Hyperspectral system for the detection of foreign bodies in meat products

Hyperspectral imaging is a powerful technique that combines information of spatial distribution and of the chemical composition. In this study a hyperspectral system has been used to asses the feasibility of this technology to detect defects and properties related to the composition of meat products. Foreign bodies were added to pork tenderloin samples, which were processed to obtain the corresponding hyperspectral datacubes. Multivariate analysis was applied to process the datasets and artificial images of each sample were created to display the results. The obtained results show the great potential of this technique that combines the advantages of traditional machine vision and spectroscopy.