CIVINTEL
ELEN
Contact

Cosmetics & detergents

Camera-based quality control on a bottling line

Automated inspection of bottle, cap and labels with two industrial cameras, and verification of carton and pallet barcodes against the production order in SAP.

AI & DataPilot in progress · 2026–2027CIVINTEL project

Live line dashboard showing two camera views of a bottle, counters, barcode verification and system status.
Interface screenshot
90
bottles per minute target throughput
2
industrial cameras per bottle
SAP
barcode verification against orders

The challenge

A manufacturer of cosmetics and household products wanted to catch packaging defects (missing or misplaced labels, caps, wrong products) at line speed, and to make sure every carton and pallet carries the right code for the order being produced.

Our approach

  1. Scoped the pilot with the owner, the technical director, the AI & digital optimisation lead and IT.
  2. Designed the capture setup with two industrial cameras and a labelling tool so operators can build the training set quickly.
  3. Training a deep-learning model (PyTorch, CUDA) for bottle, cap and label inspection.
  4. Integrated production context from the EVOCON API and SAP exports, plus carton and pallet barcode readers.

Results & features

  • Line and pallet screens show counters, defect rate, camera status and barcode checks in real time.
  • Alerts when defects exceed an agreed threshold.
  • Every decision is stored with its images for review; the operator keeps the final say.

Have a similar challenge?

Tell us what you want to solve and what data, drawings or documents you already have.