Printing Inspection on Cosmetic Bottle

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Customer

A big Cosmetics Packaging company dealing in multi-variety productions.

Project Details

  • Duration: 2 Months

Technologies:

  • Machine Learning
  • OpenCV
  • FastAPI
  • MongoDB
problem-img

Problem

The printing appears flawless on empty bottles, but once the bottles are filled with fluid, bubbles & other, anomalies form under the print.

  • Need to QC again after the Filling of Fluid
  • Manual Process is prone to errors & hence customer dissatisfaction rates are high.
solution-img

Solution

Deployed a Computer Vision based system with Industrial cameras fitted on a Conveyor Belt.

  • We fitted Line Cameras and Area Cameras to capture the image correctly.
  • A Desktop system at the production line analyses the Bottle images in real-time and displays whether there is an anomaly or not.

99.5%

Accuracy

Occupancy management and beyond with a virtual replica

Printing

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