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Use case 03 · Image recognition & process monitoring

Making waste and raw-material overuse visible

“At the end of the week we see that a line uses more raw material than the standard, but not where it leaks away. Product on the floor by the slicer, overfilled bags, wrong mixing ratios — the figures show that it happens, not where and when.”
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Who it is for
Food and process manufacturers with multi-stage processing (washing, cutting, mixing, packing) and sensitivity to raw-material costs.
Solution
Cameras make the leak points visible — product on the floor, overfilled bags, cutting loss, wrong mixing ratios. The difference lies in the feedback: the alert goes straight to the team leader, with the clip attached, so that action is taken during the shift. Usually that runs via a screen at the line or in the control room, or via the VAIBS app; with the open API the alert can also land in your own systems. An MES link for figures per shift or supplier can come later.
Outcome
Targeted, substantiated waste reduction instead of general measures, and a shift that sees for itself what adjusting delivers. Indicatively 30–60% less defective or wasted output on affected lines (a range, to be verified per case).
From practice
Worked out in a discussion paper at a fresh food producer, where the overuse turned out to stem from a limited number of concrete causes in specific shifts. Supply Today translates the observations into a business case in kilos and euros.
Other use cases in this pillar
01 Quality assurance in production and warehouse (IFS / HACCP / GMP) 02 Accelerated onboarding: new employees up to speed faster 04 Efficiency: explaining downtime, disruptions and slowdowns (OEE)
Is this your challenge?
In two to four workshops we jointly establish where the greatest value lies, which technology fits and which business case is realistic.
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