Computer Vision based Quality Control

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Computer Vision based Quality Control

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Technology Details:

  • Open CV based computer vision algorithms for Line Detection
    • Contour based Algorithm using OpenCV
  • Sentech industrial camera
  • Custom Mount and Housing Design for Camera and Lighting
  • QT based GUI for Resistor QA Measurement

Features Highlights:

  • Real Time Inspection of 3200/4000/7000 resistor pieces / hour on live QA line.
  • Line Location detection based on designed ‘Point in a Rectangle Algorithm’
  • External Digital trigger for Camera Input
  • QA inspection parameters like
    • Pitch of the resister leads.
    • Height of resister Left/Right Leads
    • Height of Resister
    • Width of Resister
    • Measure curve radius of bend portion
    • Measure angle of left/right leads
  • Statistics of QA results – Rejection ratio, Fault type, Fault Data Logging and Reports etc.
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