Double Stamp Fault Detection on Steel Plate

csdetb-icono

Customer

One of the Top 5 Steel Manufacturing Company in Japan.

Project Details

  • Duration: 4 Months+

Technologies:

  • OCR
  • Machine Learning
  • Python
  • PyQt
  • MongoDb
  • Kafka
problem-img

Problem

This 24X7 running company has assigned persons to verify the engraving on the Steel Plate by the Machine.

  • Double Stamping of characters makes it hard to interpret
  • Manual verification of “To be Printed” Vs “Actually Printed”
solution-img

Solution

We have designed a Desktop Application that perform the OCR (Optimal Character Recognition) on the images.

  • High-end Industrial Camera captures the images and sends them to the Edge Processing Device for OCR.
  • The Application compares the OCR results with the correct sequence of the Characters Received separately from the PLC.
  • The Comparision Result is displayed on a screen attached to the Edge Device.

100%

Accuracy

Occupancy management and beyond with a virtual replica

Double Stamp

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