8000 GitHub - Sripaad/visual_tire_inspection: Automation of tire inspection in manufacturing side. Using computer vision techniques to make it more robust.
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Automation of tire inspection in manufacturing side. Using computer vision techniques to make it more robust.

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Sripaad/visual_tire_inspection

 
 

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Visual Tire Inspection

About the project

This involves using computer vision techniques for finding the defect that is present in the tyre while manufacturing of tires. The project was done for Bridgestone with a specfication sheet. The specification sheet has been attached in this repository

Solved Defects

  1. Ink.
  2. Seperations.
  3. Scorch
  4. TWI
  5. Wobbling

Using Computer Vision Techniques, we eliminate the need fore database and work on some few imges and make the inspection done.

Web Application can be done to make it as a whole project. The application for these 5 defects are done using Django

Python Packages used

  1. OpenCV
  2. NumPy

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Automation of tire inspection in manufacturing side. Using computer vision techniques to make it more robust.

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  • Jupyter Notebook 47.9%
  • Python 44.0%
  • HTML 6.5%
  • Other 1.6%
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