Identifying metal coupon types with Visual Classification

The Challenge

A leading specialist in water treatment needs to build a mobile application to capture images of metal coupons planted in RO systems and detect their composition. Further identification of corrosion types per composition will be executed. Tatras has been given the responsibility to build a ML solution based on image understanding to automate the process which currently is manual and too much time consuming.

Hypothesis

  • Historical image data is available to use.
  • Image classifier to identify coupon types.
  • Clustering per coupon type to understand corrosion groups based on visuals only.
  • Assist human annotations with clustering.

Execution

  • Tensorflow- ML model for classification.
  • Fine tuning of pre trained model for better generalization.
  • Implemented as a flow in DataIku platform.
  • Jupyter-Notebooks
  • Slack: for team planning and project management.
  • JIRA- for project management and keeping track of progress.

Outcomes

  • Coupon types Identified.
  • Corrosion type identified.
  • Deployed as a flow in DataIku instance.
  • Suggestive actions against corrosion types.

Project Highlights

95%

Metal coupons Classified Correctly

7DAYS vs 5 MINUTES

AUTOMATED COUPON AND CORROSION RECOGNITION WITHOUT WAITING FOR LAB ANALYSIS AND REPORT