Abstract: Devices, systems and methods for sorting and labelling food products are provided. Respective spectra of food products for a plurality of segments of a line are received at a controller from at least one line-scan dispersive spectrometer configured to acquire respective spectra of the food products for the plurality of segments of the line. The controller applies one or more machine learning algorithms to the respective spectra to classify the plurality of segments according to at least one of one or more food parameters. The controller controls one or more of a sorting device and a labelling device according to classifying the plurality of segments to cause the food products to be one or more of sorted and labelled according to the at least one of the one or more food parameters.

Abstract: Devices, systems and methods for sorting and labeling food products are provided. Respective spectra of food products for a plurality of segments of a line are received at a controller from at least one line-scan dispersive spectrometer configured to acquire respective spectra of the food products for the plurality of segments of the line. The controller applies one or more machine learning algorithms to the respective spectra to classify the plurality of segments according to at least one of one or more food parameters. The controller controls one or more of a sorting device and a labeling device according to classifying the plurality of segments to cause the food products to be one or more of sorted and labeled according to the at least one of the one or more food parameters.

Abstract: Devices, systems and methods for sorting and labeling food products are provided. Respective spectra of food products for a plurality of segments of a line are received at a controller from at least one line-scan dispersive spectrometer configured to acquire respective spectra of the food products for the plurality of segments of the line. The controller applies one or more machine learning algorithms to the respective spectra to classify the plurality of segments according to at least one of one or more food parameters. The controller controls one or more of a sorting device and a labeling device according to classifying the plurality of segments to cause the food products to be one or more of sorted and labeled according to the at least one of the one or more food parameters.

Abstract: A device and system for optically analyzing food products is provided. The device comprises first and second imaging devices respectively sensitive to first and second wavelengths; the imaging devices include a line-scan camera to acquire images of food products at a line in a food-path-facing direction, and a line-scan spectrometer to acquire spectroscopic images at the line. The device includes an optical filter configured to: convey the first wavelengths from the line to the first imaging device; and convey the second wavelengths from the line to the second imaging device. The device includes a frame to align the optical filter and respective optical axes of the first and second imaging devices, relative to each other and the food-path-facing direction, such that the first imaging device and the second imaging device are optically aligned via the optical filter to image the line.