Artificial Intelligence - Machine Vision

Image Processing - Case Studies

Artificial-Intelligence-Machine-Vision

Background:

Grain and pulse distribution relies on manual grading of shipments. The grading process is time consuming and it must be performed by a grading expert.

Key Features:

  • Number of peas and lentils in the images
  • Classification of the various kinds of lentils and peas
  • List of classes (bleached, damaged, wrinkled, foreign, etc.)
  • Technologies used - machine vision and machine learning
  • Accuracy - 95%

Result

The Application automatically identified the number of peas and the different quality of peas.