16.07.2024

Fat Determination

In the food industry, precise ingredient measurement is crucial. European regulations mandate accurate food labeling, and even small variations in fat content can significantly impact taste. Traditional methods for measuring ingredients are time-consuming and destructive, often taking hours or days to yield results.

  • In collaboration with KU Leuven, our innovative solution leverages machine learning-based regression with hyperspectral infrared imaging to predict fat and moisture concentrations in bakery products in real-time. This non-invasive, inline approach ensures consistent quality control without the delays and waste associated with conventional testing methods. Our technology promises to revolutionize ingredient measurement, allowing for the inspection of larger quantities quickly and efficiently.

    Experience the future of food quality control with our cutting-edge hyperspectral infrared imaging technology, developed in partnership with KU Leuven.

  • Would you like to know more about hyperspectral technologies?

    Contact us today to learn more about hyperspectral solutions in the production industry. You'll find our contact information just below.

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  • Machine
    vision

  • Software
    development

  • Artificial
    intelligence