BBraun

BBraun

BBraun

Pharma

Pharma

Pharma

Automatic inspection of ampoules

Automatic inspection of ampoules

Development of AI models and necessary infrastructure to enable fast and precise quality testing of medical ampoules across different defect types.

Development of AI models and necessary infrastructure to enable fast and precise quality testing of medical ampoules across different defect types.

< 1%

False rejection

18+

tested defect classes

15.000 p/h

inspection speed

Photo of Hamza as a music producer
Photo of Hamza as a music producer
Photo of Hamza as a music producer

Customer's Problem

Defect detection in production is currently done manually at two points on the production line and requires highly skilled specialists. This leads to high scrap rates, long inspection times and limited scalability. In addition, there is no efficient way to continuously improve quality assurance. To increase productivity and reduce error rates, an automated, learning solution was required that enables more precise and faster inspection.

Our solution

We have developed an AI-based inspection solution that extends the existing inspection machine with a powerful ML infrastructure. Using a specially developed interface, image data is captured, annotated and processed in an MLOps environment so that the models can be continuously optimized and expanded to include new types of defects. Customer specialists can directly participate in improving the AI ​​by annotating data and specifically retraining models. This enables highly precise defect detection with a low error rate, while at the same time accelerating the inspection process and reducing scrap.

Photo of Hamza as a music producer
Photo of Hamza as a music producer
Photo of Hamza as a music producer

Start your journey into the future with us now.

Start your journey into the future with us now.

Start your journey into the future with us now.