Label Verification on the box

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Customer

An OEM with large-scale distribution that requires accurate label verification on boxes to ensure compliance.

Project Details

  • Duration: 3 Months

Technologies:

  • Deep Learning
  • AI Vision
  • OpenCV
  • Python
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Problem

  • Manual verification of labels is slow, inconsistent, and prone to errors.
  • Lack of automated reporting makes it difficult to trace labeling errors during Packaging.
  • Missing, misplaced, or duplicate labels cause supply chain disruptions, compliance risks, and customer dissatisfaction.
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Solution

  • We developed an AI-based vision system to detect the presence, position, and orientation of labels in real time.
  • The system verifies correct placement and flags missing or misplaced labels instantly.
  • A dashboard tracks label errors, generates compliance reports, and provides actionable insights for quality teams.

99%

Accuracy

Key Features

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Real-Time Monitoring

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Auto-Training Pipeline of New Productions

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Live Comparision: Actual Production vs Planned Production

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