Bottle Exterior Defect Detection

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Customer

A major Japanese multinational cosmetics and personal care company.

Project Details

  • Duration: 4 Months

Technologies:

  • AI Vision
  • OpenCV
  • MongoDB
  • RabbitMQ
  • Python
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Problem

  • Manual inspection struggles to detect fine exterior defects such as scratches, cracks, dents, and dirt.
  • Lack of consistent and data-driven quality monitoring across multiple factories.
  • High risk of defective bottles reaching customers, causing brand damage and increased product recalls.
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Solution

  • We developed an AI-powered vision inspection model to detect bottle exterior defects in real time.
  • High-resolution cameras integrated with edge AI to spot cracks, dents, scratches, and foreign particles.
  • The model ensures manual adjustment of thresholds for different defect types (e.g., scratches, Dents, Foreign Particles, etc.).
  • With the deployment of this solution, 10,000+ bottles per station are inspected on a daily basis.

97+%

Accuracy

150%

Increased efficiency in Inspection

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

Defect Detection and beyond with a virtual replica

Bottle Exterior Defect Detection

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