LED Screen Defect Inspection

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Customer

A global screen inspector and repair company.

Project Details

  • Duration: 5 Months

Technologies:

  • Tensorflow
  • Deep Learning
  • AI Vision
  • OpenCV
  • Python
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Problem

  • Manual inspectors fail to consistently detect micro-defects such as scratches, dead pixels, and discoloration.
  • Backlog in inspecting screens due to manual process.
  • Heavy loss due to Increased warranty claims and customer dissatisfaction due to undetected defects.
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Solution

  • We developed an AI-powered defect detection system. This system handles the high-resolution imaging captured from an industrial camera and receives it via Trigger signals.
  • It automatically detects surface damage and anomalies such as cracks, scratches, and dents in real-time and displays them in the output screen.
  • A centralized dashboard provides defect location, classification, and reports for quality audits and process optimization.

96%

Accuracy

75%

Reduction in time for Manual Verification

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

Screen Defect Inspection and beyond with a virtual replica

Bottle Exterior Defect Detection

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