WEBVTT - generated by wenglor-media

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In this tutorial, we will look at how to upload
images

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from uniVision 3 to AI Lab using weHub.

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We start in AI Lab.

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On the Landing page, create a new dataset —

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let’s name this one “QA”.

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Once it is created, open the dataset

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and click the “Copy” icon

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to copy its Dataset ID to your clipboard.

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Next, make sure that your camera,

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weHub and the AI Lab are all connected.

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Now open uniVision 3.

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In the project tree,

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add the “Module Image AI” into your project

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and link your input image.

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In the field “AI Lab Dataset ID”,

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paste the ID you just copied from AI Lab.

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Then enable “Upload to weHub.”

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Here, you can customize how images are uploaded.

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Add up to four tags to each image —

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for example, “OK” for good images.

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Under “Upload Policy”,

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choose whether to upload a fixed number of
images,

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for example 15, or set it to “Unlimited”.

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The “Upload Filter” lets you define

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which images should be sent.

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To start the upload, change the “Trigger
Mode”

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from “Software Trigger” to “Off”.

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Now, images will be uploaded to AI Lab automatically,

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at the acquisition frequency set for the camera.

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Once your 15 images have been uploaded,

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the process stops automatically —

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unless you reset the counter, raise the limit

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or switch the upload policy to “Unlimited”.

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And that’s it —

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your images are now successfully uploaded

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from uniVision 3 to AI Lab via weHub!

