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Cognex Deep Learning Studio Common Issue Troubleshooting Guide

The general guide of how to solve VisionPro Deep Learning Studio issues.

29/10/2025

Details

Troubleshooting guide to crash, freeze and other issues when using Cognex Deep Learning Studio.

  1. Check PC Operating System
    Refer to the help documentation to confirm whether the current operating system version is supported. Windows 10 version 1809 may cause software issue; if you are using this version, it is recommended to update to version 22H2 or later.
  2. Check PC Environment Variables
    1. Ensure that the bin directory of the software version you are using is at the top of the Path variable.

      Cognex Deep Learning Studio Common Issue Troubleshooting Guide_Image-1
    2. Ensure that the environment variables include the corresponding version's VPDL_BIN and VPDL_ROOT variables

      Cognex Deep Learning Studio Common Issue Troubleshooting Guide_Image-2
    3. Check GPU driver and Settings
      Refer to the help documentation to confirm the GPU and its driver version compatibility. If the driver version is higher than 546.01, you need to disable the Sysmem Fallback setting in the NVIDIA Control Center .

      Cognex Deep Learning Studio Common Issue Troubleshooting Guide_Image-3
      Cognex Deep Learning Studio Common Issue Troubleshooting Guide_Image-32
    4. Dongle License Bit and firmware
      1. Confirm whether the dongle includes the license bits for the tools used. For VisionPro Deep Learning 3.0 and later versions, the bits in the red box of the following screenshot are required.

        Cognex Deep Learning Studio Common Issue Troubleshooting Guide_Image-4
      2. Update the firmware of dongle to latest

        Cognex Deep Learning Studio Common Issue Troubleshooting Guide_Image-5
    5. Codemeter Version
      If the computer's operating system version is Windows 11, 24H2, please uninstall the current Codemeter Runtime software and  install version 8.20a or higher. Download link: CodeMeter Runtime - Wibu-Systems.
    6. PC RAM Size
      Ensure that the current used computer's RAM size meets the minimum requirements:

      Training PC: 64G or larger

      Deployment PC: 32G or larger

    7. Workspace File Corrupted
      If the above issues have been checked and there are no problems, and the workspace crashes or exits unexpectedly when exporting, it is highly likely that the workspace file is already corrupted. This issue often occurs when importing the workspace by copying folders. If you need to back up or migrate the model, it is recommended to use the import/export function instead of directly copying folders.

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