PCB assembly verification of smartphone boards

Component Placement Inspection using Deep Learning

Badly positioned, incorrect or bent components on a populated circuit board are difficult to detect with conventional image processing. Using Deep learning, classification and defect detection is much more reliable, even with a low even with a small amount of training data.

Tasks

Benefits

  • Inspection of the correct assembly of printed circuit boards
  • Independent of lighting conditions
  • Position determination
  • Reliable, robust measurement
  • Completeness check
  • Inspection possible despite metallic, reflective surface
  • Detection of faulty components
 

Technologies

Deep Learning  

 

Sectors

Automotive
Electronics
Cosmetics
Synthetics
Food & Beverages
Manufacturing
Medical
Pharma

 

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