Automatic printed cricuit board (PCB) inspection

 

Challenges

Inspections to find faults in the production of printed circuit boards are still carried out manually by a worker on site.

In order to simplify this process and to reduce the amount of errors, elunic was commissioned to develop a system based on artificial intelligence that automatically detects errors.

 

Key Features

  • Anomaly detection and classification during circuit production.
  • Dashboard with a circuit board inspector and evaluation of results.

 

Solutions & Services

  • Implementation and roll-out of an A.I.-based Circuit Board Inspector.
  • Generation of image data to train machine learning algorithm.
  • Use of Automated Optical Inspection (AOI).

Mor information about the showcase

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Benefits

  • Automated inspection and defect detection in printed circuit board production.

 

Data

  • Image recognition
  • Position verification
  • Data reconciliation

 

Technology

  • AI.SEE
  • AWS IoT Core
  • AWS Kinesis
  • TensorFlow