Use case 04 · Image recognition & process monitoring
Efficiency: explaining downtime, disruptions and slowdowns (OEE)
“MES shows that a line stops or runs slowly, but not exactly why. Wrongly stacked crates, pallets in the way, an operator bypassing a fault, manual rework slowing the line — that stays out of sight, so we steer on assumptions.”
Who it is for
Production and packaging companies that steer on OEE and face repeated, poorly explained downtime or speed loss.
Solution
AI cameras recognise the patterns behind losses that MES does not record — wrongly stacked crates and pallets, machine bypass, manual rework, crossing flows. The insights enable targeted process, layout and workstation improvements; at the highest stage, AI outputs can help control line speed and changeover procedures.
Outcome
Richer, action-oriented root-cause analysis than MES alone; less and better explained downtime. Indicatively 10–20% higher line OEE on affected lines (a range, not a guarantee).
From practice
Worked out in a discussion paper: MES shows the effect, video shows the cause. Supply Today translates the visual cause analysis into concrete improvement actions on process, layout and behaviour.
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