Inkjet Print Verification on Bottle

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Customer

A big Cosmetics Manufacturing and Packaging company dealing in multi-variety productions

Project Details

  • Duration: 3 Months+

Technologies:

  • OCR
  • Machine Learning
  • PyTorch
  • NLP
  • Python
  • PyQt
  • PostgreSQL
problem-img

Problem

In one of the processes, a unique number is printed under the bottle using an inkjet printer.

  • Each print is manually verified at the end of the line.
  • The print is sometimes printed incorrectly (Half Printed, Not Printed)
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Solution

Deployed a Computer Vision based system with Industrial cameras fitted in a way that captures the bottom view.

  • The Camera captures the photo on the trigger of the sensor. The photo is sent to the processor.
  • The system performs OCR and provides results.
  • The System also cross-verifies the correct sequence by comparing the OCR result with the serial number received from the printer.

100%

Accuracy in false print detection

<1 Sec

time between OCR & real-time alerts

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