cim vision potrose grading

 

 

 

 

 

 

 

 

 

 

 

 

 

 

The Challange 

Developing a vision system for quality grading rose pot flowers.

Translating operators objective quality parameters into mathematical measureable units. 

 

The Solution

Using NI vision tools and LabVIEW software to build an image acquisition and analysis system for 360 degrees inspection of the flowers.

Based on 1.000 plants sorted by 7 operators.

 

7 quality parameters translated into vision algorithms:

  • Width
  • Height
  • Skewness
  • Top density
  • Symmetry
  • Number of flowers
  • Flower area

4 categories:

  • A
  • B
  • Back to greenhouse
  • Scrap