Characterization of food materials by optomagnetic fingerprinting

This invention describes a system that checks food quality by shining specific types of light onto food and capturing images. It uses diffuse white light and reflected white polarized light to create a unique "opto-magnetic fingerprint" of the food. By comparing this fingerprint to a database of known food states or to the food's own fingerprint over time, it can detect things like pesticide residues, confirm organic labels, or determine freshness.

Why it matters: Filed before widespread adoption of advanced machine learning for image analysis. Modern AI could significantly enhance the accuracy and speed of generating and comparing opto-magnetic fingerprints from diffuse and polarized light images, making the system more practical.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedCustom optics, polarized light source, image processing software.

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