Using Deep Neuronal Network technology in combination with the Chemical Imaging Technology (CIT Gen3), the Sherlock Hypernova by Insort detects, processes and optimizes data from the sorting process with high reliability. The system has been developed for sorting small-sized food products. The modular design allows to be configured specifically for each product, position in the line and tailored to individual requirements. The software InlineFoodlab 4.0 allows processors to get quantiative chemical data of the product and reliable real time inline quality data. Drymatter values in potato products, rancidity in nuts, amygdalin in almonds, oilcontent in pumpkin seeds, moisture level in dried fruit, shell count in nuts or Brix level in fruits are some examples.
The optoNCDT 1760-1000 long-range laser sensor by Micro-Epsilon also measures at distances of up to 2m with up to 7.5kHz.