cranberries
Detecting plastic pieces and evaluating humidity using hyperspectral imaging to improve quality control of cranberries.
Industry
fruits
Solution
Beyond Safety
Plastic pieces in cranberry mass (HSI-RGB)
Goal
To detect plastics and asses humidity content for supporting sustainable production and reducing product incompatibility.
Methodologies Used
Hyperspectral imaging, Analytical chemistry, Chemometric techniques
Process
Acquire hyperspectral images of cranberry masses, then preprocess and segment the data to isolate features, followed by applying classification methods to detect plastic contaminants and assess humidity content. This rapid, non-destructive process enhances quality control by identifying foreign objects and ensuring product compatibility.
Plastic pieces (light red) in cranberry mass (PCA)
SVM classification on hyperspectral data of cranberries.
Conclusion
more work
cranberries
Foreign object detection
Beyond Safety
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Beyond Quality
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Beyond Quality
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