Label Inspection In FMCG Products – Case Study

FMCG label inspection -Vision Sensor - AI

The client is among the largest FMCG companies around the world with a customer base of more than 2 billion USD. Having such a large customer base, the client is committed to constantly improving the quality standards to enhance users’ experience with their products.

Problems Faced By Our Client :

  • 30 percent of total labels produced (at 145 per minute) had read rate errors in MRP and batch numbers.
  • Approximately 10 percent of defective labels (like misprints, overlapped characters) are falsely accepted during the manual inspection.
  • Their machine vision systems were using a rule-based programmed technology, due to which any slight variations in defects remained uncaught.

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