wenglor sensoric - AI Lab - How do I manually deploy AI models in uniVision 3?

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  • uploaded December 5, 2025

In this tutorial, a finished AI model is loaded into uniVision 3.

More information on: https://www.wenglor.com/s/Highlights+AI+Lab

Transcription

In this tutorial, you'll learn how to download AI Lab models manually and use them in uniVision 3 without connecting through weHub.


Start by opening your dataset in AI Lab and navigate to the All Models section. Select the model you want to use and click the Download Model icon. The model file will be saved directly to your computer.


Next, open uniVision 3 and add the Image AI module to your project. Connect the module to your Input Image, then upload the downloaded model file from your local folder.


Since the model is loaded locally, there is no need to enter an AI Lab Dataset ID. The model connects directly to the Image AI module, allowing you to start working immediately.


Once the upload is complete, you'll see a preview of the model, and you can begin classifying images right away using the AI capabilities in uniVision 3.


That's it! Your AI Lab model is now running locally in uniVision 3, enabling fast and efficient AI-powered image classification without requiring a weHub connection.