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Industrial · Packaging

Packaging — AI for line-speed, vision QA and OEE

AI Autopilot coordinates multi-station packaging lines: inspection, fill level, seal integrity, cartoning, palletizing. Cuts micro-stops, predicts changeover drift, and delivers OEE gains measured in hours recovered per shift.

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Überblick

Packaging lines die from a thousand cuts. Micro-stops under 2 minutes rarely get logged properly, but add up to 20-30% of lost shift capacity. Inspection false-rejects waste good product; false-accepts generate customer complaints.

Every station talks to its own PLC and barely to the one next to it. When the cartoner slows, the filler does not know to back off — and cans jam.

BrainiAll AI Autopilot sits above the PLCs as a coordination layer. It balances station speeds, tunes vision-inspection thresholds per batch, and predicts changeover drift so jig adjustments happen before scrap is made.

+5-12ppOEE uplift (availability × performance)
↓ stopsMicro-stops per shift
-20-40%Changeover time
↓False-reject rate

Was Autopilot tut

Kontinuierliche, multivariable Regelung – kein Single-Loop-PID. Die Advisory-Layer-Architektur lässt die Sicherheitsebene unberührt.

Micro-stop reduction

Detects and classifies sub-2-min stops that operators usually never log.

Station-speed coordination

Balances filler / capper / labeler / cartoner so none starves or overflows.

Vision-QA tuning

Per-batch thresholds cut false rejects without lifting false accepts.

Changeover acceleration

Learns ideal jig positions per SKU — changeover time drops across shifts.

OEE analytics

Shift-level and SKU-level OEE reports with root cause broken down.

Kontinuierlich angepasste Variablen

Die KI liest jeden Sensor im Stromkreis und berechnet die optimale Sollwertkombination in Echtzeit.

  • Line speed per stationBalanced to upstream/downstream.
  • Vision-inspection thresholdPer SKU / batch.
  • Seal temperature / dwellSeal integrity.
  • Fill level / net weightGive-away control.
  • Changeover jig positionLearned per SKU.
Business Case

A high-volume beverage line losing 4 hours/day of availability at 60,000 units/hour is leaving 240,000 units on the table daily. Recovering just 2 of those hours through AI-led line coordination is worth millions per year in a mid-sized plant.

Lässt sich in Ihre bestehenden Steuerungssysteme integrieren

KronesSidelBosch PackagingTetra PakCognexKeyenceRockwellSiemens

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