Image Processing - Case Studies
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.
- 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%
The Application automatically identified the number of peas and the different quality of peas.