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Download and activation instruction

The file based licenses are bounded with Computer-ID. Below you will find a step by step instruction on how to handle that type of license. Please note that the following description applies also to the Deep Learning Add-On in case it has been purchased separately and/or you have received a separate license. For more information please refer to the bottom part of that page.

The steps are as follows:

  1. Download Adaptive Vision Studio.

    You will find a direct link to the installation file, related to your license, in the User Area. When you select an appropriate license you will see a window like below: The installation files are available on the right side in the "Resources" section.

    Another option to download the software is to follow this link and select the appropriate version.

  2. Now you have to install the software. Detailed instruction how to do that you will find here.

    After the installation, in the first run of Adaptive Vision Studio, the License Manager should show up. In the middle part of the window you will find the computer ID. Here highlighted with red frame.

  3. Copy the computer ID and paste it into proper field in the User Area. Then press the "Save" button.

  4. Your license key should be available to download on the right side, in the "Resources" section. Click on it for download.

  5. Now go to your License Manager window, click "Load license..." button and choose your downloaded key.

  6. After the key was accepted, click "Start" button to launch Adaptive Vision Studio.


For Deep Learning Add-On you have to use the same computer ID as for Adaptive Vision Studio. The steps are very similar with one difference at the beginning:

  1. Open the License Manager and copy the computer ID. In the Adaptive Vision Studio it is available in "Help" menu.

  2. Assign the computer ID to appropriate license in the User Area.
  3. Download "License Key" and load it into License Manager available in Adaptive Vision Studio.

After that steps you will be able to run and utilize the Deep Learning Add-On.