A.I-based Quality Assurance in Pharmaceutical Industry

 

Challenge

In order to simplify the effort of visual error detection in the productive pharmaceutical industry and to reduce error rates, elunic developed a system for automatic quality assurance with the help of deep learning algorithms.

 

Key Features

  • Automated defect detection in production lines.
  • Detection of micro anomalies which are not visible for humans.
  • Logical classification of defects.
  • Cross-customer evaluation and optimization.

 

Solutions & Services

  • Use of self-learning models for quality inspection and assurance.
  • High resolution industrial camera.
  • Object cleaning by an automated fan before taking a picture.

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    Benefits

    • Complete quality control in pharmaceutical production.

     

    Data

    • Image recognition
    • Position verification
    • Data reconciliation

     

    Technology

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