Camera sorters are used both for food and non-food applications such as French fries, shrimps, vegetables, potatoes (washed and unwashed), snacks and polymer pellets. High-speed cameras (monochromatic as well as RGB) scan products on or off-belt. Detection capabilities are not limited to the visible spectrum, but also take advantage of infra-red, ultra violet and other spectra. The advantage of cameras is that you can place them in different angles to scan the product from multiple sides.
TOMRA’s camera sorters combine colour, infra-red and fluorescence detection with shape recognition. This multi-tasking set-up results in high detection rates and low false rejection, while implementing an easy to use interface.
This camera technology can be installed on free-fall sorting machines or belt sorters, depending on the product, condition, shape and expected performance.
Provided there is no difference in colour, the camera is able to analyse the object by shape. A general shape sorting toolbox adds complementary sorting capabilities to the camera by applying object oriented features like length, width, diameter, area, broken piece recognition, etc. It also integrates an advanced ‘template matching’ software to target e.g. stems and stalks in green beans. The carrot sorting module allows to sort on the shape of carrots at a high speed and on large volumes. The camera can sort a multitude of different applications on shape.
With SWIR technology, water based products such as frozen fruit and vegetables absorb the light, whereas difficult defects such as wood and plastic reflect it. Contaminants such as glass, cardboard and metal are detected and rejected from the good product, providing optimum sorting efficiency with extremely low false reject.