac or Jetson device.

  1. A Stream license is tied to the device specifications. If you change some hardware it will stop working.
  • We recommend that you uninstall Stream before you make any hardware changes.
  • In situations where you changed the hardware, please Contact Us to let us know. Please include the Stream License and also a screenshot of the error message.
  1. Making any edits to the config.ini would require you to restart Stream


1) Install Docker on your machine. See the system requirements and recommended hardware.

2) Install Stream, there are 2 options:

  1. Using the PR Installer (Intel x86 only). This is the preferred path if you are not as conversant with Docker.
  2. Using the Manual steps. This is the preferred path if you are conversant with Docker.
  • Use this method if your device is Raspberry Pi or a NVidia Jetson.

We recommend using the Plate Recognizer Installer.

We have created a special version of our Snapshot SDK for Thailand (understands Thai characters), Germany and Austria (identifies umlauts, space gaps), and specific hardware devices. These require Manual Installation Steps. Please see our list of Docker Images.

Start Stream


To update to a newer version of Stream, just run the following command then restart the container:

docker container stop stream
docker pull platerecognizer/alpr-stream:latest

You may also pick a specific version by using git tags. For example, platerecognizer/alpr-stream:jetson-1.28.1-r32.6.1.

Uninstall, Move

To uninstall Stream, just remove the image with the following Docker command:

docker image rm platerecognizer/alpr-stream

The license is still tied to the original device. Please contact us to remove the fingerprint after you uninstall Stream.

System Requirements

Stream runs on-premise on a Windows, Linux, Mac or Jetson device. The specifics of the machine depends on the number of cameras you need to process.

  • Check the recommended hardware for Stream.
  • Use an OS that supports Docker. See the installation guide for how to install on Windows, Mac or Linux.
    • If your system does not meet the requirements to run Docker Desktop, you can install Docker Toolbox.
  • Have an Intel CPU 3rd gen or higher (must support AVX instructions).
  • Use a recent Nvidia GPU with a minimum compute capability of 6.1 and can support minimum Cuda version of 9.0. Follow the above instruction on Docker installation and Nvidia-docker.
  • If you are using VMware, you should disable EVC.

    If you are behind a firewall you might also need to whitelist these IP addresses

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