Optical equipment and components for the food industry

Hyperspectral measurements for the food industry

While the size, shape, color and surface texture of food can be easily measured by conventional industrial vision systems, the prediction of many other parameters, such as fat, sugar and moisture content, protein, material homogeneity or materials hazardous to the consumer can all be detected quickly and simultaneously by hyperspectral imaging systems.

Implementing hyperspectral imaging in food production systems also enables precise sorting at high speed. The spectral signature (similar to a human “fingerprint”) of the material, combined with spatial information, enables precise identification of inferior products, contamination, the presence of foreign bodies, as well as defects by color, shape and size.

Our partner ClydeHSI has developed advanced machine-learning and classification algorithms, integrated with their SpectraSENS software, which can then be used to implement discrimination methods for production lines. The results can be applied in real time to different sorting systems.

Discover the different ranges of ClydeHSI hyperspectral cameras.