A coconut mik producing plant in Thailand paid farmers based on simple unit count as trucks were unloaded.
Counts were not accurate but more importantly, the size and grade of the coconut was not taken into consideration.
The objective was to accurately pay farmers for product delivered based on quantity, size and quality.
The iamge collection system was fairly simple but it was decided to use deep learning software to "grade" coconuts by size and defect category
The system was deployed into the production line. No operator intervention was required during normal operation.
The system did not require routine servicing other than daily cleaning of the cam​era lens.
The client achieved significant cost reductions in not having to deal with defectiv​e product. In addition, yields increased as farmers only brought high quality fruit to that facility.
To find out how Indyn can help with your particular application, just click the link below
discuss