Deep Learning & AI for Food Product Inspection

Integro Technologies is actively adapting traditional and newer Deep Learning & AI vision related technologies for food product inspection from the field or prior to processing and packaging operations.

The location, identification, and classification of defects on zucchini,  cucumbers, and other produce, for example, can be inspected and sorted at production rates as illustrated in the video.  Inspection can be performed using color and/or multi-spectral imaging techniques to improve data availability for processing and classification.

Examples of food product inspection for foreign material & damage and/or sorted:

  • Grapes
  •  Nuts
  •  Flower petals
  •  Chicken
  •  Meat products
  •  Cucumbers
  •  Oranges

Examples of food product inspection of foreign material:

  • Latex gloves
  • Twigs
  • Rocks
  • Decaying material
  • Bruising-Damage
  • Discolored material


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View machine vision inspection systems from Integro here or on YouTube.

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