Case Study

Prominent Almond Plant Leverages AI at Packing Lines To Better Sort and Grade In Real-Time

The Challenge

A large almond plant wants to spec the almonds according to each customer’s requirement and price point, ranging from premium quality confectionery grade to regular USDA grading. Today the sorting machines do not have control over the grading they create, and the QC team can only inspect a 0.1% sample. The nature of this process means it cannot be done in real time to make adjustments to the sorting machine. This results in either leaving money on the table, or being exposed to the risks of over-specifying the grade.

The Solution

Borde stepped in to provide two side-by-side 32" systems at the end of the packing line, providing 100% inspection of all nuts. The data from this inspection provides real-time feedback on grading, and was integrated with the plant's custom 3rd party database, eliminating the need for manual data entry and allowing for custom grading requirements.
The Benefits
  • Confidence in meeting custom grading specs
  • Real-time feedback allows immediate sorter adjustments
  • Improved efficiency with automated database entry
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