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Ocean Optics customized spectral systems for optical food sorting can “see” inside foods, while machine learning algorithms are applied to provide the exact sorting answers you need.

Whether determining moisture content in dates, sugar level in oranges, or decay inside apples, Ocean Optics develops optical sensing solutions that are smarter, more accurate and more reliable than traditional vision systems alone.

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Why Optical Sensing?

  • See what’s both outside and inside the sample
  • Measure parameters include fat content, protein and moisture
  • Spot internal defects, spoilage and browning
  • Use machine learning to derive quality parameters from  large datasets

 

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What You Can Measure

  •  Acidity  • Bruising  • Browning
  •  Color  • Contaminants
  •  Fats and Oils (vegetables)
  •  Internal Defects • Moisture
  •  Protein • Ripeness • Sugar

Food Sorting and Grading: What We Offer

In addition to surface measurements including color and appearance, Ocean Optics spectral instruments can penetrate a peel, skin or shell non-destructively to measure what’s inside. Those measurements are combined with the appropriate algorithms to determine parameters such as bruising, ripeness, fat content, sugar, acid and moisture levels. Our team of optical sensing experts and machine learning specialists will help you create an optical sorting solution to meet your exact needs.

Food Sorting Solutions in Action

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Smarter, Faster Fruit Grading using Spectroscopy and Machine Learning

Challenge: Date fruit processors and sorting machine manufacturers demand accurate and robust optical sensing systems to quickly and reliably measure moisture within dates for proper grading and sorting.

Solution: With robust hardware, applied spectral knowledge and advanced machine learning from Ocean Optics, date fruit processors and sorting machine manufacturers have additional insights into sorting processes, which translate into happier customers and improved brand reputation.

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Reflectance Spectroscopy Ensures Quality in Apple Sorting

Challenge: Undetected browning, spots, blemishes and other flaws can affect fruit quality, damage brand reputation and result in lost business.

Solution: Optical sensing techniques including spectroscopy are among the tools available to fruit and vegetable producers to assess quality parameters such as internal and surface color, sugar content and acid level.

Ready to apply spectral knowledge to your project?