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From Images to Insights: How Zelloscope Works

Zelloscope transforms foam images into real-time insights you can act on.

Let us show you how

1. Segmentation reveals the cells 
 

After our inline or lab system captures an image of your foam, our AI model instantly segments every cell – calculating mean cell diameter and X/Y position. From just these three datapoints, you already gain deep structural insights.

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2. Histograms show the big picture
 

From the cell diameters, we create a histogram that quickly shows us a basic understanding of the cell structure. 

It’s a simple visual that shows how your foam production

is performing and how close you are to achieving the ideal surface.

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3. KPIs for deeper understanding
 

By looking at every individual cell position we don't only get an overview of the production process. When we dig deeper, we also learn a lot about critical quality indicators, including:

  • Coalescence index – early warning if cells are merging.

  • Skewness – a measure of uniformity across the surface.

  • Big cluster count – contiguous oversized cell regions. 

 

(More KPIs can be found HERE)

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4. Trendspotting for process control
 

One image is just a snapshot, and gaining insights about an individual cell doesn't really make a difference.

The real value is in the quantity and spotting shifts over time. With Zelloscope, you can stack histograms, compare batches, and detect subtle drifts before they become problems.

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5. Get alerted when quality slips!
 

Set your limits, and our system will notify you immediately if foam quality crosses them. Whether it’s a sudden uptick in pinholes or a shift in cell size, you’ll know before waste piles up.

6. A database that remembers
 

All measurements are stored in a central database. This creates a long-term archive for audits, supports statistical process control, and gives you a foundation for continuous improvement.

Useful KPIs

Here follows a list of useful KPIs that are easy to track when using Zelloscope. 

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